International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Assessment and Evaluation System in Engineering Education of UG Programmes at...ijtsrd
Assessment is one of the most critical dimensions in engineering education process it focuses not only on identifying how many of the predefined education goals and objectives outcomes have been achieved but also works as a feedback component for educators to upgrade their teaching practices. The assessment can be seen as a link that it forms with other education processes. Lamprianou et al. 2009 point out that assessment is associated with the educational objectives of "evaluation, diagnosis, guidance, selection, placement, administration, prediction or grading. Assessment is one main factors that contribute to a high quality teaching and learning environment and student's performance as whole. It also makes clearer what teachers expect from students Biggs et al., 1999 . The perceived difficulty in this process is how assessment system, approaches and schemes can be standardized and adapted across the premier institutes NITs of in the country. Credit system has been used widely by many HEIs in India for over 20 years but no nationally agreed and rationalized framework of credit and Credit Transfer and Accumulation System is developed. The purpose of the literature review is to outline research studies in the assessment and evaluation systems being practicedand to highlight the studies that can be used in the research project undertaken. Specifically, the literature review attempts to address the following research questions What researches are undertaken nationally and internationally into the assessment system in higher education, especially engineering education What are the key findings from these researches What are the limits delimitations of these researches Are there research findings could be applied to engineering education at UG in NITs in India Are there any prime concern for future research in this area From this literature review, it is apparent that a very few number of studies have been conducted in higher education institutions but no research was found in the context of Engineering Education specific to UG programmes and NITs. However, many innovations are on the way to improvise the assessment and evaluation mechanisms in the engineering education especially in the context of Outcome Based Education OBE . J. P. Tegar | Shreya Gupta "Assessment and Evaluation System in Engineering Education of UG Programmes at Premier Institutes (NITs) in India - A Review of Literature" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30921.pdf Paper Url :https://www.ijtsrd.com/humanities-and-the-arts/education/30921/assessment-and-evaluation-system-in-engineering-education-of-ug-programmes-at-premier-institutes-nits-in-india--a-review-of-literature/j-p-tegar
The effect of the OSGIPE learning model based on the Indonesian National Qual...IJAEMSJORNAL
This research is a package that was carried out in a period of 3 years to develop a learning model based on the framework of Indonesia's national qualifications in an effort to improve students' vocational high school soft skills. The first year conducted two years ago, a draft learning model was found, namely the OSGIPE model. In the second year, a formative evaluation was carried out on the OSGIPE model through one on one, small group, and limited field trials. There was a significant increase in students' soft skills amounting to 23.05%. In the third year which is this year, a summative evaluation through wide field trials it have been carried out and still show that there is a significant increase in students' soft skills amounting to 23.44 %. It means that the OSGIPE model was feasible and effectively used to improve the soft skills of vocational high school technology students. So, the OSGIPE model can be used as an operational product concistently.
Study of Performance Appraisal System for Faculty Members in Selected Managem...ijtsrd
"Performance Appraisal provides a periodic review and evaluation of an individual’s job performance. Although the appraisal forms may only be completed once a year, the job of performance appraisal is continuous – sometimes daily and requires effective communication on both the part of the supervisor and the Respondent. The supervisor is ultimately responsible to make sure these conversations actually take place and are documented. It is essential that the supervisor hold all performance discussions and documentation in complete confidence. Every organization is having an objective towards optimum performance and the Respondent is the key in achieving it. It is necessary that the Respondents performance should reach optimality for the success of the organization. Many organizations are having performance appraisal systems to evaluate the effectiveness and efficiency of their Respondent using linguistic labels to their performance. In a production unit, Respondent performance is proportional to the quality and quantity of production, where as in case of educational institute there is no such direct tool available to evaluate the productivity of its faculty members. In judging efficiency of faculty members, often the institute deals with vague or imprecise data resulting to an inconsistence performance evaluation. This study has been particularly taken by the researcher to understand the present scenario of the institute performance appraisal system in these colleges. Researcher wants to find out the weather appraisal is really helping Respondents for the better future or not. Mr. Santosh V. Hasure | Mr. Viraj V. Jadhav ""Study of Performance Appraisal System for Faculty Members in Selected Management Institutes Affiliated to Shivaji University Kolhapur"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Fostering Innovation, Integration and Inclusion Through Interdisciplinary Practices in Management , March 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23069.pdf
Paper URL: https://www.ijtsrd.com/management/hrm-and-retail-business/23069/study-of-performance-appraisal-system-for-faculty-members-in-selected-management-institutes-affiliated-to-shivaji-university-kolhapur/mr-santosh-v-hasure"
Development of Indonesian National Qualification Framework-Based teaching mod...IJAEMSJORNAL
The learning model developed in this study is a whole series of presentation of teaching material that covers all aspects before being and after learning conducted by lecturers by including teaching materials in the teaching and learning process. The learning model developed is called QI MODELS with the syntax: Goals, Observation, Project, Discussion, Task, Practice, Meaningful, Justification, and Evaluation. Teaching material contains a set of material from the course "Instructional Media Design" that is arranged systematically so that lecturers and students can use it in the learning process in an atmosphere and a comfortable environment for learning. To see the effectiveness of the product an analysis of the learning outcomes of the 26 students taught using the Instructional Media Design textbook developed, and compared with the learning outcomes of students in the class taught with presentation material. Based on the analysis, the average value of basic competencies using instructional materials for Indonesian National Qualification Framework (INQF)-based Instructional Media Design is higher than the average value of students who use presentation materials. Testing the hypothesis used is a different test. From the calculation results obtained tcount = 7.63 while ttable = 2.01. Because tcount = 7.63>ttable = 2.01, it was concluded that there was a significant difference in students' learning achievement using Instructional Media Design textbooks and using presentation material. The effectiveness of the use of Instructional Media Design textbooks is 79.09%.
Assessment and Evaluation System in Engineering Education of UG Programmes at...ijtsrd
Assessment is one of the most critical dimensions in engineering education process it focuses not only on identifying how many of the predefined education goals and objectives outcomes have been achieved but also works as a feedback component for educators to upgrade their teaching practices. The assessment can be seen as a link that it forms with other education processes. Lamprianou et al. 2009 point out that assessment is associated with the educational objectives of "evaluation, diagnosis, guidance, selection, placement, administration, prediction or grading. Assessment is one main factors that contribute to a high quality teaching and learning environment and student's performance as whole. It also makes clearer what teachers expect from students Biggs et al., 1999 . The perceived difficulty in this process is how assessment system, approaches and schemes can be standardized and adapted across the premier institutes NITs of in the country. Credit system has been used widely by many HEIs in India for over 20 years but no nationally agreed and rationalized framework of credit and Credit Transfer and Accumulation System is developed. The purpose of the literature review is to outline research studies in the assessment and evaluation systems being practicedand to highlight the studies that can be used in the research project undertaken. Specifically, the literature review attempts to address the following research questions What researches are undertaken nationally and internationally into the assessment system in higher education, especially engineering education What are the key findings from these researches What are the limits delimitations of these researches Are there research findings could be applied to engineering education at UG in NITs in India Are there any prime concern for future research in this area From this literature review, it is apparent that a very few number of studies have been conducted in higher education institutions but no research was found in the context of Engineering Education specific to UG programmes and NITs. However, many innovations are on the way to improvise the assessment and evaluation mechanisms in the engineering education especially in the context of Outcome Based Education OBE . J. P. Tegar | Shreya Gupta "Assessment and Evaluation System in Engineering Education of UG Programmes at Premier Institutes (NITs) in India - A Review of Literature" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30921.pdf Paper Url :https://www.ijtsrd.com/humanities-and-the-arts/education/30921/assessment-and-evaluation-system-in-engineering-education-of-ug-programmes-at-premier-institutes-nits-in-india--a-review-of-literature/j-p-tegar
The effect of the OSGIPE learning model based on the Indonesian National Qual...IJAEMSJORNAL
This research is a package that was carried out in a period of 3 years to develop a learning model based on the framework of Indonesia's national qualifications in an effort to improve students' vocational high school soft skills. The first year conducted two years ago, a draft learning model was found, namely the OSGIPE model. In the second year, a formative evaluation was carried out on the OSGIPE model through one on one, small group, and limited field trials. There was a significant increase in students' soft skills amounting to 23.05%. In the third year which is this year, a summative evaluation through wide field trials it have been carried out and still show that there is a significant increase in students' soft skills amounting to 23.44 %. It means that the OSGIPE model was feasible and effectively used to improve the soft skills of vocational high school technology students. So, the OSGIPE model can be used as an operational product concistently.
