This document describes best practices in technical education used at Mount Zion College of Engineering & Technology. It discusses how the college uses Bloom's revised taxonomy as a framework to develop specific, measurable learning objectives aligned with cognitive levels and knowledge dimensions. Teachers create lesson plans and learning activities mapped to the taxonomy to systematically facilitate student learning. Assessment is also designed based on the taxonomy to evaluate if students achieved the objectives. The methods section provides an example mapping of an objective, activities, and assessment to the taxonomy table to illustrate how it ensures proper alignment of the educational components.
Through Modular Training Increasing the Efficiency of Educationijtsrd
Professional development through modular training in the article the masses of the wider use of its possibilities to make education more effective are described and appropriate conclusions are made, recommendations are given. G. H. Nigmatova "Through Modular Training Increasing the Efficiency of Education" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Scientific Research and Development, Case of Asia , October 2020, URL: https://www.ijtsrd.com/papers/ijtsrd35794.pdf Paper Url :https://www.ijtsrd.com/humanities-and-the-arts/education/35794/through-modular-training-increasing-the-efficiency-of-education/g-h-nigmatova
This was a field research (literature review and exploration) with descriptive quantitative approach. This study aims: (1) to develop a model (scheme) to assess mathematical power, (2) to test the validity of instruments of mathematical power assessment, and (3) to developa valid and reliable test and non-test instrument prototypes as a mathematical power measurement. The research instruments consist of 4 items of essay test, 20 sheets of observation on investigative activities, and 20 items of questionnaires. Validity test was conducted through constructions built up from 3 aspects of mathematical power ability. Result of instrument analysis showed that: (1) the r of instrument test = 0.947, meaning that the instrument is reliable, (2) the r of activity observation sheets = 0.912, meaning that the instrument is reliable, and (3) the r of questionnaires = 0.770, meaning that the questionnaire is reliable on 0.05 significance level. This study concludes: (a) the steps in the model (scheme) of mathematical power assessment may be used as a reference for assessing mathematical power, (b) test and non-test instruments are valid and reliable, and (c) prototypes of test and non-test instruments may be used as a measurement in mathematical power assessment.
Student's Patterns of Interaction with a Mathematics Intelligent Tutor: Learn...IJITE
Purpose: The purpose of this paper is to determine potential identifiers of students’ academic success in foundation mathematics course by analyzing the data logs of an intelligent tutor.
Design/ methodology/approach: A cross-sectional study design was used. A sample of 58 records was extracted from the data-logs of the intelligent tutor, ALEKS. This data was triangulated with the data collected from surveys. Two-step clustering, correlation and regression analysis, Chi-square analysis and paired sample t-tests were applied to address the research questions.
Findings: The data-logs of ALEKS include information about number of topics practiced and number of topics mastered by each student. Prior knowledge and derived attribute, which is the ratio of number of topics mastered to number of topics practiced(denoted by the variable m top in this paper) are found to be predictors of final marks in the foundation mathematics course with = 42%.
Students were asked to report their preferred way of selecting topics as either sequential or random. Results of paired sample t-test demonstrated that the students who selected topics in a sequential manner were able to retain their mastery of learning after the summative assessment whereas the students who chose topics randomly were not able to retain their mastery of learning.
Originality and value: This research has established three indicators of academic success in the course of foundation mathematics which is delivered using the intelligent tutor ALEKS. Instructors can monitor students’ progress and detect students at-risk who are not able to attain desired pace of learning and guide them to choose the correct sequence of topics.
It is unrealistic to expect students to have future literacy about science, information, and technology if their education includes only facts and concepts relevant during the school years. While life presents situations that cannot be solved by learned responses, the metacognitive strategy is brought into play. Metacognitive skills are needed when habitual responses are not successful. Metacognitive skills will enable students to successfully cope with new situations. The main purpose of this paper is to propose a practical model of implementing strategies to increase students’ ability to comprehend texts and find solutions to word problems based on the theories and empirical background of metacognition. In addition, the distinction between metacognition and cognition and explicit instruction on the learning strategies to develop students metacognitive skills were discussed. It concludes that teachers can raise the level of metacognitive thought in their classrooms by modeling the processes. The use of metacognitive strategies will enable students to be independent and strategic learners.
This research aimed to produce a learning trajectory which could help students to understand the concept of permutations through role-playing activity in the election of chairman and vice-chairman of Intra School Students Organization. This research was a design research method through three stage, 1) preliminary design/preparing for the experiment were used to design the Hypothetical Learning Trajectory, 2) design experiment was a Hypothetical Learning Trajectory test phase consisting of pilot and teaching experiment, 3) retrospective analysis. It was Indonesia’s Realistic Mathematics Education Approach at tenth grade of Senior High School No 15 Palembang. Data collecting technique were obtained from observations, recorded videos, photos, students’ sheet activities, and field documentation. The result of this research was a learning trajectory which has three activities that could help student to understand the concept of permutations, there are: 1) the students could determine the form of administrative committee and calculate the number of formed groups formation in the election from 2, 3, 4 and 5 nominated candidates, 2) Students could determine the number of groups’ formation convert into the closest form of the multiplication and the factorial, 3) by using the students understanding of factorial, students found the concept of permutations form: nPr
Through Modular Training Increasing the Efficiency of Educationijtsrd
Professional development through modular training in the article the masses of the wider use of its possibilities to make education more effective are described and appropriate conclusions are made, recommendations are given. G. H. Nigmatova "Through Modular Training Increasing the Efficiency of Education" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Scientific Research and Development, Case of Asia , October 2020, URL: https://www.ijtsrd.com/papers/ijtsrd35794.pdf Paper Url :https://www.ijtsrd.com/humanities-and-the-arts/education/35794/through-modular-training-increasing-the-efficiency-of-education/g-h-nigmatova
This was a field research (literature review and exploration) with descriptive quantitative approach. This study aims: (1) to develop a model (scheme) to assess mathematical power, (2) to test the validity of instruments of mathematical power assessment, and (3) to developa valid and reliable test and non-test instrument prototypes as a mathematical power measurement. The research instruments consist of 4 items of essay test, 20 sheets of observation on investigative activities, and 20 items of questionnaires. Validity test was conducted through constructions built up from 3 aspects of mathematical power ability. Result of instrument analysis showed that: (1) the r of instrument test = 0.947, meaning that the instrument is reliable, (2) the r of activity observation sheets = 0.912, meaning that the instrument is reliable, and (3) the r of questionnaires = 0.770, meaning that the questionnaire is reliable on 0.05 significance level. This study concludes: (a) the steps in the model (scheme) of mathematical power assessment may be used as a reference for assessing mathematical power, (b) test and non-test instruments are valid and reliable, and (c) prototypes of test and non-test instruments may be used as a measurement in mathematical power assessment.
Student's Patterns of Interaction with a Mathematics Intelligent Tutor: Learn...IJITE
Purpose: The purpose of this paper is to determine potential identifiers of students’ academic success in foundation mathematics course by analyzing the data logs of an intelligent tutor.
Design/ methodology/approach: A cross-sectional study design was used. A sample of 58 records was extracted from the data-logs of the intelligent tutor, ALEKS. This data was triangulated with the data collected from surveys. Two-step clustering, correlation and regression analysis, Chi-square analysis and paired sample t-tests were applied to address the research questions.
Findings: The data-logs of ALEKS include information about number of topics practiced and number of topics mastered by each student. Prior knowledge and derived attribute, which is the ratio of number of topics mastered to number of topics practiced(denoted by the variable m top in this paper) are found to be predictors of final marks in the foundation mathematics course with = 42%.
