Social media is increasingly used in higher education settings by researchers, students and institutions. Whether it is researchers conversing with other researchers, or universities seeking to communicate to a wider audience, social media platforms serve as a tools for users to communicate and increase visibility. Scholarly communication in social media and investigations about social media metrics is of increasing interest for scientometric researchers, and to the emergence of altmetrics. Less understood is the role of organizational characteristics in garnering social media visibility, through for instance liking and following mechanisms. In this study we aim to contribute to the understanding of the effect of specific social media use by investigating higher education institutions’ presence on Twitter. We investigate the possible connections between followers on Twitter and the use of Twitter and the organizational characteristics of the HEIs. We find that HEIs’ social media visibility on Twitter are only partly explained by social media use and that organizational characteristics also play a role in garnering these followers. Although, there is an advantage in garnering followers for those first adopters of Twitter. These findings emphasize the importance of considering a range of factors to understand impact online for organizations and HEIs in particular.
USAGE PATTERN OF MOBILE PHONE SERVICE AND SOCIO-ECONOMIC STATUS OF THE CUSTOMERIAEME Publication
Communication, as the transfer of information from person to person, is to reach out to people who are close to you. It gives an opportunity to share your views with and how you miss a person and in a business, it helps one to connect easily to his / her co-employees or boss. In the present modern technological world, an individual can communicate anything to everything right from the place where he/she stands either while riding vehicle or travelling in bus / train / air within a fraction of second at quick speed with clear voice and without any disturbance. So, exchange of information becomes the necessity of life to a common man and there are various means of communication on how you can reach out to other people to communicate to communicate and one such means of communication is mobile cell phone.
International Journal of Humanities and Social Science Invention (IJHSSI) is an international journal intended for professionals and researchers in all fields of Humanities and Social Science. IJHSSI publishes research articles and reviews within the whole field Humanities and Social Science, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Narrations of Work-Life Balance among Academic Staff in an Open Distance Lear...QUESTJOURNAL
ABSTRACT: This study explores Work-Life-Balance among academic staff in an Open Distance Learning institution. A qualitative case study is used. Data for the research was collected from 16 academic staff using purposeful sampling. Academics describe the work-life experiences in the context of five overarching themes: (a) time demands, (b) ideal academic (c) career advancement (d) technology, and (e) work environment. This analysis revealed that academics’ work-life experiences are driven by a dearth of time and an excess of roles. Their involvement in multiple, interdependent roles although enriching through career advancement, presents ongoing time-based conflicts due to intense pressures of work. The tension associated with juggling roles significantly impacts their personal well-being and career satisfaction. Recommendations for this study are twofold; those that aid the university management towards more poignant work-life balance policies in the university and the need to conduct more research in Work-Life-Balance in Open Distance Learning institutions.
MS/M.phill Thesis on Investigating relationship between Customer Based Brand ...Muhammad Farooq Buzdar
This study is a serious attempt to remove the barrier between practitioners and academicians. It is not only about investigating relationship between GSM companies’ performance and customer based brand equity. It is a method for conducting research useful for both theory and practice. Future researcher can study CBBE effect with different company performance variables in such a way that could be helpful for managers. This study can be extended to check the relationship between CBBE and brand extension, word of mouth and other variables for measuring company performance. CBBE of different industries can be measured and compared with their performance.
Primary objective of this study was to investigate is there any relationship between CBBE and GSM cellular companies’ performance in Pakistan. In context of CBBE which variables are more important for high company performance? To define in context of CBBE low performing and high performing companies strengths and weakness. For measuring CBBE we conducted survey on customer opinion about brand awareness, brand image, brand loyalty and perceived quality of GSM companies operating in Pakistan. Total respondents for research are 374. Respondents are university students in Islamabad. Four dimensions of brand equity brand awareness, brand image, brand loyalty and perceived quality summarize called brand equity. Brand equity was measured after summarizing all these variables.
As main purpose of this study is to investigate the relationship between customers based brand equity and GSM companies’ performance in Pakistan. Our dependent variable is measured on the basis of addition and retention of subscriber from GSM companies in 2011 to 2012. Three companies’ subscribers increase in this year while two companies lost their previous customers so for year 2011-2012 we categorized these companies as low performing and high performing companies.