Study of Performance Appraisal System for Faculty Members in Selected Managem...ijtsrd
"Performance Appraisal provides a periodic review and evaluation of an individual’s job performance. Although the appraisal forms may only be completed once a year, the job of performance appraisal is continuous – sometimes daily and requires effective communication on both the part of the supervisor and the Respondent. The supervisor is ultimately responsible to make sure these conversations actually take place and are documented. It is essential that the supervisor hold all performance discussions and documentation in complete confidence. Every organization is having an objective towards optimum performance and the Respondent is the key in achieving it. It is necessary that the Respondents performance should reach optimality for the success of the organization. Many organizations are having performance appraisal systems to evaluate the effectiveness and efficiency of their Respondent using linguistic labels to their performance. In a production unit, Respondent performance is proportional to the quality and quantity of production, where as in case of educational institute there is no such direct tool available to evaluate the productivity of its faculty members. In judging efficiency of faculty members, often the institute deals with vague or imprecise data resulting to an inconsistence performance evaluation. This study has been particularly taken by the researcher to understand the present scenario of the institute performance appraisal system in these colleges. Researcher wants to find out the weather appraisal is really helping Respondents for the better future or not. Mr. Santosh V. Hasure | Mr. Viraj V. Jadhav ""Study of Performance Appraisal System for Faculty Members in Selected Management Institutes Affiliated to Shivaji University Kolhapur"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Fostering Innovation, Integration and Inclusion Through Interdisciplinary Practices in Management , March 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23069.pdf
Paper URL: https://www.ijtsrd.com/management/hrm-and-retail-business/23069/study-of-performance-appraisal-system-for-faculty-members-in-selected-management-institutes-affiliated-to-shivaji-university-kolhapur/mr-santosh-v-hasure"
Development of Indonesian National Qualification Framework-Based teaching mod...IJAEMSJORNAL
The learning model developed in this study is a whole series of presentation of teaching material that covers all aspects before being and after learning conducted by lecturers by including teaching materials in the teaching and learning process. The learning model developed is called QI MODELS with the syntax: Goals, Observation, Project, Discussion, Task, Practice, Meaningful, Justification, and Evaluation. Teaching material contains a set of material from the course "Instructional Media Design" that is arranged systematically so that lecturers and students can use it in the learning process in an atmosphere and a comfortable environment for learning. To see the effectiveness of the product an analysis of the learning outcomes of the 26 students taught using the Instructional Media Design textbook developed, and compared with the learning outcomes of students in the class taught with presentation material. Based on the analysis, the average value of basic competencies using instructional materials for Indonesian National Qualification Framework (INQF)-based Instructional Media Design is higher than the average value of students who use presentation materials. Testing the hypothesis used is a different test. From the calculation results obtained tcount = 7.63 while ttable = 2.01. Because tcount = 7.63>ttable = 2.01, it was concluded that there was a significant difference in students' learning achievement using Instructional Media Design textbooks and using presentation material. The effectiveness of the use of Instructional Media Design textbooks is 79.09%.
Presentation on the effectiveness of E-learning within the premises of Tata S...Anannya Chakraborty.
Learning and development and how that has affected workers and co workers of Tata Steel Tubes Strategic Business Unit. The video discusses on the effectiveness of E-learning and how that could eradicate the undeucative practises of Tata Steel co-workers and staff members and also in a manner that it has helped me in my learning process. The process of imparting the educative policies in Tata Steel has benefitted staffs, members and the workers working within the Tata Steel.
Development of Instructional Model Based on Indonesian National Qualification...IJAEMSJORNAL
This study aims to develop a learning model based on the framework of Indonesia's national qualifications in an effort to improve students' vocational high school soft skills in North Sumatra Province. In particular, this study aims to (1) find soft skills that are in accordance with the needs of the world of work through needs analysis from various sources (stakeholders) and library studies, (2) find the basis of KKNI-based learning models through design based on the results of needs analysis and library studies. (3) finding the effectiveness of the learning model through testing the learning model on a limited and broad scale, (4) and disseminating the developed learning model to the teachers of Technology Vocational Schools in North Sumatra Province. This research uses development research methods, carried out directly with descriptive data collection that processes and analyzes inductive data. To produce operational products, namely the Indonesian National Qualification Framework (KKNI) based learning model, a cycle of research and development was carried out known as "the R & D cycle" which was carried out in stages over a period of three years. In the first year research, survey methods were used through needs analysis. The second year, the trial method was used through expert review procedures, one-on-one trials, small group trials, and field trials (first class). In the third year using a quasi-experimental method with the design of "Pretest-Posttest Control Group Design", for a broader scale and method of dissemination. The population of this research is the State Technology Vocational School students in the field of technology and engineering expertise in North Sumatra Province. The research sample was taken by area randomly. Data collection techniques used in this study were non-test techniques and test techniques. The non-test techniques used were questionnaire techniques, interviews, and documentation. The test technique used is the appearance test technique (performance test). The data analysis techniques used are (1) descriptive analysis to describe the data analysis of the needs and results of the trial data, and (2) One Way Anova test to determine the differences in the effectiveness of the teaching materials tested.
Factors Affecting the Satisfaction Level of Enterprises with the Training Qua...ijtsrd
The study aims to identify factors affecting enterprises satisfaction with the training quality of universities in the Mekong Delta. The study uses Cronbachs alpha to test the scale reliability, exploratory factor analysis EFA , and multivariate linear regression. Research data were collected from 92 enterprises whose employees graduated from universities in the Mekong Delta. The research result has pointed out five factors affecting the satisfaction of enterprises with the quality of training. They include work attitude, work knowledge, personal personality, professional competence, and operational skill. In particular, work attitude has the strongest impact on the satisfaction of enterprises with the university training quality. Ly Men Ten "Factors Affecting the Satisfaction Level of Enterprises with the Training Quality: A Case Study of Universities in the Mekong Delta, Vietnam" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd38050.pdf Paper URL : https://www.ijtsrd.com/management/management-development/38050/factors-affecting-the-satisfaction-level-of-enterprises-with-the-training-quality-a-case-study-of-universities-in-the-mekong-delta-vietnam/ly-men-ten
A Survey on Research work in Educational Data Miningiosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
EXPERIENCE WITH THE APPLICATION OF AHP METHOD IN THE EMPLOYEE'S COMPETENCY PR...Monika Sujakova
the analytic hierarchical process in the area of competence university teachers of Institute of Industrial Engineering and Management, Faculty of Materials Science and Technology Slovak University of Technology (UPIM MTF STU). The article contains a proposal for determine worker competency profile and a proposal to assess the suitability of the candidate for the post of teacher of UPIM MTF STU.
Educational Data Mining is used to find interesting patterns from the data taken from
educational settings to improve teaching and learning. Assessing student’s ability and performance with
EDM methods in e-learning environment for math education in school level in India has not been
identified in our literature review. Our method is a novel approach in providing quality math education
with assessments indicating the knowledge level of a student in each lesson. This paper illustrates how
Learning Curve – an EDM visualization method is used to compare rural and urban students’ progress
in learning mathematics in an e-learning environment. The experiment is conducted in two different
schools in Tamil Nadu, India. After practicing the problems the students attended the test and their
interaction data are collected and analyzed their performance in different aspects: Knowledge
component level, time taken to solve a problem, error rate. This work studies the student actions for
identifying learning progress. The results show that the learning curve method is much helpful to the
teachers to visualize the students’ performance in granular level which is not possible manually. Also it
helps the students in knowing about their skill level when they complete each unit.