Students were asked to report their preferred way of selecting topics as either sequential or random. Results of paired sample t-test demonstrated that the students who selected topics in a sequential manner were able to retain their mastery of learning after the summative assessment whereas the students who chose topics randomly were not able to retain their mastery of learning.
Originality and value: This research has established three indicators of academic success in the course of foundation mathematics which is delivered using the intelligent tutor ALEKS. Instructors can monitor students’ progress and detect students at-risk who are not able to attain desired pace of learning and guide them to choose the correct sequence of topics.
It is unrealistic to expect students to have future literacy about science, information, and technology if their education includes only facts and concepts relevant during the school years. While life presents situations that cannot be solved by learned responses, the metacognitive strategy is brought into play. Metacognitive skills are needed when habitual responses are not successful. Metacognitive skills will enable students to successfully cope with new situations. The main purpose of this paper is to propose a practical model of implementing strategies to increase students’ ability to comprehend texts and find solutions to word problems based on the theories and empirical background of metacognition. In addition, the distinction between metacognition and cognition and explicit instruction on the learning strategies to develop students metacognitive skills were discussed. It concludes that teachers can raise the level of metacognitive thought in their classrooms by modeling the processes. The use of metacognitive strategies will enable students to be independent and strategic learners.
This research aimed to produce a learning trajectory which could help students to understand the concept of permutations through role-playing activity in the election of chairman and vice-chairman of Intra School Students Organization. This research was a design research method through three stage, 1) preliminary design/preparing for the experiment were used to design the Hypothetical Learning Trajectory, 2) design experiment was a Hypothetical Learning Trajectory test phase consisting of pilot and teaching experiment, 3) retrospective analysis. It was Indonesia’s Realistic Mathematics Education Approach at tenth grade of Senior High School No 15 Palembang. Data collecting technique were obtained from observations, recorded videos, photos, students’ sheet activities, and field documentation. The result of this research was a learning trajectory which has three activities that could help student to understand the concept of permutations, there are: 1) the students could determine the form of administrative committee and calculate the number of formed groups formation in the election from 2, 3, 4 and 5 nominated candidates, 2) Students could determine the number of groups’ formation convert into the closest form of the multiplication and the factorial, 3) by using the students understanding of factorial, students found the concept of permutations form: nPr
Construct maps are important tools in educational assessment and can serve multiple purposes related to development and validation, as well as score interpretation and use. This chapter outlines a process for developing a construct map from the qualitative ordering of teachers’ responses to open-ended assessment items. The construct of interest pertains to a teacher’s ability to attend to what students say and do, which is a key component of many recommendations for instructional practice within mathematics education. The instrument we are developing is designed to measure teachers’ attentiveness to student thinking in quantitative reasoning problem situations. A key aspect of our instrument development process is the development of a construct map that hierarchically orders qualitatively different levels of teacher attentiveness. In this chapter we describe our process for developing the construct map with the intent of providing an example to others who may be interested in engaging in the development of construct maps.
Pedagogical Approaches and Techniques of Non-Education Graduates Teaching Gen...IJAEMSJORNAL
Pedagogical approaches and techniques are common among teachers, but some are more effective and appropriate than others. The study is focused on identifying the basic pedagogical approaches and techniques of Senior High School non-education graduate teachers (SHSNEGT) teaching General Mathematics using the purposive sampling method, the main respondents of the study are 12 SHSNEGT and two experts per school in Aliaga District, Municipality of Aliaga in Nueva Ecija. With the use of concurrent mixed-method research design and data statistical analysis, the results show that teacher-respondents whose age ranges from 25 to 38 are categorized as "young adults and professionals" and 83.33% are female with two years teaching experience in SHS, having BS Degree and specialization related in business courses as well as in their previous work. Using logical/matrix and inductive analysis and weighted mean, the subject matter-centered approach has weighted mean3.92 and the teacher-centered approach has 3.31 mean and considered dominant and "significantly evident" in teaching General Mathematics. With regards to pedagogical techniques applied by the teachers using weighted mean, "setting of objectives" has the highest weighted mean of 3.44, lesson development has 3.39, application 3.36, evaluation 3.35 and materials being used have 3.28. All items with a verbal description of “outstanding". They set their objectives based on learning competencies with three domains of learning, using board, with motivational activity on lesson development and board-work, group activity, problem sets, and quiz as a means of evaluation. Using ANOVA test analysis, previous work has significant differences in the pedagogical approaches(F=10.667, sig = .004) but there are no significant differences in terms of techniques (F=.510, sig=.65). The majority of the teachers are challenged about the attitude and behavior of the students towards learning. To develop productive notions of teaching, teachers must think of appropriate pedagogical approaches and techniques for every topic/lesson.
Purpose: This study aims to identify the problem solving abilities possessed by junior high school students. The type of research used is quantitative which uses a research design survey. The sample of this study is 98 students taken based on purposive sampling techniques. This study uses descriptive statistics to analyze the data generated. From the results of the analysis that has been done, it was found that there is a problem solving indicator by students in mathematics which is a indicated by the indicators of planning a solution which has a good category of a 56.1% (55 of 98) students, the indicator of problem solving has a good category of a 56.1% (55 out of 98) students, indicators of a problem solving planning had a good category of a 54.1% (53 of 98) students, and an indicator of understanding a problem had a good category of a 60.2% (59 of 98) students.
This research is aimed at finding out: 1) the influence of discovery learning model with RME approach on Mathematics learning achievement; 2) the influence of interpersonal intelligence on Mathematics learning achievement; 3) the interaction between discovery learning model with RME approach and interpersonal intelligence on Mathematics learning achievement. The research was conducted at one of the state Elementary Schools in Banjarsari sub-district, Surakarta. The method used in this research was quasiexperimental method with 2x3 factorial design. Hypothesis test was done by two-way variance ANOVA test with different cells. It can be concluded that the discovery learning model with RME approach gives better influence on the Mathematics learning achievement than the direct learning model. Students having high interpersonal intelligence category get better Mathematics learning achievement than those having medium and low category. The students having medium interpersonal intelligence get better Mathematics achievement than those having low category. There is no interaction between learning model and interpersonal intelligence on Mathematics learning achievement.
This study aimed to describe the process of thinking by prospective teachers of mathematics in making arguments. It was a qualitative research involving the mathematics students of STKIP PGRI Jombang as the subject of the study. Test and task-based semi structural interview were conducted for data collection. The result showed that 163 of 260 mathematics students argued using inductive and deductive warrants. The process of thinking by the prospective teachers of mathematics in making arguments had begun since they constructed their very first idea by figuring out some objects to make a conclusion. However, they also found a rebuttal from that conclusion, though they did not further describe what such rebuttal was. Therefore, they decided to construct the second ideas in order to verify the first ones through some pieces of definition.
INTERPRETING PHYSICS TEACHERS’ FEEDBACK COMMENTS ON STUDENTS’ SOLUTIOijejournal
This paper investigates teachers’ intentions, when providing their feedback comments to hypothetical
students’ written solutions to linear motion tasks. To obtain an in-depth understanding of the teachers’
thinking when responding to student written solutions, a qualitative case study approach was employed
using two different data sources: a Problem Centred Questionnaire (PCQ) and a Problem Centred
Interview (PCI). Data processing was conducted in two main phases: Initial and Comparative. In both
phases we explored patterns about teachers’ foci across student strategies and motion tasks. A main finding
of this research is to categorising teachers’ interpretations and feedback on student solutions, based on the
extent of teachers’ attentions to Student Thinking and Disciplinary Thinking. This analysis approach
refines the previously held view that a high level of teacher content knowledge, and a concurrent focus to
both ‘student thinking’ and ‘disciplinary thinking’ are required to provide meaningful feedback on student
solutions. The findings indicated that their level of teachers’ propositional
Critical thinking of students is needed in 21st century learning, the fact is the acquisition in the field is still low. Therefore this study aims to improve students' critical thinking skills using the inquiry model assisted with the ethnoconstructivism module. Methodology uses a quantitative design of a quasi-experimental pretest-posttest non-equivalent control group design with a total sample of 64 students taken by purposive sampling technique. There were significant differences in terms of students' critical thinking between the control class and the experimental class. It can be underlined that the inquiry model with ethnoconstructivism has a significant influence on the way students think about cultural values compared to traditional groups.