We concluded that over all relationship of CBBE and GSM companies’ performance is positive for both high performing and low performing companies. For measuring CBBE all dimension defined are significant. Perceived quality is most important variables in CBBE dimensions for high company performance. Brand loyalty is second most important element in Pakistan for GSM companies to perform high. Brand image is concluded third most important variable for high company performance. Brand awareness is affecting least for high company performance. High performing companies’ reason for high performance is they have higher perceived quality, higher loyalty and higher brand image. Awareness is also positively associated with company performance for high performing company. Low performing company has positive association with brand awareness and company performance. While brand loyalty and perceived quality has negative correlation with company performance. And brand loyalty is a
Impacts of Sportsmanship and Altruism on Casual Employees’ Performance: Case ...inventionjournals
The main purpose of this study was to ascertain the impact of sportsmanship and altruism on casual employees’ performance, a case study of Public Universities in Kenya. Questionnaires were used as data collection tool and a sample population of 225 was taken from five public universities with a response rate of 73%. The data was analysed using SPSS version 16.0. The reliability test of the instrument was tested by using alpha Cronbach and ranged between 0.711 and 0.723.The findings of the study showed that sportsmanship significantly correlated positively with casual employees’ performance (r 2 = 0.064, p < 0.05; β = 0.253, p < 0.05) similar with altruism which correlated significantly with casual employees’ performance (r 2 = 0.320, p < 0.05; β = 0.566, p < 0.05).On mediating the impacts of work environment on casual employees’ performance with sportsmanship and altruism, the coefficient of determination R2 showed a positive change. This therefore indicates that work environment mediates significantly positively with sportsmanship and altruism constructs on casual employees’ performance in Kenyan public universities.
A Longitudinal Study of Undergraduate Performance in Mathematics, an Applicat...iosrjce
Students’ performance in mathematics has been an issue of great concern to most countries,
especially the developing nations. So many programmes have been put in place to improve performances and to
also encourage student to study the course in tertiary institution. In this study we investigate the relationship of
semester, department of a student, age and load unit on marginal mathematics performance o f undergraduate
students. A marginal model was formulated using four working correlation structure where the exchangeable
working correlation structure was selected as the best that models the dataset using quasi information criteria.
The semester, age and load unit were found to be related to the marginal performance in mathematics
USAGE PATTERN OF MOBILE PHONE SERVICE AND SOCIO-ECONOMIC STATUS OF THE CUSTOMERIAEME Publication
Communication, as the transfer of information from person to person, is to reach out to people who are close to you. It gives an opportunity to share your views with and how you miss a person and in a business, it helps one to connect easily to his / her co-employees or boss. In the present modern technological world, an individual can communicate anything to everything right from the place where he/she stands either while riding vehicle or travelling in bus / train / air within a fraction of second at quick speed with clear voice and without any disturbance. So, exchange of information becomes the necessity of life to a common man and there are various means of communication on how you can reach out to other people to communicate to communicate and one such means of communication is mobile cell phone.
International Journal of Humanities and Social Science Invention (IJHSSI) is an international journal intended for professionals and researchers in all fields of Humanities and Social Science. IJHSSI publishes research articles and reviews within the whole field Humanities and Social Science, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Narrations of Work-Life Balance among Academic Staff in an Open Distance Lear...QUESTJOURNAL
ABSTRACT: This study explores Work-Life-Balance among academic staff in an Open Distance Learning institution. A qualitative case study is used. Data for the research was collected from 16 academic staff using purposeful sampling. Academics describe the work-life experiences in the context of five overarching themes: (a) time demands, (b) ideal academic (c) career advancement (d) technology, and (e) work environment. This analysis revealed that academics’ work-life experiences are driven by a dearth of time and an excess of roles. Their involvement in multiple, interdependent roles although enriching through career advancement, presents ongoing time-based conflicts due to intense pressures of work. The tension associated with juggling roles significantly impacts their personal well-being and career satisfaction. Recommendations for this study are twofold; those that aid the university management towards more poignant work-life balance policies in the university and the need to conduct more research in Work-Life-Balance in Open Distance Learning institutions.
MS/M.phill Thesis on Investigating relationship between Customer Based Brand ...Muhammad Farooq Buzdar
This study is a serious attempt to remove the barrier between practitioners and academicians. It is not only about investigating relationship between GSM companies’ performance and customer based brand equity. It is a method for conducting research useful for both theory and practice. Future researcher can study CBBE effect with different company performance variables in such a way that could be helpful for managers. This study can be extended to check the relationship between CBBE and brand extension, word of mouth and other variables for measuring company performance. CBBE of different industries can be measured and compared with their performance.
Primary objective of this study was to investigate is there any relationship between CBBE and GSM cellular companies’ performance in Pakistan. In context of CBBE which variables are more important for high company performance? To define in context of CBBE low performing and high performing companies strengths and weakness. For measuring CBBE we conducted survey on customer opinion about brand awareness, brand image, brand loyalty and perceived quality of GSM companies operating in Pakistan. Total respondents for research are 374. Respondents are university students in Islamabad. Four dimensions of brand equity brand awareness, brand image, brand loyalty and perceived quality summarize called brand equity. Brand equity was measured after summarizing all these variables.