Research on dynamic effects of employability of vocational college students i...ijcsit
This study used the dynamic scenario simulation of system dynamics to perform simulation on the effects of
education policies, trend of employment demand, and employability qualities of vocational college
graduates on the development of employment demand in Taiwan’s technology industry. According to the
research results, dynamic situational simulation of system dynamics can be used to simulate the effect of
changes in education policy system with time on the development and trend of employment demand in
technology industry. The simulation results of policy scenario showed that the talent shortage in technology
industry should be overcome by improving education policy. The problem of talent shortage cannot be
effectively alleviated until the matching rate between education policy and employment demand reaches
90%. The simulation results of this study can be provided as reference for education policy planners to
improve the employability of vocational college students. It is intended to provide valuable suggestions to
reduce the unemployment rate of vocational college graduates and to substantially reduce the gap between
industries and academia, in order to further enhance Taiwan’s competitiveness in the global economic
system.
This study is aiming to investigate influencing factor of entrepreneurship collaborative learning performances by using Partial Least Squares Structural Equation Modeling approach (PLS-SEM). A hypothetical conceptual model for improving entrepreneurship learning performance develop based on the previous study, which composed of four enablers called university’s vision and mission, entrepreneurial background lecturer, strong culture and rewards system.The methodology used to test the conceptual model was delivering the questionnaire survey to 72 (seventy two) lecturers in business field. The unit analysis of this study is the universities, both public and private universities in South of Tangerang. Sample was selected using simple random sampling. The questionnaires were developed from the past studies in similar area of entrepreneurship in higher education, before distributed to the respondents. The findings from this study provide insight to construction that the relationships of variable vision and mission to effectiveness have path coefficient value 0.195 and the lecture background is 0.040. Meanwhile, reward and culture shows stronger influence to Entrepreneurship collaborative Learning Effectiveness with the patch coefficient values are 0.296 and 0.335.
CRITERION BASED AUTOMATIC GENERATION OF QUESTION PAPERvivatechijri
In any educational course curriculum, the courses are defined with learning objectives. Teachers conduct assessments to know if students have achieved certain learning objectives or not. The Proposed System provides a solution to choose challenging, well framed questions and make it easy for the user to generate it within a short period of time. The existing tools are rigid and support very basic or limited parameters. In our system we allow admin and user to input a set of questions and mark them with parameters such as difficulty level, complexity, type of question, module, min and max weightage. It contains two modules namely admin module and user module and the question management makes it an effortless task. From the entered input the paper is generated and saved as a .pdf file which can be kept for own or distributed as per the user or admin requirements. The required software and hardware are easily available and easy to work with. The goal is to simplify its current manual method, by means of computerised equipment and complete computer applications, in order to meet its needs, so that its important data/information can be stored for a longer period of time with easy access and manipulation. Basically the project describes how to manage for good performance and better services for the clients.
Presentation on the effectiveness of E-learning within the premises of Tata S...Anannya Chakraborty.
Learning and development and how that has affected workers and co workers of Tata Steel Tubes Strategic Business Unit. The video discusses on the effectiveness of E-learning and how that could eradicate the undeucative practises of Tata Steel co-workers and staff members and also in a manner that it has helped me in my learning process. The process of imparting the educative policies in Tata Steel has benefitted staffs, members and the workers working within the Tata Steel.
Development of Instructional Model Based on Indonesian National Qualification...IJAEMSJORNAL
This study aims to develop a learning model based on the framework of Indonesia's national qualifications in an effort to improve students' vocational high school soft skills in North Sumatra Province. In particular, this study aims to (1) find soft skills that are in accordance with the needs of the world of work through needs analysis from various sources (stakeholders) and library studies, (2) find the basis of KKNI-based learning models through design based on the results of needs analysis and library studies. (3) finding the effectiveness of the learning model through testing the learning model on a limited and broad scale, (4) and disseminating the developed learning model to the teachers of Technology Vocational Schools in North Sumatra Province. This research uses development research methods, carried out directly with descriptive data collection that processes and analyzes inductive data. To produce operational products, namely the Indonesian National Qualification Framework (KKNI) based learning model, a cycle of research and development was carried out known as "the R & D cycle" which was carried out in stages over a period of three years. In the first year research, survey methods were used through needs analysis. The second year, the trial method was used through expert review procedures, one-on-one trials, small group trials, and field trials (first class). In the third year using a quasi-experimental method with the design of "Pretest-Posttest Control Group Design", for a broader scale and method of dissemination. The population of this research is the State Technology Vocational School students in the field of technology and engineering expertise in North Sumatra Province. The research sample was taken by area randomly. Data collection techniques used in this study were non-test techniques and test techniques. The non-test techniques used were questionnaire techniques, interviews, and documentation. The test technique used is the appearance test technique (performance test). The data analysis techniques used are (1) descriptive analysis to describe the data analysis of the needs and results of the trial data, and (2) One Way Anova test to determine the differences in the effectiveness of the teaching materials tested.
Factors Affecting the Satisfaction Level of Enterprises with the Training Qua...ijtsrd
The study aims to identify factors affecting enterprises satisfaction with the training quality of universities in the Mekong Delta. The study uses Cronbachs alpha to test the scale reliability, exploratory factor analysis EFA , and multivariate linear regression. Research data were collected from 92 enterprises whose employees graduated from universities in the Mekong Delta. The research result has pointed out five factors affecting the satisfaction of enterprises with the quality of training. They include work attitude, work knowledge, personal personality, professional competence, and operational skill. In particular, work attitude has the strongest impact on the satisfaction of enterprises with the university training quality. Ly Men Ten "Factors Affecting the Satisfaction Level of Enterprises with the Training Quality: A Case Study of Universities in the Mekong Delta, Vietnam" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd38050.pdf Paper URL : https://www.ijtsrd.com/management/management-development/38050/factors-affecting-the-satisfaction-level-of-enterprises-with-the-training-quality-a-case-study-of-universities-in-the-mekong-delta-vietnam/ly-men-ten
A Survey on Research work in Educational Data Miningiosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
EXPERIENCE WITH THE APPLICATION OF AHP METHOD IN THE EMPLOYEE'S COMPETENCY PR...Monika Sujakova
the analytic hierarchical process in the area of competence university teachers of Institute of Industrial Engineering and Management, Faculty of Materials Science and Technology Slovak University of Technology (UPIM MTF STU). The article contains a proposal for determine worker competency profile and a proposal to assess the suitability of the candidate for the post of teacher of UPIM MTF STU.
Educational Data Mining is used to find interesting patterns from the data taken from
educational settings to improve teaching and learning. Assessing student’s ability and performance with
EDM methods in e-learning environment for math education in school level in India has not been
identified in our literature review. Our method is a novel approach in providing quality math education
with assessments indicating the knowledge level of a student in each lesson. This paper illustrates how
Learning Curve – an EDM visualization method is used to compare rural and urban students’ progress
in learning mathematics in an e-learning environment. The experiment is conducted in two different
schools in Tamil Nadu, India. After practicing the problems the students attended the test and their
interaction data are collected and analyzed their performance in different aspects: Knowledge
component level, time taken to solve a problem, error rate. This work studies the student actions for
identifying learning progress. The results show that the learning curve method is much helpful to the
teachers to visualize the students’ performance in granular level which is not possible manually. Also it
helps the students in knowing about their skill level when they complete each unit.