It is necessary to develop metacognitive skills-based teaching materials to foster mathematical problem-solving abilities. This research is a research and development. Method used for development using four phases: Design, Construction, Testing, Evaluation and Revision. The criteria used to assess the quality of the learning device refer to the material quality criteria namely: validity, practicality, effectiveness. Subject of trials in this research are 25 students of XI IPA-4 and 25 students of XI IPA-2. Two indicators of this study are metacognitive skills and problem solving. Metacognitive skills are: prediction skills, planning skills, monitoring skills, and evaluation skills. Indicators of problem solving are: understanding the problem, devising a plan, carrying out the plan, and looking back. The data are collected by giving Tests and questionnaires, and through observations. The research instruments are: questionnaire of validation for teaching materials, student questionnaire responses to instructional materials, observation sheet activities of learners, observation sheets of learning implementation and learning management observation sheet. The result of this research is metacognitive skills-based teaching materials are succeeded (fulfilling the criteria of valid, practical, and effective) to emerge students mathematical problem-solving.
This research aimed to find out the difference of cognitive learning achievement between students taught with Concept Attainment Model and those taught with Discovery Learning model. This study was a quasiexperimental research. The population of research was the 12th Science graders of SMAN 1 Karas of Magetan Regency in school year of 2016/2017. The sample was taken using cluster random sampling technique, consisting of two grades: the 12th Science 4 grade as the first experiment class using Concept Attainment Model and the 12th Science 3 grade as the second experiment class using Discovery Learning model. Technique of collecting data used was t-test technique for data of students’ cognitive learning outcome. Data analysis was carried out using unpaired two-sample variance analysis. The result of research showed there was a difference of cognitive learning outcome between the students treated with learning using Concept Attainment Model and those treated with learning using Discovery Learning. The cognitive learning achievement of students taught with Concept Attainment Model was higher than that of those taught with Discovery Learning.
This study aims to produce a learning trajectory using the mathematical modeling in helping students to understand the concept of algebraic operations. Therefore, the design research was chosen to meet the research aims and to give in formulating and developing local instructional theory in learning algebraic operations.Learning trajectory designed in the early phases and tested on 34 seven-grade students in SMP N 10 Palembang. Data collection was conducted through observation by recording the learning process that occured in the classroom and students’ group work was evidenced by video and photos. Data was analyzed qualitatively by describing actual learning which happened in pilot experiment and teaching experiment. There are 3 learning activities in the design of this study. These 3 activities are designed based on the steps of the Mathematical Modeling, activity 1 meaning of algebraic expressions, activity 2 addition of algebraic and activity 3 subtraction of algebraic. Based on the result, it can be concluded that activity which has been designed can help the students in learning algebraic operations using mathematical modeling. Used mathematical modeling can help student solve the problems and understand concept are structured using the assumptions and model start they design so gradually developed into formal mathematics.
This study aims to develop the teacher's perceptions of critical thinking in science learning in elementary schools. The samples in this study were 50 elementary school teachers in Central Java. Selection of samples employed convenience sampling. The instruments in this study used a modified Likert Scale. The validity tests used in this research were content validity and construct validity. Content validity was measured using CVR (Content Validity Ratio) and construct validity was measured using EFA (Exploratory Factor Analysis). By using SPSS, reliability estimation was obtained with the Cronbach Alpha formula 0.83 and it can be stated that the instruments for evaluating teacher perceptions of critical thinking in science learning are reliable.
Doukas School participates in several EU and National R&D projects and coordinates extensive European Networks under programmes such as Horizon 2020, Erasmus+, Lifelong Learning Programme, Intelligent Energy Europe, EPEAEK, PAVE, LINGUA.
For further information about Doukas School Projects please visit:
http://bit.ly/Doukas_R-D_leaflet & http://www.en.doukas.gr/randd
In the context of research projects, Doukas School teachers and experts cooperate in order to express the user-needs of the school pupils or school educators. They also provide valuable feedback for the design of educational services, activities, software/applications etc. During the testing and validation stage, students and teachers in Doukas School evaluate the demonstrator, in order to provide feedback form the side of the actual end-user. Finally, the school participates actively in dissemination and quality assurance activities.
Construct maps are important tools in educational assessment and can serve multiple purposes related to development and validation, as well as score interpretation and use. This chapter outlines a process for developing a construct map from the qualitative ordering of teachers’ responses to open-ended assessment items. The construct of interest pertains to a teacher’s ability to attend to what students say and do, which is a key component of many recommendations for instructional practice within mathematics education. The instrument we are developing is designed to measure teachers’ attentiveness to student thinking in quantitative reasoning problem situations. A key aspect of our instrument development process is the development of a construct map that hierarchically orders qualitatively different levels of teacher attentiveness. In this chapter we describe our process for developing the construct map with the intent of providing an example to others who may be interested in engaging in the development of construct maps.
Pedagogical Approaches and Techniques of Non-Education Graduates Teaching Gen...IJAEMSJORNAL
Pedagogical approaches and techniques are common among teachers, but some are more effective and appropriate than others. The study is focused on identifying the basic pedagogical approaches and techniques of Senior High School non-education graduate teachers (SHSNEGT) teaching General Mathematics using the purposive sampling method, the main respondents of the study are 12 SHSNEGT and two experts per school in Aliaga District, Municipality of Aliaga in Nueva Ecija. With the use of concurrent mixed-method research design and data statistical analysis, the results show that teacher-respondents whose age ranges from 25 to 38 are categorized as "young adults and professionals" and 83.33% are female with two years teaching experience in SHS, having BS Degree and specialization related in business courses as well as in their previous work. Using logical/matrix and inductive analysis and weighted mean, the subject matter-centered approach has weighted mean3.92 and the teacher-centered approach has 3.31 mean and considered dominant and "significantly evident" in teaching General Mathematics. With regards to pedagogical techniques applied by the teachers using weighted mean, "setting of objectives" has the highest weighted mean of 3.44, lesson development has 3.39, application 3.36, evaluation 3.35 and materials being used have 3.28. All items with a verbal description of “outstanding". They set their objectives based on learning competencies with three domains of learning, using board, with motivational activity on lesson development and board-work, group activity, problem sets, and quiz as a means of evaluation. Using ANOVA test analysis, previous work has significant differences in the pedagogical approaches(F=10.667, sig = .004) but there are no significant differences in terms of techniques (F=.510, sig=.65). The majority of the teachers are challenged about the attitude and behavior of the students towards learning. To develop productive notions of teaching, teachers must think of appropriate pedagogical approaches and techniques for every topic/lesson.