As main purpose of this study is to investigate the relationship between customers based brand equity and GSM companies’ performance in Pakistan. Our dependent variable is measured on the basis of addition and retention of subscriber from GSM companies in 2011 to 2012. Three companies’ subscribers increase in this year while two companies lost their previous customers so for year 2011-2012 we categorized these companies as low performing and high performing companies.
We concluded that over all relationship of CBBE and GSM companies’ performance is positive for both high performing and low performing companies. For measuring CBBE all dimension defined are significant. Perceived quality is most important variables in CBBE dimensions for high company performance. Brand loyalty is second most important element in Pakistan for GSM companies to perform high. Brand image is concluded third most important variable for high company performance. Brand awareness is affecting least for high company performance. High performing companies’ reason for high performance is they have higher perceived quality, higher loyalty and higher brand image. Awareness is also positively associated with company performance for high performing company. Low performing company has positive association with brand awareness and company performance. While brand loyalty and perceived quality has negative correlation with company performance. And brand loyalty is a
Impacts of Sportsmanship and Altruism on Casual Employees’ Performance: Case ...inventionjournals
The main purpose of this study was to ascertain the impact of sportsmanship and altruism on casual employees’ performance, a case study of Public Universities in Kenya. Questionnaires were used as data collection tool and a sample population of 225 was taken from five public universities with a response rate of 73%. The data was analysed using SPSS version 16.0. The reliability test of the instrument was tested by using alpha Cronbach and ranged between 0.711 and 0.723.The findings of the study showed that sportsmanship significantly correlated positively with casual employees’ performance (r 2 = 0.064, p < 0.05; β = 0.253, p < 0.05) similar with altruism which correlated significantly with casual employees’ performance (r 2 = 0.320, p < 0.05; β = 0.566, p < 0.05).On mediating the impacts of work environment on casual employees’ performance with sportsmanship and altruism, the coefficient of determination R2 showed a positive change. This therefore indicates that work environment mediates significantly positively with sportsmanship and altruism constructs on casual employees’ performance in Kenyan public universities.
A Longitudinal Study of Undergraduate Performance in Mathematics, an Applicat...iosrjce
Students’ performance in mathematics has been an issue of great concern to most countries,
especially the developing nations. So many programmes have been put in place to improve performances and to
also encourage student to study the course in tertiary institution. In this study we investigate the relationship of
semester, department of a student, age and load unit on marginal mathematics performance o f undergraduate
students. A marginal model was formulated using four working correlation structure where the exchangeable
working correlation structure was selected as the best that models the dataset using quasi information criteria.
The semester, age and load unit were found to be related to the marginal performance in mathematics
Collaborative, Program-wide Alignment of Assessments and ePortfolios to Build...ePortfolios Australia
During their course of study, medical science students are generally unaware that they are developing professional skills related to graduate capabilities. Interestingly, at a program level the institution finds it difficult to view the development of these capabilities. In this session we will discuss our own learning journey as discipline specific teachers who have worked collaboratively to implement ePortfolios and rubrics across courses and within the medical science degree program at UNSW Australia. Our approach to supporting student learning and development of reflective practice and professional skills in teamwork by cross-discipline alignment of assessment coupled with ePortfolio thinking and doing will be presented.
Measurement Of Values And Performance For The Institutions Of Higher Educatio...tulipbiru64
Paper presented by Prof. Ir. Dr. Mohd Jailani Mohd Nor, Deputy Vice Chancellor (Research and Innovation), Universiti Teknikal Malaysia Melaka (UTeM) at the 4th PERPUN International Conference 2015: Information Revolution, 11-12th August 2015 at Avillion Legacy Hotel, Melaka.