Research on dynamic effects of employability of vocational college students i...ijcsit
This study used the dynamic scenario simulation of system dynamics to perform simulation on the effects of
education policies, trend of employment demand, and employability qualities of vocational college
graduates on the development of employment demand in Taiwan’s technology industry. According to the
research results, dynamic situational simulation of system dynamics can be used to simulate the effect of
changes in education policy system with time on the development and trend of employment demand in
technology industry. The simulation results of policy scenario showed that the talent shortage in technology
industry should be overcome by improving education policy. The problem of talent shortage cannot be
effectively alleviated until the matching rate between education policy and employment demand reaches
90%. The simulation results of this study can be provided as reference for education policy planners to
improve the employability of vocational college students. It is intended to provide valuable suggestions to
reduce the unemployment rate of vocational college graduates and to substantially reduce the gap between
industries and academia, in order to further enhance Taiwan’s competitiveness in the global economic
system.
This study is aiming to investigate influencing factor of entrepreneurship collaborative learning performances by using Partial Least Squares Structural Equation Modeling approach (PLS-SEM). A hypothetical conceptual model for improving entrepreneurship learning performance develop based on the previous study, which composed of four enablers called university’s vision and mission, entrepreneurial background lecturer, strong culture and rewards system.The methodology used to test the conceptual model was delivering the questionnaire survey to 72 (seventy two) lecturers in business field. The unit analysis of this study is the universities, both public and private universities in South of Tangerang. Sample was selected using simple random sampling. The questionnaires were developed from the past studies in similar area of entrepreneurship in higher education, before distributed to the respondents. The findings from this study provide insight to construction that the relationships of variable vision and mission to effectiveness have path coefficient value 0.195 and the lecture background is 0.040. Meanwhile, reward and culture shows stronger influence to Entrepreneurship collaborative Learning Effectiveness with the patch coefficient values are 0.296 and 0.335.
CRITERION BASED AUTOMATIC GENERATION OF QUESTION PAPERvivatechijri
In any educational course curriculum, the courses are defined with learning objectives. Teachers conduct assessments to know if students have achieved certain learning objectives or not. The Proposed System provides a solution to choose challenging, well framed questions and make it easy for the user to generate it within a short period of time. The existing tools are rigid and support very basic or limited parameters. In our system we allow admin and user to input a set of questions and mark them with parameters such as difficulty level, complexity, type of question, module, min and max weightage. It contains two modules namely admin module and user module and the question management makes it an effortless task. From the entered input the paper is generated and saved as a .pdf file which can be kept for own or distributed as per the user or admin requirements. The required software and hardware are easily available and easy to work with. The goal is to simplify its current manual method, by means of computerised equipment and complete computer applications, in order to meet its needs, so that its important data/information can be stored for a longer period of time with easy access and manipulation. Basically the project describes how to manage for good performance and better services for the clients.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Teacher’s Performance Appraisal System Using Fuzzy Logic- A Case Studyrahulmonikasharma
Assessment of faculty performance is a significant element in enhancing the excellence of the work and improves their incentive to execute well. It also presents a basis for promotion and enhancing of an educational organization. Moreover teaching faculty are the most precious and active assets of an educational organization. This article presents a case study of a performance appraisal system, which deals the faculty’s qualitative actions in fuzzy parameters to evaluate their performance in an Institute. The method constitutes of collection of fuzzy appraisals from immediate supervisors/in-charges, then transforms the linguistic appraisals into fuzzy numbers and calculates a performance evaluation score of the faculty. This case study promotes understanding, further feasible modifications and usage of the fuzzy performance appraisal system in reputed Educational organizations which will surely satisfy the actual purpose of faculty self appraisal with complete, accurate and unbiased information.
The International Journal of Mechanical Engineering Research and Technology is an international online journal published Quarterly offers fast publication schedule whilst maintaining rigorous peer review. The use of recommended electronic formats for article delivery expedites the process All submitted research articles are subjected to the immediate rapid screening by editors consultation with Editorial Board or others working in the field of appropriate to ensure that they are likely to be the level of interest and importance of appropriate for the journal.
ISSN 2454-535X
International Journal of Mechanical Engineering Research and Technology aims to provide the best possible service to authors of original research articles, and the fairest system of peer review.
The International Journal of Mechanical Engineering Research and Technology is an international online journal in English published Quarterly. This offers a fast publication schedule whilst maintaining rigorous peer review; the use of recommended electronic formats for article delivery expedites the process. All submitted research articles are subjected to immediate rapid screening by the editors, in consultation with the Editorial Board or others working in the field as appropriate, to ensure they are likely to be of the level of interest and importance appropriate for the journal.
Technology Adoption of Online Performance Evaluation System for Facultyijtsrd
The researched assessed the technology adoption of on line performance evaluation system for faculty of Golden Success College for Academic Year 2019 2020 towards web base application adoption. There were a total of one hundred ninety two 192 respondents. The study made use of descriptive normative method of research. Frequencies, percentages, ranks and weighted means were used to describe data. Based on the gathered data, the research revealed that technology adoption of online performance evaluation for faculty as perceived by the respondents is acceptable, thus the system using web application should be implemented. Furthermore, it is recommended that the web application will be deployed at Golden Success College in order to improve the teaching performance of the faculty which is essential to school operation. Ma Olga DC Alvarez "Technology Adoption of Online Performance Evaluation System for Faculty" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-2 , February 2021, URL: https://www.ijtsrd.com/papers/ijtsrd38437.pdf Paper Url: https://www.ijtsrd.com/engineering/other/38437/technology-adoption-of-online-performance-evaluation-system-for-faculty/ma-olga-dc-alvarez
Ishfaq Majid. “ICT in Assessment: A Backbone for Teaching and Learning Process” United International Journal for Research & Technology (UIJRT) 1.3 (2019): 38-40.
Determinants of Lecturers Assessment Practice in Higher Education in Somaliaijejournal
This research investigated the determinants of lecturers' assessment practices in higher education institutions in Mogadishu, Somalia. The factors that determined the lecturer’s assessment practice were design, interpretation, application, and administration mechanisms. A quantitative research design was conducted. The questionnaire was used, Cronbach's alpha value is.917. This shows that the scale's internal consistency and reliability for this sample are quite excellent. r =.636, P = 0.000,.05., the findings revealed a significant, favorable, and robust relationship between design and lecturers' assessment practices. Also, the correlation table shows a good connection between assessment, interpretation, application, and lecturers' assessment practice. (Explained) (r =.575, p = 0.000,.05) (R =.516, p =.000, 0.05) there is a strong positive relationship between assessment design, interpretation, and application to lecturers’ assessment practice. I recommend that the administration of public and private higher education institutions focus on in-service training on how to upgrade the skills of lecturers toward assessment practice.
A case study of an affiliated undergraduate engineering institution showing f...Premier Publishers
The objective of the study is to examine the faculty members’ perspective (qualification wise) of parameters affecting the quality of education in an affiliated undergraduate engineering institution in Haryana. The research is a descriptive type of research in nature. The data has been collected with the help of Questionnaire Based Survey. The sample size for the study is 110 comprising of the faculty respondents. The sample has been taken on the random (Probability) basis and the questionnaire was filled by the faculty members (teaching B.Tech) chosen on the random basis from an affiliated undergraduate engineering institution in Haryana. For data analysis and conclusion of the results of the survey, statistical tool like f test was performed with the help of high quality software; SPSS. To conclude, the faculty members’ perceptions about the “Selection Process”, “Academic Excellence”, “Infrastructure”, “Personality Development and Industry Exposure” and “Management and Administration”, does not change according to their level of qualification in the affiliated undergraduate engineering institution in Haryana.
Clustering Students of Computer in Terms of Level of ProgrammingEditor IJCATR
Educational data mining (EDM) is one of the applications of data mining. In educational data mining, there are two key domains, i.e. student domain and faculty domain. Different type of research work has been done in both domains.