Purpose: This study aims to identify the problem solving abilities possessed by junior high school students. The type of research used is quantitative which uses a research design survey. The sample of this study is 98 students taken based on purposive sampling techniques. This study uses descriptive statistics to analyze the data generated. From the results of the analysis that has been done, it was found that there is a problem solving indicator by students in mathematics which is a indicated by the indicators of planning a solution which has a good category of a 56.1% (55 of 98) students, the indicator of problem solving has a good category of a 56.1% (55 out of 98) students, indicators of a problem solving planning had a good category of a 54.1% (53 of 98) students, and an indicator of understanding a problem had a good category of a 60.2% (59 of 98) students.
This research is aimed at finding out: 1) the influence of discovery learning model with RME approach on Mathematics learning achievement; 2) the influence of interpersonal intelligence on Mathematics learning achievement; 3) the interaction between discovery learning model with RME approach and interpersonal intelligence on Mathematics learning achievement. The research was conducted at one of the state Elementary Schools in Banjarsari sub-district, Surakarta. The method used in this research was quasiexperimental method with 2x3 factorial design. Hypothesis test was done by two-way variance ANOVA test with different cells. It can be concluded that the discovery learning model with RME approach gives better influence on the Mathematics learning achievement than the direct learning model. Students having high interpersonal intelligence category get better Mathematics learning achievement than those having medium and low category. The students having medium interpersonal intelligence get better Mathematics achievement than those having low category. There is no interaction between learning model and interpersonal intelligence on Mathematics learning achievement.
This study aimed to describe the process of thinking by prospective teachers of mathematics in making arguments. It was a qualitative research involving the mathematics students of STKIP PGRI Jombang as the subject of the study. Test and task-based semi structural interview were conducted for data collection. The result showed that 163 of 260 mathematics students argued using inductive and deductive warrants. The process of thinking by the prospective teachers of mathematics in making arguments had begun since they constructed their very first idea by figuring out some objects to make a conclusion. However, they also found a rebuttal from that conclusion, though they did not further describe what such rebuttal was. Therefore, they decided to construct the second ideas in order to verify the first ones through some pieces of definition.
INTERPRETING PHYSICS TEACHERS’ FEEDBACK COMMENTS ON STUDENTS’ SOLUTIOijejournal
This paper investigates teachers’ intentions, when providing their feedback comments to hypothetical
students’ written solutions to linear motion tasks. To obtain an in-depth understanding of the teachers’
thinking when responding to student written solutions, a qualitative case study approach was employed
using two different data sources: a Problem Centred Questionnaire (PCQ) and a Problem Centred
Interview (PCI). Data processing was conducted in two main phases: Initial and Comparative. In both
phases we explored patterns about teachers’ foci across student strategies and motion tasks. A main finding
of this research is to categorising teachers’ interpretations and feedback on student solutions, based on the
extent of teachers’ attentions to Student Thinking and Disciplinary Thinking. This analysis approach
refines the previously held view that a high level of teacher content knowledge, and a concurrent focus to
both ‘student thinking’ and ‘disciplinary thinking’ are required to provide meaningful feedback on student
solutions. The findings indicated that their level of teachers’ propositional
Critical thinking of students is needed in 21st century learning, the fact is the acquisition in the field is still low. Therefore this study aims to improve students' critical thinking skills using the inquiry model assisted with the ethnoconstructivism module. Methodology uses a quantitative design of a quasi-experimental pretest-posttest non-equivalent control group design with a total sample of 64 students taken by purposive sampling technique. There were significant differences in terms of students' critical thinking between the control class and the experimental class. It can be underlined that the inquiry model with ethnoconstructivism has a significant influence on the way students think about cultural values compared to traditional groups.
It is necessary to develop metacognitive skills-based teaching materials to foster mathematical problem-solving abilities. This research is a research and development. Method used for development using four phases: Design, Construction, Testing, Evaluation and Revision. The criteria used to assess the quality of the learning device refer to the material quality criteria namely: validity, practicality, effectiveness. Subject of trials in this research are 25 students of XI IPA-4 and 25 students of XI IPA-2. Two indicators of this study are metacognitive skills and problem solving. Metacognitive skills are: prediction skills, planning skills, monitoring skills, and evaluation skills. Indicators of problem solving are: understanding the problem, devising a plan, carrying out the plan, and looking back. The data are collected by giving Tests and questionnaires, and through observations. The research instruments are: questionnaire of validation for teaching materials, student questionnaire responses to instructional materials, observation sheet activities of learners, observation sheets of learning implementation and learning management observation sheet. The result of this research is metacognitive skills-based teaching materials are succeeded (fulfilling the criteria of valid, practical, and effective) to emerge students mathematical problem-solving.
This research aimed to find out the difference of cognitive learning achievement between students taught with Concept Attainment Model and those taught with Discovery Learning model. This study was a quasiexperimental research. The population of research was the 12th Science graders of SMAN 1 Karas of Magetan Regency in school year of 2016/2017. The sample was taken using cluster random sampling technique, consisting of two grades: the 12th Science 4 grade as the first experiment class using Concept Attainment Model and the 12th Science 3 grade as the second experiment class using Discovery Learning model. Technique of collecting data used was t-test technique for data of students’ cognitive learning outcome. Data analysis was carried out using unpaired two-sample variance analysis. The result of research showed there was a difference of cognitive learning outcome between the students treated with learning using Concept Attainment Model and those treated with learning using Discovery Learning. The cognitive learning achievement of students taught with Concept Attainment Model was higher than that of those taught with Discovery Learning.
This study aims to produce a learning trajectory using the mathematical modeling in helping students to understand the concept of algebraic operations. Therefore, the design research was chosen to meet the research aims and to give in formulating and developing local instructional theory in learning algebraic operations.Learning trajectory designed in the early phases and tested on 34 seven-grade students in SMP N 10 Palembang. Data collection was conducted through observation by recording the learning process that occured in the classroom and students’ group work was evidenced by video and photos. Data was analyzed qualitatively by describing actual learning which happened in pilot experiment and teaching experiment. There are 3 learning activities in the design of this study. These 3 activities are designed based on the steps of the Mathematical Modeling, activity 1 meaning of algebraic expressions, activity 2 addition of algebraic and activity 3 subtraction of algebraic. Based on the result, it can be concluded that activity which has been designed can help the students in learning algebraic operations using mathematical modeling. Used mathematical modeling can help student solve the problems and understand concept are structured using the assumptions and model start they design so gradually developed into formal mathematics.
This study aims to develop the teacher's perceptions of critical thinking in science learning in elementary schools. The samples in this study were 50 elementary school teachers in Central Java. Selection of samples employed convenience sampling. The instruments in this study used a modified Likert Scale. The validity tests used in this research were content validity and construct validity. Content validity was measured using CVR (Content Validity Ratio) and construct validity was measured using EFA (Exploratory Factor Analysis). By using SPSS, reliability estimation was obtained with the Cronbach Alpha formula 0.83 and it can be stated that the instruments for evaluating teacher perceptions of critical thinking in science learning are reliable.
Doukas School participates in several EU and National R&D projects and coordinates extensive European Networks under programmes such as Horizon 2020, Erasmus+, Lifelong Learning Programme, Intelligent Energy Europe, EPEAEK, PAVE, LINGUA.
For further information about Doukas School Projects please visit:
http://bit.ly/Doukas_R-D_leaflet & http://www.en.doukas.gr/randd
In the context of research projects, Doukas School teachers and experts cooperate in order to express the user-needs of the school pupils or school educators. They also provide valuable feedback for the design of educational services, activities, software/applications etc. During the testing and validation stage, students and teachers in Doukas School evaluate the demonstrator, in order to provide feedback form the side of the actual end-user. Finally, the school participates actively in dissemination and quality assurance activities.
Ordonnance n° 2017-49 du 19 janvier 2017 relative aux avantages offerts par l...Market iT
Ordonnance n° 2017-49 du 19 janvier 2017 relative aux avantages offerts par les personnes fabriquant ou commercialisant des produits ou des prestations de santé
Applying language learning theories to the use of virtual classroom in teaching literature –a pilot study
John Dewey, Jean Piaget, and Audrey Gray are some of the proponents of Constructivism. Constructivism represents a paradigm shift from education based on behaviourism to education based on cognitive theory. Behaviourist model for instructional design develops a set of instructional sequences having predefined outputs which are used for subject development. Cognitive theory concentrates on the conceptualization of students’ learning processes and exploration of the way information is received, organized, retained and used by the brain (Thompson et al, 1996).
Gagnon and Collay (1999) state that in constructivist paradigm, knowledge is constructed by learners during (1) active learning, (2) making their own representation of action, (3) conveying meaning to others, and (4) explaining things they don‘t understand completely. At the minimum, a learning environment contains: the student and a setting or space wherein the student acts, uses tools and devices, collects and interprets information, interacts with others, etc. (Wilson, 1996)
According to constructivists, knowledge is not received from the outside or from someone else; it is the individual student’s interpretation and processing of what is received through the senses that creates knowledge. Students should be allowed to construct knowledge rather than being given knowledge through instruction (Duffy & Cunningham, 1996).
Semantically Enchanced Personalised Adaptive E-Learning for General and Dysle...Eswar Publications
E-learning plays an important role in providing required and well formed knowledge to a learner. The medium of e- learning has achieved advancement in various fields such as adaptive e-learning systems. The need for enhancing e-learning semantically can enhance the retrieval and adaptability of the learning curriculum. This paper provides a semantically enhanced module based e-learning for computer science programme on a learnercentric perspective. The learners are categorized based on their proficiency for providing personalized learning environment for users. Learning disorders on the platform of e-learning still require lots of research. Therefore, this paper also provides a personalized assessment theoretical model for alphabet learning with learning objects for
children’s who face dyslexia.
An Ant Colony Optimization based Advice Generation for Curriculum Sequencing ...idescitation
Curriculum sequencing aims to provide a customized optimal learning path
through the curriculum landscape to individual learners since learners have different prior
background knowledge, preferences, and goals. Researchers have given considerable
attention to flexible curriculum sequencing control to provide adaptable, personalized
learning programs. In an adaptive educational system, an optimal learning path aims to
maximize a combination of parameters including the learner’s understanding of courseware
and the efficiency of learning the courseware. Flexibility in learning offers a learner an
autonomy and control over his/her learning process as self-regulated learning. There exist a
number of dimensions of flexible learning like class times, course content, location,
organizational infrastructure, methods, learning styles, course requirements etc. This paper
presents a scheme for advice generation, with the help of ACO, for curriculum sequencing
under flexible learning system. The proposed frame work provides flexibility in time by
asking the learner his affordability and allows his choice of the subjects to be learned by
tracking his learning experiences. On the basis of these parameters, an optimized advice is
generated, suggesting the learner, his future course of action, to be targeted towards the
achievement of his learning objectives. The proposed system has been found to work
satisfactorily with various test cases.
Teaching Higher Order Thinking & 21st Century SkillsTimothy Wooi
Higher Order Thinking and 21st Century Skills
I. Introduction of Higher-Order Thinking (H.O.T.) and Why?
II. Bloom’s Cognitive Taxonomy
III. Why Do We Want to Teach
Higher-Order Thinking?
IV. How Do We Teach Higher- Order
Thinking?
V. The High Investment of Higher-
Order Thinking
STUDENTS’PATTERNS OF INTERACTION WITH A MATHEMATICS INTELLIGENT TUTOR:LEARNIN...IJITE
Purpose: The purpose of this paper is to determine potential identifiers of students’ academic success in
foundation mathematics course by analyzing the data logs of an intelligent tutor.
Design/ methodology/approach: A cross-sectional study design was used. A sample of 58 records was
extracted from the data-logs of the intelligent tutor, ALEKS. This data was triangulated with the data
collected from surveys. Two-step clustering, correlation and regression analysis, Chi-square analysis and
paired sample t-tests were applied to address the research questions.
Findings: The data-logs of ALEKS include information about number of topics practiced and number of
topics mastered by each student. Prior knowledge and derived attribute, which is the ratio of number of
topics mastered to number of topics practiced(denoted by the variable m top in this paper) are found to be
predictors of final marks in the foundation mathematics course with
= 42%.
Students were asked to report their preferred way of selecting topics as either sequential or random.
Results of paired sample t-test demonstrated that the students who selected topics in a sequential manner
were able to retain their mastery of learning after the summative assessment whereas the students who
chose topics randomly were not able to retain their mastery of learning.
Originality and value: This research has established three indicators of academic success in the course of
foundation mathematics which is delivered using the intelligent tutor ALEKS. Instructors can monitor
students’ progress and detect students at-risk who are not able to attain desired pace of learning and guide
them to choose the correct sequence of topics.
STUDENTS’PATTERNS OF INTERACTION WITH A MATHEMATICS INTELLIGENT TUTOR:LEARNIN...IJITE
Purpose: The purpose of this paper is to determine potential identifiers of students’ academic success in
foundation mathematics course by analyzing the data logs of an intelligent tutor.
Design/ methodology/approach: A cross-sectional study design was used. A sample of 58 records was
extracted from the data-logs of the intelligent tutor, ALEKS. This data was triangulated with the data
collected from surveys. Two-step clustering, correlation and regression analysis, Chi-square analysis and
paired sample t-tests were applied to address the research questions.
Findings: The data-logs of ALEKS include information about number of topics practiced and number of
topics mastered by each student. Prior knowledge and derived attribute, which is the ratio of number of
topics mastered to number of topics practiced(denoted by the variable m top in this paper) are found to be
predictors of final marks in the foundation mathematics course with
= 42%.
Students were asked to report their preferred way of selecting topics as either sequential or random.
Results of paired sample t-test demonstrated that the students who selected topics in a sequential manner
were able to retain their mastery of learning after the summative assessment whereas the students who
chose topics randomly were not able to retain their mastery of learning.
Originality and value: This research has established three indicators of academic success in the course of
foundation mathematics which is delivered using the intelligent tutor ALEKS. Instructors can monitor
students’ progress and detect students at-risk who are not able to attain desired pace of learning and guide
them to choose the correct sequence of topics.
Student's Patterns of Interaction with a Mathematics Intelligent Tutor: Learn...IJITE
Purpose: The purpose of this paper is to determine potential identifiers of students’ academic success in
foundation mathematics course by analyzing the data logs of an intelligent tutor.
Design/ methodology/approach: A cross-sectional study design was used. A sample of 58 records was
extracted from the data-logs of the intelligent tutor, ALEKS. This data was triangulated with the data
collected from surveys. Two-step clustering, correlation and regression analysis, Chi-square analysis and
paired sample t-tests were applied to address the research questions.
Findings: The data-logs of ALEKS include information about number of topics practiced and number of
topics mastered by each student. Prior knowledge and derived attribute, which is the ratio of number of
topics mastered to number of topics practiced(denoted by the variable m top in this paper) are found to be
predictors of final marks in the foundation mathematics course with
= 42%.
Students were asked to report their preferred way of selecting topics as either sequential or random.
Results of paired sample t-test demonstrated that the students who selected topics in a sequential manner
were able to retain their mastery of learning after the summative assessment whereas the students who
chose topics randomly were not able to retain their mastery of learning.