In existing system the faculty performance has calculated on the basis of two parameters i.e. Student feedback and the result of student in that subject. In existing system we define two approaches one is multiple classifier approach and the other is a single classifier approach and comparing them, for relative evaluation of faculty performance using data mining
Techniques. In multiple classifier approach K-nearest neighbor (KNN) is used in first step and Rule based classification is used in the second step of classification while in single classifier approach only KNN is used in both steps of classification.
But in proposed system, I will analyse the faculty performance using 4 parameters i.e., student complaint about faculty, Student review feedback for faculty, students feedback, and students result etc.
For this proposed system I will be going to use opinion mining technique for analyzing performance of faculty and calculating score of each faculty.
Efficiency of Women’s Technical Institutions By Using Bcc Model Through Dea A...IOSR Journals
This paper conducts an application of the DEA Methodology in the assessment of the performance of JNTUH Colleges the indicators included the Faculty, Students, Infrastructure and Placements of the technical Institutions. The results reveal those institutions that more efficiently carry out these activities. The proposed method has been used for selection of quality attributes in technical education setting the performance of an institute is likely to be influenced by quality of teacher, quality of students, infrastructure administration, extent of training and placement and many others. It is felt that quality and performance evaluation is necessary not only for appraisal but it is also required to improve overall service quality. Finally we discuss about the existence of differences in the strengths and weaknesses between the technical institutions.
In recent times, higher education institutions have been paying close attention to student opinions about the
experience of learning and teaching through internal surveys. The online feedback system is a web-based application
that provides students' feedback to college’s base online. This online system is a good place to find the kind of feedback
you need and it is efficient to get feedback analysis. Students provide feedback online through the use of a standard
designed form. In the proposed system, security is included, the result of which is visible only to accredited users. Online
feedback is an indispensable feature of evaluating effective and efficient teaching and learning methods. Report is made
in the proposed system for creating and the semantic web seeks to recreate the existing web concept that will enable us.
Advanced automation of web content, so that data can be distributed and processed by humans and software.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
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👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
H045074150
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Fuzzy Expert Model for Evaluation of Faculty Performance in
Technical Educational Institutions
Ms. G. Jyothi*, Mrs. Ch. Parvathi**, Mr. P. Srinivas***, and Mr. Sk. Althaf
Rahaman****
*(Department of Information Technology, Vignan’s Institute of Information Technology: Visakhapatnam-
530049, AP, INDIA)
** (Department of Information Technology, Vignan’s Institute of Information Technology: Visakhapatnam-
530049, AP, INDIA)
*** (Department of Information Technology, Vignan’s Institute of Information Technology: Visakhapatnam-
530049, AP, INDIA)
** ** (Department of Information Technology, Vignan’s Institute of Information Technology: Visakhapatnam-
530049, AP, INDIA)
ABSTRACT
In developing countries, higher education is seen as an essential means for creation and development of
resources and for improving the life of people to whom it has to serve. Worldwide National policies on higher
education are been given increasing importance to improve the quality of education on offer. Consequently, the
evaluation of Faculty performance in teaching activity is especially relevant for the academic institutions. It
helps to define efficient plans to guarantee quality of teachers and the teaching learning process. In this paper,
an optimization Evolution model for academic performance of the faculty’s in technical institutions based on
teaching activity series of qualitative reports is presented. We have proposed a Fuzzy Expert System for
evaluating teachers overall performance based on fuzzy logic techniques under uncertain facts in the decision
making process. A suitable fuzzy inference mechanism and associated rules are been discussed. It introduces the
principles behind fuzzy logic and illustrates how these principles could be applied by educators to evaluating
faculty’s performance. This model will help to write the Annual Confidential Reports of all the employees of an
organization.
Keywords - Fuzzy logic, R&D, Faculty, Member Function.
I. INTRODUCTION
In developing countries, like India and other
countries, higher education is seen as an essential
means for creation and development of resources and
for improving the life of people to whom it has to
serve. A highly reliable and effective performance
evaluation rule is essential in decision making
environments. There is increased consensus that
highly qualified, quality, and effective teachers and
teaching is necessary to improve the academic
performance of the students and there is growing an
interest in identifying individual teacher’s impact on
student’s achievement and also improvement of
image of the educational institutes. Federal
definitions suggest every faculty to assess themselves
regularly to meet this requirement. Though students
gain on standardized achievements is one important
aspect of teaching ability, it is not only the
comprehensive and robust view of teacher
effectiveness.
In this paper we propose an optimization
model and an interactive online Faculty Performance
Appraisal System provides faculty’s with meaningful
appraisals that encourage professional learning and
growth. The process is designed to foster teacher
development and identify opportunities for additional
support where required [6].To assess the performance
of individual faculty in the institutions by integrating
planning and review in the areas viz., Feedback from
students, Teachers self appraisal, Assessment by
peers, and Results of University exams by providing
a structure Online Interactive Interface that possesses
potential related assessment data of Faculty in
educational institutions. By helping teachers achieve
their full potential, the performance appraisal process
represents one element of achieving high levels of
student performance.
Conventional evaluation systems are
representatives of structured systems that employ
quantifiable and non quantifiable measures of
evaluation. It is often difficult to quantify
performance dimensions. For example, “teaching”
may be an important part of the appraisal. However,
how exactly does one measure “teaching”. Academic
administrators often face such issues when trying to
evaluate a staff’s performance.
And also staff has to spend a lot of time in evaluating
each faculty performance manually. This is not only a
RESEARCH ARTICLE OPEN ACCESS
2. Ms. G. Jyothi et al Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 4, Issue 5( Version 7), May 2014, pp.41-50
www.ijera.com 42 | P a g e
time consuming process but may sometimes lead to
errors in calculations. These two problems may
increase the number of persons who involve in the
process. Fuzzy approach can be effectively utilized to
handle imprecision and uncertainty [7]. This
approach to performance appraisal allows the
organization to exercise professional judgment in
evaluating its employees. In real problems,
evaluation techniques engage in handling cases like
subjectivity, fuzziness and imprecise information.
Application of the fuzzy set theory in evaluation
systems can improve evaluation results [1]. Several
researchers have tried to solve this problem through
the analytical hierarchy process (AHP) [2], for
example in personnel selection [3] and shipping
performance evaluation [4], whereby evaluation is
done by aggregating all the fuzzy sets.
This paper has seven sections. The next
section gives a survey of Fuzzy Logic System in
evolution of faculty performance. Section 3 describes
the optimal Architectural Model for Faculty
Performance Assessment. Section 4 describes the
Proposed Method for Faculty Performance
Evaluation. Section 5 describes the Fuzzy Expert
System for Faculty Performance Evaluation. Section
6 describes the experimental result of proposed rule
based Fuzzy Expert System. We conclude paper with
Section 7.
II. SURVEY OF FUZZY METHODS IN
ASSESSMENT OF FACULTY
PERFORMANCE
While fuzzy logic techniques have earned their place
in a variety of field ranging from engineering to
financial sector, to medicine, few efforts have been
made to test the potential usefulness of these methods
in the modeling academic performance evaluation.
This section discusses the literature survey about the
past and current research application of fuzzy logic. It
discusses about the academic achievement of student
and teacher, prediction model and academic
performance evaluation fuzzy logic approaches in
academic performance evaluation.
(A) Modeling Academic Performance Evaluation
Using Soft Computing Techniques: A Fuzzy Logic
Approach.
Ramjeet Singh Yadav et al., (2011) [9], proposed a
Fuzzy Expert System (FES) for student academic
performance evaluation using fuzzy logic techniques.
A suitable fuzzy inference mechanism and associated
rule has been discussed. It introduces the principles
behind fuzzy logic and illustrates how these
principles could be applied by educators to evaluate
student academic performance. Several approaches
using fuzzy logic techniques have been proposed to
provide a practical method for evaluating student
academic performance and comparing the results
(performance) with existing statistical method.