Originality and value: This research has established three indicators of academic success in the course of
foundation mathematics which is delivered using the intelligent tutor ALEKS. Instructors can monitor
students’ progress and detect students at-risk who are not able to attain desired pace of learning and guide
them to choose the correct sequence of topics.
(MST) The Teaching and Learning Process in Educational Practices
(class report(s)/discussion(s))
DISCLAIMER: I do not claim ownership of the photos, videos, templates, and etc used in this slideshow
Skills for industry 4.0 , learnagility, practical intelligence, deliberate practice, competency, Industrie 4.0, 21st century skills, higher order thinking skills,
Workshop on Taxonomy of Teaching Learning and AssessingDr. N. Asokan
Workshop on Taxonomy of Teaching Learning and Assessing, Bangladesh Psychometric Society (BPS)
, Revised Bloom Taxonomy, Instructional Objectives, Lower order thinking, higher order thinking, Dhaka University
Dr.N.Asokan, Entrepreneur Characteristics, Purpose, Fanatic Discipline, Life Long Self Learning, Competency, Service Mindset, Personal Mastery, High Energy, Trusted Relationship, Story Telling, System Thinking, Mentor, Grey Area, Complexity
Simplicity, MACAPPSTUDIO, Rethink
lock down, Next new normal, new normal, dr.n.asokan, rethink, revisit, social distance, hand wash, sanitize, fittest, quickest, habits, mindset, immune system, hygiene, new global handshake
Webinar on Teachers to Educational LeaderDr. N. Asokan
webinar on Teachers to Educational Leader, CPSC, Dr.N.Asokan, Career Path in Teaching Profession
Different Verticals Education Business
Synchronization of Mission, Vision & Core Values
Competency = Knowledge X Skill X Talent X Other’s First Mindset
Work & Work Place
Stretch Goal, Sprint Goal & Step Goal
Motivations , Administrator, Manager & Leader @ Work Pyramid
Expectations of Boss & Employee
Time Spent @ Work NOT Equal Experience
First half of the Career NOT EQUAL TO Second Half of the Career
TMRR Learning Model : Target, Measure, Review ,Reflex
Leader : Leadership = (Position + Content) X Values
Senior Position: Things Change
Books Reading
Ground Reality of Research Issues and Concerns of Research ScholarsDr. N. Asokan
Dr.N.Asokan, Kalashalingam University, Purpose
Research Definition
Thinking Process
Issues Related to Research
Issues related to Guide – Student Relationship
Characteristics of Research scholars
Knowledge, Skill, Talent, Life Long Self Learning, Problem Solving Skills, Lower & Higher Order Thinking Skills, Fanatic Discipline
Class Room Research
Research Outcomes from Books
Dr.N.Asokan, Educational administrator, Educational Manager, Career Path in Teaching Profession
Different Verticals Education Business
Synchronization of Mission, Vision & Core Values
Competency = Knowledge X Skill X Talent X Other’s First Mindset
Work & Work Place
Stretch Goal, Sprint Goal & Step Goal
Motivations , Administrator, Manager & Leader @ Work Pyramid
Expectations of Boss & Employee
Time Spent @ Work NOT Equal Experience
First half of the Career NOT EQUAL TO Second Half of the Career
TMRR Learning Model : Target, Measure, Review ,Reflex
Leader : Leadership = (Position + Content) X Values
Senior Position: Things Change
Books Reading
online FDP, webinar, online FDP online FDP online FDP online FDP online FDP online FDP online FDP online FDP online FDP online FDP SEED, SEED SEED SEED
Non Obvious, Future Predicting Skills, curating ideas, INSTANT KNOWLEDGE, ATTENTION WEALTH, HUMAN MODE, Light- Speed Learning, deep expert, fear of missing out
National Education Policy 2019, Rashtriya Shiksha Aayog
School Education, Higher Education, Professional Education,National Research Foundation, Teacher Education,Education Technology,Vocational Education,Promotion of Indian Languages Adult Education
1. Page 1 of 8
Best Practices in Technical Education
Case Study: Mount Zion College of Engineering & Technology, Pudukkottai
Dr.N.Asokan1
N.Meenakshi2
Principal, Mount Zion College of Engineering and Technology, Pudukottai, Tamilnadu- 622 507.
Email : ntvasokan@gmail.com Mobile: 9965520311
2 Lecturer, Dept.of IT, Mount Zion College of Engineering and Technology, Pudukottai.
Abstract
This paper shows how the use of Bloom's revised taxonomy as a pedagogical framework, can help
teachers to address the issues and concerns pertaining to education.
This study was carried out and delimited to 60 students of final year undergraduate Information
Technology programme during 2009 – 2010 for User Interface Design subject at Mount Zion College
of Engineering and Technology, Pudukkottai, Tamil Nadu, India.
The best practices include Planning that is “objective –driven” begins with specifying instructional
objectives from University syllabus (affiliated system) in terms of the classification of the Taxonomy
table followed by “activity –driven”, which gives initial emphasis to the instructional activities and
then, operating from a “test-driven” perspective starts with concerns for assessment finally mapping
of all the above in the taxonomy table.
A Learning activity consist of a verb that relates to an activity at one of the levels of the cognitive
domain, and a noun providing additional insight into the relationship of the specific learning objective
to a category of knowledge.
Staff members expressed their satisfaction regarding “the way they allocate the time in the class room
and by the emphasis they convey to their students about what is really important”, satisfying the
teachers systematically plan a way of effectively facilitating student’s learning.
Learning taxonomies help us to "understand about understanding".
Key words: Taxonomy, Specific Instructional Objectives, Knowledge Dimension, Cognitive
Dimension, Teaching Learning and Assessing, Mapping
2. Page 2 of 8
Best Practices in Technical Education
Case Study: Mount Zion College of Engineering & Technology, Pudukkottai
Dr.N.Asokan,1
N.Meenakshi2
1Principal, Mount Zion College of Engineering and Technology, Pudukottai, Tamilnadu- 622 507.
Email : ntvasokan@gmail.com Mobile: 9965520311
2 Lecturer, Dept.of IT, Mount Zion College of Engineering and Technology, Pudukottai.
1. Introduction
The reasoned aspect of teaching relates to what objectives teachers select for their students. The
intentional aspect of teaching concerns how teachers help students achieve the teachers’ objectives,
that is, learning environments the teachers create and the activities and experiences they provide. The
learning environments, activities, and experiences should be aligned with, or be consistent with, the
selected objectives.
When teachers are confronted with exceedingly large number of vague objectives, we need to
organize and to make the objectives more precise. In a nutshell, then teachers need an organizing
framework that increases precision and, most important, promotes understanding.
This paper shows how the use of Bloom's revised taxonomy (Anderson et al. 2001) , as a pedagogical
framework, can help teachers to address the issues and concerns pertaining to education. The best
practices include Planning that is “objective –driven” begins with specifying instructional objectives
from University syllabus (affiliated system) in terms of the classification of the Taxonomy table
followed by “activity –driven”, which gives initial emphasis to the instructional activities and then,
operating from a “test-driven” perspective starts with concerns for assessment finally mapping of all
the above in the taxonomy table.
In order to ensure successful learning amongst all students, it is extremely important to fully
understand the educational needs of individual students.
Learning taxonomies help us to "understand about understanding".
2. Bloom’s Taxonomy
It is the author’s belief that the use of Bloom's taxonomy could improve the understanding of the
pedagogical, or learning, objectives that should be considered in any educational program, amongst
teachers. The rest of this paper will briefly examine this taxonomy, before discussing its possible use
in technical education. Bloom's taxonomy of the cognitive domain Bloom's taxonomy is possibly one
of the best known and most widely used models of human cognitive processes. Bloom's model was
originally developed in the 1950's and remained in use more or less unchanged until fairly recently
(Van Niekerk ,2008, p. 249). A revised version of the taxonomy was published in 2001. This revised
taxonomy has become accepted as more appropriate in terms of current educational thinking (Van
Niekerk ,2008, pp. 249-260). Both versions of Bloom's taxonomy consist of six levels which increase
in complexity as the learner moves up through these levels.
There are two main differences between the original and the revised versions of the taxonomy. Firstly,
the revised version uses descriptive verbs for each level that more accurately describes the intended
meaning of each level. Secondly, the revised version has swapped the last two levels of the original
version around. This was done because recent studies have suggested that generating, planning, and
producing an original "product" demands more complex thinking than making judgments based on
accepted criteria. The hierarchy of complexity in the revised taxonomy is also less rigid than in the
original in that it recognizes that an individual may move among the levels during extended cognitive
processes. This paper will focus on the revised version of the taxonomy.
3. Page 3 of 8
Wherever this paper mentions Bloom's taxonomy, it should be assumed that the revised version is
intended, unless otherwise stated. The following is a brief explanation of each of the six levels of this
revised taxonomy. (Anderson et al. 2001,pp. 250-252]:
{ Remember: Remember refers to the rote recall and recognition of previously learned facts.
This level represents the lowest level of learning in the cognitive domain because there is no
presumption that the learner understands what is being recalled.
{ Understand: This level describes the ability to "make sense" of the material. In this case the
learning goes beyond rote recall. If a learner understands material it becomes available to that
learner for future use in problem solving and decision making.
{ Apply: The third level builds on the second one by adding the ability to use learned
materials in new situations with a minimum of direction. This includes the application of
rules, concepts, methods and theories to solve problems within the given domain. This level
combines the activation of procedural memory and convergent thinking to correctly select
and apply knowledge to a completely new task. Practice is essential in order to achieve this
level of learning.
{ Analyze: This is the ability to break up complex concepts into simpler component parts in
order to better understand its structure. Analysis skills includes the ability to recognize
underlying parts of a complex system and examining the relationships between these parts
and the whole. This stage is considered more complex than the third because the learner has
to be aware of the thought process in use and must understand both the content and the
structure of material.
{ Evaluate: Evaluation deals with the ability to judge the value of something based on
specified criteria and standards. These criteria and/or standards might be determined by the
learner or might be given to the learner. This is a high level of cognition because it requires
elements from several other levels to be used in conjunction with conscious judgment based
on definite criteria. To attain this level a learner needs to consolidate their thinking and
should also be more receptive to alternative points of view.
{ Create: This is the highest level in the taxonomy and refers to the ability to put various parts
together in order to formulate an idea or plan that is new to the learner. This level stresses
creativity and the ability to form new patterns or structures by using divergent thinking
processes. In addition to these levels of the cognitive domain [4] also places major emphasis
on the use of the following categorization of the knowledge dimension [4, pp. 45-62]:
{ Factual Knowledge - The most basic elements the learner must know in order to be familiar
with a discipline. I.e. Terminology or specific details and elements.
{ Conceptual Knowledge - The interrelationships among the basic elements of larger
structures that enable these elements to function together. I.e. Classification, categories,
principles, theories, models, etc.
{ Procedural Knowledge - How to do something, methods of inquiry, how to use skills, apply
algorithms, techniques and methods. I.e. Subject specific skills, algorithms, techniques, and
methods as well as knowledge of criteria for determining when to use appropriate procedures.
{ Meta-Cognitive Knowledge - An awareness and knowledge of one's own cognition. I.e.
Strategic knowledge, Self-knowledge, knowledge about cognitive tasks, including contextual
and conditional knowledge.
Activities at these six levels of the cognitive domain are usually combined with the one or more of the
four types of knowledge in a collection of statements outlining the learning objectives of an
educational program. Usually a learning objective statement will be used to create a set of learning
activities. Learning activities are activities which help learners to attain the learning objectives.
4. Page 4 of 8
A Learning activity consist of a verb that relates to an activity at one of the levels of the cognitive
domain, and a noun providing additional insight into the relationship of the specific learning objective
to a category of knowledge (Anderson et al. 2001, pp. 93-109). The uses of taxonomy often assist
educators in gaining better understanding of learning objectives, and activities. However, it is not
always clear how this increased understanding can help the educators.
3. Best Practices
Teachers often attempt to address needs of students without adequately studying and understanding
the underlying factors that contribute to those needs (Fuller et al 2007, pp. 27-36). It has been argued
before that educational material should ideally be tailored to the learning needs and learning styles of
individual learners (Roper, 2005, p. 19).
The reference point for any educational program should be a set of clearly articulated "performance
objectives" that have been developed based on an assessment of the target audience's needs and
requirements (Fuller et al 2007, p. 96). Correct usage of an educational taxonomy not only helps to
articulate such performance objectives but, more importantly, helps the educator to correctly gauge
the needs and requirements of the audience.
The following are the best practices followed at Mount Zion College of Engineering & Technology
in the teaching learning process.
a. Identifying the pre-requisite knowledge for a particular subject.
b. Mapping of five units of subject content for that subject
c. Mapping of that subject with other subjects of a progrmme
d. Delivering the knowledge content of pre-requisite knowledge at the beginning of the
semester.
e. Preparing the specific instructional objectives from the syllabus in accordance with Bloom’s
revised taxonomy
f. Preparing the lesson plan
g. Teaching learning process in accordance with Bloom’s revised taxonomy
h. Continual evaluation at the end of the semester in accordance with Bloom’s revised taxonomy
i. Mapping of objectives, teaching learning process and assessment in the Bloom’s revised
taxonomy table.
4. METHODS
The best practices is illustrated for 60 students of final year (seventh semester) undergraduate
engineering Information Technology programme during 2009 – 2010 for User Interface Design
subject at Mount Zion College of Engineering and Technology, Pudukkottai, Tamil Nadu, India.
Planning that is “objective –driven” begins with specifying instructional objectives from University
syllabus (affiliated system) in terms of the classification of the Taxonomy table followed by “activity
–driven”, which gives initial emphasis to the instructional activities and finally, operating from a
“test-driven” perspective starts with concerns for assessment.
The traditional learning objectives (Linda.V et al., 2009) of engineering curricula have focused on
fundamental knowledge, computational skills and their application. Objectives exist in many forms,
ranging from highly specific to global and from explicit to implicit. The most commonly used model
of educational objectives is based on the work of Ralph Tyler (1949). Tyler suggested that “the most
useful form for stating objectives is to express them in terms which identify both the kind of behavior
to be developed in the student and the content.
Working knowledge of WINDOWS have been identified as pre- requisite knowledge and delivered
the same to the students at the beginning of the semester.
There are five units in the syllabus. First unit dealt with introduction of human computer interface,
second unit dealt with designing components, third unit dealt with characteristics of components and
5. Page 5 of 8
presentation styles, fourth unit dealt with web pages and firth unit dealt with testing. Mapping of these
five units illustrated after the pre-requisite knowledge delivered before the actual content delivered as
per the lesson plan.