(B) Evaluation of Teacher’s Performance
Evaluation Using Fuzzy Logic Techniques.
Sirigiri Pavani et al., (2012) [8], proposed a
method to deal with the evaluation of teacher’s
academic performance evaluation using fuzzy logic
techniques of Fuzzification of Semester Examination
Results and Performance Value.
(C) Soft Computing Model for Academic
Performance of Teachers Using Fuzzy
Logic
O.K. Chaudhari et al., (2012) [10] proposed
a Fuzzy Expert System for evaluating teachers
overall performance based on fuzzy logic techniques
under “uncertain facts” in the decision making
process. A suitable fuzzy inference mechanism and
associated rule has been discussed. It introduces the
principles behind fuzzy logic and illustrates how
these principles could be applied by educators to
evaluate teachers’ performance. This model will help
to write the Annual Confidential Reports of all the
employees of an organization.
(D) An Evaluation of Students Performance in
Oral Presentation Using Fuzzy Approach
Wan Suhan Wan Daud et al., (2011) [11],
proposed a method for evaluating student’s academic
performance using fuzzy logic approach. They
pointed that the evaluation of students’ performance
is a process of making judgment on a student based
on several elements such as examinations,
assignment, test, quiz, research work and so on. They
have used the following methodology for evaluating
students’ performance.
(E) Fuzzy Logic Based Evaluation of
Performance of Students in Colleges
Mamatha S. Upadhya (2012) [12], proposed
a method for evaluation of students’ performance
based on fuzzy logic. This system is dealt with the
range of possible values for the input and output
variables determined. These (in language of fuzzy set
theory) are the membership function (input variables
vs. the degree of membership function) used to map
the real world measurement values to the fuzzy
values. Values of the input variables are considered
in term of percentage.
III. ARCHITECTURAL MODAL FOR
FACULTY PERFORMANCE
ASSESSMENT
The evaluation of teaching activity can be
defined as the systematic evaluation of teaching
performance according to the professional role and
contribution required to reach the objectives of the
course taking into consideration the institutional
context [13]. Therefore, teaching activity implies the
planning and management of teaching, the
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deployment of teaching methods, learning and
evaluation activities, and finally the revision and
improvement of the procedures carried out. A multi-
criteria analysis in ranking the quality of teaching
using fuzzy rule was proposed in [14].
To put the existing teachers on track, it is
very necessary to evaluate their performance, may be
in quarterly, in semester or annually, depending upon
the resources in academic institutes. University or the
institutions of higher education do not have uniform
standard method or computerized solution for
evaluating teachers’ performance that covers all
factors affecting directly or indirectly the quality of
university or the institutes. Hence the fuzzy logic
model is introduced to evaluate the teachers overall
performance through his or her involvement in the
various sub activity involved in the institute. The
proposed Optimized architectural model of Faculty’s
Assessment system in Fig.1.
Fig.1 Architectural Modal for Faculty Performance
Assessment
Feed Back from Students: Keeping a record of
faculty activities and insights from seeking feedback
on faculty teaching and units is an essential aid to
your reflection, particularly over time as memory
inevitably dims. Such records help you in going
through the cycle of clarifying your teaching goals,
identifying strengths and weaknesses in achieving
these goals, narrowing down any areas for
improvement, devising courses of action for
improvement, and reflecting on these changes as they
are put into practice.
Teacher Self Appraisal: Teacher self appraisal is a
mechanism for improving teaching and learning. We
all agree that teachers’ professional competence and
conscientiousness are the keys to the delivery of
quality education in educational institutions. In a
well-designed staff appraisal system, the instruments
and procedures can constitute valuable professional
development for teachers and enable the college
management to assess teachers’ performance. The
teacher appraisal system assists in recognizing and
encouraging good performance, identifying areas for
development, and improving overall performance of
teachers.
Assessment by Peers: Peer review of academic
practice is commonplace in educational institutes. It
is a well accepted source of information for
development and assessment in the realms of
personal quality and professional quality.
Unfortunately, there is a tendency to think that peer
review of teaching works in the same way as peer
review of personal quality and professional quality. It
is this misapprehension of peer review in teaching
that associates it so strongly with the assessment of
teaching. There is an assessment function for peer
review in teaching, of course, with Heads of
departments being a major source of information for
tenure and promotion at the institutions and
elsewhere. Its greater virtue however is in the
development of teaching. Peer review involves
informed and formative exchanges between
colleagues on every aspect of what they do to help
learning to occur. Peer reviewers work together to
improve the way they work individually with and for
students. Under ideal conditions they do this
collaboratively over a period of time.
Results and University Exams: Writing effective
and efficient exams is a crucial component of the
teaching and learning process. Exams are a common
approach to assess student learning and the results are
useful in a variety of ways. Most often, results are
used to provide students feedback on what they
learned or evaluate the instructional effectiveness of a
course.
IV. PROPOSED METHOD FOR
FACULTY PERFORMANCE
EVALUATION
One of the drawbacks of the conventional
faculty evaluation methods in Fig.2 (a), is the lack of
information behind the evaluation methods that have
been used and what criteria for the 'final result'. To
do so, a fuzzy approach has been used to perform the
proposed method of faculty performance evaluation.
It is important to point out that the aim of the
proposed method is not to replace the current
traditional method of evaluation, instead it will
strengthen the present system by providing additional
information to be used for decision making by the
user through online system.Fig.2(b) shows the
proposed method fuzzy Expert System of faculty
performance evaluation. This system for storage of
data has been planned to use the Oracle Database and
all the user interfaces has been designed using the
JSP technologies. It takes care of different modules
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and their associated functionalities and reports which
are produced as per the applicable strategies.
(a) Process of Traditional Evolution
(b) Proposed method using Fuzzy logic
Fig.2 Proposed Method Fuzzy Expert System for
Faculty Performance Evaluation
Evolution parameters: Based on the above
discussion, Fuzzy Expert System considers the
various elements of performance measures of
teachers with different modules as shown in Table 1.
The fuzzy numbers are:
5- Excellent 4-Very good 3-Good
2-Average 1-Poor
Table 1 Parameters of the evaluation model
Table 1(a) Student Feedback Parameters
Representation
of Fuzzy
Variables
Fuzzy Variables
F1
Feedback parameters
(Grade/rank 1-5)
F11 Quality of teaching
F111 Pace of subject
F112
F113
F114
F115
F116
F117
F118
Used good examples and
illustrations
Motivated to attend the
classes
Used blackboard
efficiently
Used audio visual aids
like OHP, LCD, etc.
Group
discussion/seminar
helped in learning
Stimulated my interest in
the subject
Audibility and clarity of
speech
F12 Factors in learning
F121
F122
Lectures contributed to
my learning
Defined learning
objectives for each period
F13 Assessment of learning
F131
F132
F133
F134
F135
Teacher's feedback on my
assignments was useful
Questions given in exams
are from the topics taught
Problem sets helped me
learn
I can apply the subject
concepts
Answer papers are
evaluated fairly
F14 Mentoring/counseling
F141
F142
Teacher was
approachable outside the
classes
Teacher was sympathetic
to academic/personal
problems
Table 1(b) Teachers Self Appraisal Parameters
Representation of
Fuzzy Variables
Fuzzy Variables
F2 Teachers Self Appraisal
F21 Teaching
F211
F212
F213
F214
F215
F216
F217
Preparation of course
plan
Preparation of class
notes
Syllabus coverage
Quality and quantity of
illustrations & examples
Satisfaction level about
your communication
abilities
Use of teaching aids like
models /animations/
photographs, etc.,
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F218
F219
Frequency of using
OHP/LCD to match with
lesson requirements
Average attendance
percentage of students
Innovation methods of
teaching, if used(give
details separately)
F22 Assessment of learning
F221
F222
F223
F224
F225
F225
Level of student
response to your
questioning during class
Average marks of class
in the slip tests at the end
of the class or class tests
at the end of the
unit(specify the number
of tests conducted)
Laying down learning
objectives for each topic
Organizing group
discussions as per plan
Conducting student
seminars as per approved
schedule
Timely evaluation of
assignments
F23 Mentoring and
counseling
F231
F232
F233
Number of students met
Time spent with each
student
Quality of outcome
F24 Administrative
Functions
F241
F242
Supportive role to HOD
(attendance monitoring,
upkeep of laboratories &
manuals, addition of
books to library,
departmental files,
timetables etc.)