4.1 Example
Illustration of One sample objective is given below
Subject content given in the IV unit of syllabus: Text for web pages
Objective: To apply the designing concepts to create a web page – Procedural knowledge domain
and “Apply” cognitive process domain
Activities: Defined message, listed the type of messages, listed the type of words, defined icon, listed
the categories of icon, defined static icon, defined dynamic icon, defined localization, defined
accessibility, and defined earcons – Factual knowledge domain and “Remember” cognitive process
domain
Activities: Explained how to choose the image, explained multimedia, explained types of errors,
explained coloring,. - Conceptual knowledge domain and “Understand” cognitive process domain
Assessment: Apply the designing concepts to create a students info web page - Procedural
knowledge domain and “Apply” cognitive process domain
Table1 : Mapping of “To apply the designing concepts to create a web page” Objective,
Teaching Learning Process (activities) and Assessment
KNOWLEDGE
DIMENSION
THE COGNITIVE PROCESS DIMENSION
1.
REMEMBER
2.
UNDERSTAND
3.
APPLY
4.
ANALYZE
5.
EVALUATE
6.
CREATE
A.
FACTUAL
KNOWLEDGE
10 activities
B.
CONCEPTUAL
KNOWLEDGE
4 activities
1.To explain
how to choose
the image
2. To explain
multimedia,
3. To explain
types of errors,
4. To explain
coloring
C.
PROCEDURAL
KNOWLEDGE
To apply
the
designing
concepts to
create a
web page
D.
META-
COGNITIVE
KNOWLEDGE
For each activity, the teacher can derive a lot of useful information about the "coverage" provided by
the activities.
The teacher could choose to focus on the learning objective itself, and thus, only use assessment
methods that require the learner to apply procedural knowledge. Or the assessor might decide to focus
on one or more learning activities and thus have a wider range of assessment coverage. By noting
assessment activities on the same taxonomy table, the teacher can ensure that the chosen assessments
correspond directly to what he/she intends to assess.
6. Page 6 of 8
In the given example, a clear "disconnect" between the learning objective, activities and disconnect
between activities and assessment and the alignment between objective and assessment is observed.
Instead of focusing on the application, or use, of designing concepts, the activities focus on factual
and conceptual knowledge. If the teacher directly focuses on application, then this factual and
conceptual knowledge have become pre-requisite knowledge for that objective. Similarly, other
"miss-alignments" can be identified with the help of this taxonomy table.
Seventy five learning objectives were established for User Interface Design subject in
accordance with Bloom’s revised taxonomy. All the seventy five learning activities are delivered to
the students over the period of 53 hours as per the lesson plan prepared before beginning of the
semester.
. The following table illustrates unit wise the number of objectives classified in accordance
with Bloom’s revised taxonomy and the representative sample of learning objectives is selected as
questions to evaluate the students’ achievements of learning objectives.
Table 2: Table of specifications
UNI
T
No.of
objectives
pertainin
g to
Factual
Knowled
ge/
Remembe
r
No.of
Questio
ns
No.of
objectives
pertainin
g
Conceptu
al
Knowled
ge/
Understa
nd
No.of
Questio
ns
No.of
objectives
pertainin
g
Procedur
al
Knowled
ge/ Apply
No.of
Questio
ns
Total
No.of
Objectiv
es in
Interfac
e Design
subject
Total
No.of
Questio
ns
selected
for End
semeste
r exam.
1 3 2 7 2 0 0 10 4
2 10 2 11 2 0 0 21 4
3 6 2 8 1 4 1 18 4
4 4 2 8 2 0 0 12 4
5 3 4 6 1 5 1 14 6
Tota
l
26
12
40
8
9
2 75 22
5. Findings and discussions
Linda.V et al., (2009) considered what has traditionally been the focus of engineering curricula:
mastery of the core competencies. Empirical data show that a greater degree of engagement or active
learning results in higher mastery.
There are 26 objectives pertaining to Factual Knowledge, out which 12 objectives are used for
evaluation of students at the end of the semester. 11 out of 60 students (remembered) i.e. 18.30% of
students correctly answered all the 12 objectives, and 21 out of 60 students (remembered) i.e.,35% of
students correctly answered 50 % of the objectives.
There are 40 objectives pertaining to Conceptual l Knowledge, out which 8 objectives are used for
evaluation of students at the end of the semester. 8 out of 60 students (understood) i.e.,13% of
students correctly answered these objectives and 24 out of 60 students (understood) i.e.,40 % of
students correctly answered 50 % of the objectives.
There are 9 objectives pertaining to Procedural Knowledge, out which 2 objectives are used for
evaluation of students at the end of the semester. 5 out of 60 students (able to apply the factual and
conceptual knowledge in a given situation) i.e.,8% of students correctly answered these objectives,
and 11 out of 60 students (able to apply the factual and conceptual knowledge in a given situation)
i.e.,18.30% of students correctly answered 50 % of the objectives.
7. Page 7 of 8
Table 3: Mapping of Objectives, Teaching Learning Process (activities) and Assessment for
User Interface Design Subject
KNOWLEDGE
DIMENSION
THE COGNITIVE PROCESS DIMENSION
1.
REMEMBER
2.
UNDERSTAND
3.
APPLY
4.
ANALYZE
5.
EVALUATE
6.
CREATE
A.
FACTUAL
KNOWLEDGE
26 Objectives
26 Activities
12 Questions
18.3%
mastered
B.
CONCEPTUAL
KNOWLEDGE
40 Objectives
40 Activities
8 Questions
13% mastered
C.
PROCEDURAL
KNOWLEDGE
9
Objectives
9Activities
2
Questions
8%
mastered
D.
META-
COGNITIVE
KNOWLEDGE
These learning activities "are most important activities receiving the larger share of the available
resources". In order to design activities that will result in maximum learning, one can look for
activities that involve more than just one type of knowledge.
6. Conclusion
An example of how Bloom's revised taxonomy might be applied to learning objectives, activities and
assessment in a User Interface Design subject was provided. The paper used this brief example, to
show how a taxonomy table based on this example, could assist educators to address the issues and
concerns pertaining to education as best practices.
If all the objectives, activities and assessment are placed in the taxonomy table, then it helps us to
"understand about understanding". By examining the taxonomy table the teacher can easily identify
areas of knowledge, or levels of the cognitive domain, that has not been covered by the learning
activities. Similarly, areas where multiple activities cover the same levels of cognition and categories
of knowledge can be identified. Through the use of such taxonomy certain common weaknesses in
educational programs might be addressed. The "miss-alignments" can be identified with the help of
this taxonomy table
8. Page 8 of 8
This paper suggested that technical educational programs would be more effective if they adhered to
pedagogical principles.
Curriculum developers should use a taxonomy, like Bloom's taxonomy, before compiling the content
category of the educational programme. The use of such a taxonomy could help to understand the
learning needs of the target audience better.
References
Anderson, L., Krathwohl, D., Airasian, P., Cruikshank, K., Mayer, R., Pintrich, P., Raths, J., Wittrock,
M.: A Taxonomy for Learning, Teaching, and Assessing: A Revision of Bloom's Taxonomy of
Educational Objectives, Complete Edition. Longman (2001)
Bloom, B.S. (Ed.), Engelhart, M.D., Furst, E.j., Hill, W.H., & Krathwohl, D.R. Taxonomy of
educational objectives : Handbook I : Congintive domain. New York : David Mckay, 1956.
Linda.V, Jonathan .S, Roberta J.H. The Four-Domain Development Diagram: A Guide for Holistic
Design of Effective Learning Experiences For the Twenty-first Century Engineer. Journal of
Engineering Education January 2009, Vol.98 No.1:67-78.
Fuller, U., Johnson, C.G., Ahoniemi, T., Cukierman, D., Hern¶an-Losada, I., Jack-ova, J., Lahtinen,
E., Lewis, T.L., Thompson, D.M., Riedesel, C., Thompson, E.: Developing a computer science-
specific learning taxonomy. SIGCSE Bull. 39(4) (2007) 152{170).
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