Supportive role to
Principal (anti-ragging,
dress code, discipline,
industrial/educational
tours etc.)
F25 R&D functions
F251
F252
F253
F254
F255
Papers published in
international/National
journals
Participated in seminars
/symposia
Guidance of student
projects
Current research projects
and progress during the
period
F256
Seminars/symposia
organized as
convener/co-
coordinator/secretary
Current Published
Textbooks
Table 1(c) Assessment by Peers Parameters
Representation
of Fuzzy
Variables
Fuzzy Variables
F3 Assessment by Peers
F31 Provisional Qualities
F311
F312
F313
F314
F315
F316
F317
F318
F319
F31A
F31B
F31C
F31D
F31E
Breadth & depth of
knowledge of his/her
subject
Updating habits of subject
knowledge
Knowledge in related areas
Comprehension skills
Communication abilities
Oral
Written
Application to work
Lerner centered pedagogical
skills
Academic planning and
implementation
Preparation of class notes
Ability to guide student
project work
Administrative support
R&D functions
F32 Personal qualities
F321
F322
F323
F324
F325
F326
F327
F328
F329
Punctuality
Devotion of duty
Integrity
Capacity to work as a team
member
Interpersonal relations
Emotional balance
Intellectual honesty
Mentoring/Counseling
capability
Fairness in students'
evaluation
Table 1(d) Results and University Exams Parameters
Representation of
Fuzzy Variables
Fuzzy Variables
F4 Results and University
Exams
F41 Subject-1
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F411
F412
F413
F414
% Passes
% 1st Classes(>59%
<70% only)
% Distinctions(>69%
only)
%Class average marks
F42 Subject-2
F421
F422
F423
F424
% Passes
% 1st Classes(>59%
<70% only)
% Distinctions(>69%
only)
%Class average marks
F43 Subject-3
F431
F432
F433
F434
% Passes
% 1st Classes(>59%
<70% only)
% Distinctions(>69%
only)
%Class average marks
% Passes Calculation:
5- Excellent, if >90% pass
4-Very good, if >80% & <70% passes
3-Good, if >70% & <60% passes
2-Average, if >60% & <50% passes
1-Poor, if <50% pass
% 1st Classes (>59% <70% only) Calculation:
5- Excellent, if >60% & <70% 1st classes,
4-Very good, if >40% & < 60% 1st classes
3-Good, if >20% & < 40% 1st classes
2-Average, if >0% & < 20% 1st classes
1-Poor, if 0 % 1st class
% Distinctions (>69% only) Calculation:
5- Excellent, if >75% distinctions in class
strength,
4-Very good, if >55% & < 75% distinctions in
class strength
3-Good, if >35% & < 55% distinctions in class
strength
2-Average, if >0% & <35% distinctions in class
strength
1-Poor, if 0 % distinctions in class strength
%Class average marks Calculation:
5- Excellent, if >60% Class Average
4-Very good, if >55% & < 60% Class Average
3-Good, if > 45% & < 55% Class Average
2-Average, if >40% & < 45% Class Average
1-Poor, if, <40% Class Average
V. FUZZY EXPERT SYSTEM FOR
FACULTY PERFORMANCE
EVALUATION
Performance Evaluation of faculty with
Fuzzy Expert System comprised with three steps:
1. Identification of crisp value.
2. Fuzzification of input value.
3. Determination of application rules and inference
method.
4. Fuzzy output overall performance value and
Defuzzification of performance value.
1 Crisp Value (Data)
Teachers self-appraisal forms are filled in by
respective teachers on the above elements with sub
activity which then recommended by the Head of the
Department and head of the institution with due
verification. The Crisp data is tabulated from these
forms (Table 7).
2 Fuzzification (Fuzzy Input Value)
The input variables (elements/parameters)
are then divided into linguistic variables 5-
Excellent,4-Very good, 3-Good, 2-Average, and 1-
Poor. Membership functions are then formed
assigning the proper range to respective linguistic
variables. In this paper we have used the trapezoidal
membership function for converting the crisp set into
fuzzy set as in eqn. (1).
Feed Back from Students
Table 2. Student’s feedback
Year/Branch
/Section (1)
Subject
Taught
(2)
Student
Feedbac
k(3)
Overall
Student
Feedback
(%)(4)
B1 S1
F11
F1=Avg.
points of
Col. 3
F12
F13
F14
Range for linguistic variables of the Students
Feedback (F1) is shown in Table 3.
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Table 3. Students’ feedback in terms of linguistic
variables
Membership Function of the input variable Students
Feedback (F1) is shown in Fig. 3.
Fig. 3. Membership function of input variable F1
The remaining Membership Functions of the
input variables like Teacher Self Appraisal (F2),
Assessment by Peers (F3), and Results and
University Exams (F4) are calculated same as the
calculation of member function of F1. These results
are produced using Fuzzy tool in mat-lab.
3 Fuzzy Rule and Inference Mechanism
The rules determine input and output
membership functions that will be used in inference
process. These rules are linguistics and are entitled
“IF-THEN” rules. From the discussion with the
academic experts some rules are formulated from
their practical and past experiences. In this study
since the number of input variables are more, more
number of rules are framed to justify important
variables of the Results and University Exam and
the academic institute. Some of the rules for fuzzy
system as shown below:
1. If (SFB(F1) is Poor) and (TSA(F2) is Poor) and
(AP(F3) is Poor) and (RUE(F4) is Poor) then
(Assessment Results(O) is Poor)
2. If (SFB(F1) is Average) and (TSA(F2) is Poor)
and (AP(F3) is Poor) and (RUE(F4) is Poor) then
(Assessment Results(O) is Poor)
3. If (SFB(F1) is Very Good) and (TSA(F2) is
Poor) and (AP(F3) is Poor) and (RUE(F4) is
Poor) then (Assessment Results(O) is Poor)
4. If (SFB(F1) is Poor) and (TSA(F2) is Average)
and (AP(F3) is Average) and (RUE(F4) is
Average) then (Assessment Results(O) is
Average)
5. If (SFB(F1) is Very Good) and (TSA(F2) is
Average) and (AP(F3) is Average) and
(RUE(F4) is Average) then (Assessment
Results(O) is Average)
6. If (SFB(F1) is Average) and (TSA(F2) is
Average) and (AP(F3) is Average) and
(RUE(F4) is Average) then (Assessment
Results(O) is Average)
7. If (SFB(F1) is Very Good) and (TSA(F2) is
Average) and (AP(F3) is Average) and
(RUE(F4) is Average) then (Assessment
Results(O) is Average)
8. If (SFB(F1) is Good) and (TSA(F2) is Good) and
(AP(F3) is Good) and (RUE(F4) is Good) then
(Assessment Results(O) is Good)
9. If (SFB(F1) is Poor) and (TSA(F2) is Good) and
(AP(F3) is Good) and (RUE(F4) is Good) then
(Assessment Results(O) is Good)
10. If (SFB(F1) is Very Good) and (TSA(F2) is
Good) and (AP(F3) is Good) and (RUE(F4) is
Good) then (Assessment Results(O) is Good)
11. If (SFB(F1) is Excellent) and (TSA(F2) is Good)
and (AP(F3) is Good) and (RUE(F4) is Good)
then (Assessment Results(O) is Good)
12. If (SFB(F1) is Very Good) and (TSA(F2) is Very
Good) and (AP(F3) is Very Good) and
(RUE(F4) is Very Good) then (Assessment
Results(O) is Very Good)
13. If (SFB(F1) is Poor) and (TSA(F2) is Very
Good) and (AP(F3) is Very Good) and
(RUE(F4) is Very Good) then (Assessment
Results(O) is Very Good)
14. If (SFB(F1) is Good) and (TSA(F2) is Very
Good) and (AP(F3) is Very Good) and
(RUE(F4) is Very Good) then (Assessment
Results(O) is Very Good)
15. If (SFB(F1) is Excellent) and (TSA(F2) is Very
Good) and (AP(F3) is Very Good) and
(RUE(F4) is Very Good) then (Assessment
Results(O) is Very Good)
16. If (SFB(F1) is Excellent) and (TSA(F2) is
Excellent) and (AP(F3) is Excellent) and
(RUE(F4) is Excellent) then (Assessment
Results(O) is Excellent)
17. If (SFB(F1) is Very Good) and (TSA(F2) is
Excellent) and (AP(F3) is Excellent) and
(RUE(F4) is Excellent) then (Assessment
Results(O) is Excellent)
18. If (SFB(F1) is Average) and (TSA(F2) is
Excellent) and (AP(F3) is Excellent) and
(RUE(F4) is Excellent) then (Assessment
Results(O) is Very Good)
19. If (SFB(F1) is Poor) and (TSA(F2) is Very
Good) and (AP(F3) is Very Good) and
(RUE(F4) is Poor) then (Assessment Results(O)
is Poor)
Student
Feedba
ck
Po
or
Avg
Go
od
V.Go
od
Exc
elle
nt
F1
[1
1.2
6
1.6
26
2]
[1.5
2.08
2.46
3
2.8]
[2.
3
2.8
3.2
3.5
]
[3
3.596
4.01
4.3]
[3.8
4.46
4.9
5]
8. Ms. G. Jyothi et al Int. Journal of Engineering Research and Applications www.ijera.com
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20. If (SFB(F1) is Average) and (TSA(F2) is Poor)
and (AP(F3) is Poor) and (RUE(F4) is Average)
then (Assessment Results(O) is Average)
21. If (SFB(F1) is Average) and (TSA(F2) is Good)
and (AP(F3) is Good) and (RUE(F4) is Good)
then (Assessment Results(O) is Good)
22. If (SFB(F1) is Very Good) and (TSA(F2) is
Average) and (AP(F3) is Average) and
(RUE(F4) is Excellent) then (Assessment
Results(O) is Good)
23. If (SFB(F1) is Very Good) and (TSA(F2) is
Poor) and (AP(F3) is Poor) and (RUE(F4) is
Excellent) then (Assessment Results(O) is Good)
24. If (SFB(F1) is Excellent) and (TSA(F2) is Very
Good) and (AP(F3) is Very Good) and
(RUE(F4) is Good) then (Assessment Results(O)
is Very Good)
25. If (SFB(F1) is Excellent) and (TSA(F2) is
Average) and (AP(F3) is Good) and (RUE(F4) is
Excellent) then (Assessment Results(O) is Very
Good)
F1= Student Feedback(SFB).
F2=Teachers Self Appraisal(TSA)
F3= Assessment by Peers (AP)
F4= Results and University Exam (RUE)
O= Assessment Results(AR)
4 Fuzzy Output and Defuzzification
The output variable is the overall
performance of the teacher, which has five linguistic
Variables. The degree of membership functions is
given by equation (2).
This expression determines an output
membership function value for each active rule.
When one rule is active, an AND operation is applied
between inputs. The fuzzy linguistic variables of
output variable are shown in Table 4.
Table 4. Teachers’ Overall Performance in terms of
Linguistic Variable
Faculty’s
Overall
Perfor
mance
Po
or
Ave
rage
Go
od
Ve
ry
Go
od
Exce
llent
O
[1
1.4
1
1.7
9
2.1
]
[1.6
2.24
2.66
2.7]
[2.
3
2.9
44
3.3
7
3.4
]
[3
3.7
7
4.1
4.2
]
[3.8
4.48
4.86
5]
Membership Function of the output variable Overall
Performance of a Faculty (O) is shown in Fig. 4
Fig. 4. Membership function of teachers overall
performance
Calculation of Performance Value:
After completing the fuzzy decision process,
the fuzzy number obtained must be converted to a
crisp value. This process is known as Defuzzification.
In this paper, a centre gravity of area technique was
applied is called Centroid technique, which is one of
the most common methods for converting from fuzzy
number to crisp values [15]. The centroid
defuzzification technique can be expressed for the
calculation of crisp value:
x*= (3)
where x*
is the defuzzified output, µi(x) is the
aggregated membership function and x is the output
variable. Using this method the observation results
was computationally easier and got accurate results.
Rule viewer of the proposed fuzzy expert
system for the evaluation of overall faculty’s
performance is shown in Fig. 5.
Fig. 5. Rule Viewer of fuzzy expert system
Surface viewer of proposed fizzy expert
system for academic performance evaluation is
shown in Fig. 6.
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Fig. 6. Surface Viewer of Fuzzy Expert System
VI. RESULTS AND DISCUSSIONS
Experiments are carried out using Mat-lab
fuzzy toolbox on Windows XP platform.
The proposed Fuzzy Export model was
studied and tested with 50 faculties data obtained in
the year 2013 from repudiated engineering college,
Vignan’s Institute of Information Technology,
Visakhapatnam. Table 5 shows the 10 faculty’s data
of both the traditional and fuzzy score. From the
input data the output variable overall performance of
teacher is determined by traditional method (based on
statistical averaging method) and also by using the
fuzzy model developed in the study. Last two
columns of Table 5 shows the values of teachers
overall performance by traditional method and Fuzzy
Expert System respectively.
Table 5. Teachers overall performance (crisp and
fuzzy)
S.
No
.
Input Variables(F)
Output (O)
F1
SFB
F2
TSA
F3
AP
F4
RUE
Tradi
tional
Fuzzy
01 4 4 2 5 3.75 4.06
3
02 4 5 5 5 4.75 4.78
03 5 5 1 4 3.75 4.46
04 4 5 2 5 4 4.37
05 5 3 1 4 3.25 3.92
06 5 4 1 5 3.75 4.46
07 3 4 3 4 3.5 3.57
08 1 3 3 5 3 3.66
09 2 4 3 3 3 3.16
10 4 5 5 3 4.25 4.41
We observed the difference in the direct
value and the values determined by using fuzzy
model. Using traditional method in 5th
record has the
value 3.25 i.e. 3 indicates the grade as good, but in
the case of fuzzy is 3.92 i.e 4 graded as very good. So
the overall performance of a faculty determined by
fuzzy model is more realistic than the direct values.
VII. CONCLUSIONS
Teachers’ regular assessment is suggested to
maintain quality in higher education. There is a vast
potential of the applications of fuzzy expert system in
teachers’ assessment. Expert system technology
using Fuzzy Logic is very interesting for quantitative
and qualitative facts evaluation. In this paper a model
of Fuzzy Expert System is proposed to evaluate
teachers overall performance on the basis of various
related activities. The qualitative variables are
mapped into numeric results by implementing the
fuzzy expert system model through various input
examples and provided a basis to use the system for
further decision making. In this way the teaching
staff is encouraged to reflect on quality, adequacy,
satisfaction, efficiency and innovation in teaching in
the technical academic institutions.
ACKNOWLEDGEMENTS
I thank to my management of Vignan’s
Institute of Information Technology one of the
reputed Engineering College located in
Visakhapatnam, Andhra Pradesh, India for providing
the data to develop the model of evaluation of
teachers overall performance.
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