Influence of Table of Specification on the Construction of Ordinary Level Phy...ijtsrd
A table of specification is fundamental in a test construction. The use of table of specifications when construction a teacher made achievement test and standardized test is very essential, because it will make the test valid and reliable. Unfortunately, because of lack of inadequate training on its use, it is usually not used by many teachers when constructing a test. The results from these types of assessments are likely not to be valid and reliable. In this situation, some topics that the teacher spent little time in teaching may carry more weighting leading to students’ poor performance in the subject Physics . Most teachers and administrators are still relatively blank as far as skills in test construction and interpretation are concerned. Classroom test provides teachers with essential information that they can use to make decisions about instructions, students learning and student grades. This paper is centred on the following meaning of weighting, table of specification, the purpose of the table of specification, the benefits of a table of specification in test construction, what should be taken into account when building a TOS, a practical example of TOS, Bloom’s taxonomy of educational objectives and item analysis. The importance of table of specifications and the inherent dangers of not using it are highlighted and recommendations to ameliorate the situation are proffered. Awandia Joseph Tazitabong | Dikande Alain Moise | Ndifon Isaiah Ngek "Influence of Table of Specification on the Construction of Ordinary Level Physics Examination in Cameroon" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-2 , April 2023, URL: https://www.ijtsrd.com.com/papers/ijtsrd53979.pdf Paper URL: https://www.ijtsrd.com.com/physics/other/53979/influence-of-table-of-specification-on-the-construction-of-ordinary-level-physics-examination-in-cameroon/awandia-joseph-tazitabong
Accurate prediction and early identification of student at-risk of attrition are of high concern for higher
educational institutions (HEIs). It is of a great importance not only to the students but also to the
educational administrators and the institutions in the areas of improving academic quality and
efficient utilisation of the available resources for effective intervention. However, despite the different
frameworks and various models that researchers have used across institutions for predicting performance,
only negligible success has been recorded in terms of accuracy, efficiency and reduction of student
attrition. This has been attributed to the inadequate and selective use of variables for the predictive models.
AN INTEGRATED SYSTEM FRAMEWORK FOR PREDICTING STUDENTS’ ACADEMIC PERFORMANCE ...ijcsit
Accurate prediction and early identification of student at-risk of attrition are of high concern for higher educational institutions (HEIs). It is of a great importance not only to the students but also to the educational administrators and the institutions in the areas of improving academic quality and efficient utilisation of the available resources for effective intervention. However, despite the different frameworks and various models that researchers have used across institutions for predicting performance, only negligible success has been recorded in terms of accuracy, efficiency and reduction of student
attrition. This has been attributed to the inadequate and selective use of variables for the predictive models. This paper presents a multi-dimensional and an integrated system framework that involves considerable learners’ input and engagement in predicting their academic performance and intervention in HEIs. The purpose and functionality of the framework are to produce a comprehensive, unbiased and efficient way of predicting student performance that its implementation is based upon multi-sources data and database
system. It makes use of student demographic and learning management system (LMS) data from the institutional databases as well as the student psychosocial-personality (SPP) data from the survey collected from the student to predict performance. The proposed approach will be robust, generalizable, and possibly give a prediction at a higher level of accuracy that educational administrators can rely on for providing timely intervention to students.
Accurate prediction and early identification of student at-risk of attrition are of high concern for higher educational institutions (HEIs). It is of a great importance not only to the students but also to the educational administrators and the institutions in the areas of improving academic quality and efficient utilisation of the available resources for effective intervention. However, despite the different frameworks and various models that researchers have used across institutions for predicting performance, only negligible success has been recorded in terms of accuracy, efficiency and reduction of student attrition. This has been attributed to the inadequate and selective use of variables for the predictive models. This paper presents a multi-dimensional and an integrated system framework that involves considerable learners’ input and engagement in predicting their academic performance and intervention in HEIs. The purpose and functionality of the framework are to produce a comprehensive, unbiased and efficient way of predicting student performance that its implementation is based upon multi-sources data and database system. It makes use of student demographic and learning management system (LMS) data from the institutional databases as well as the student psychosocial-personality (SPP) data from the survey collected from the student to predict performance. The proposed approach will be robust, generalizable, and possibly give a prediction at a higher level of accuracy that educational administrators can rely on for providing timely intervention to students. --
Inductive theory development from quantitative research. It presents the results or findings of a quantitative research. From the results, propositions are created. From the propositions, a theory is developed.
Using Ontology in Electronic Evaluation for Personalization of eLearning Systemsinfopapers
I. Pah, F. Stoica, L. F. Cacovean, E. M. Popa, Using Ontology in Electronic Evaluation for Personalization of eLearning Systems, Proceedings of the 8th WSEAS International Conference on APPLIED INFORMATICS and COMMUNICATIONS (AIC’08), Rhodes, Greece, August 20-22, ISSN: 1790-5109, ISBN: 978-960-6766-94-7, pp. 332-337, 2008
Data Mining Techniques in Higher Education an Empirical Study for the Univer...IJMER
Nowadays, ones of the biggest challenges that educational institutions face is the explosive
growth of educational data. and how to use these data to improve the quality of managerial decisions.
Data mining, as an analytical tools that can be used to extract meaningful knowledge from large data
sets, can be used to achieve this goal.
This paper addresses the applications of Educational Data Mining (EDM) to extract useful information
from registration information of student at university of Palestine in Gaza strip. The data include five
years period [2005-2011] by providing analytical tool to view and use this information for decision
making processes by taking real life example such as grade and GPA for the students. abstract should
summarize the content of the paper.
Frequently in evaluation settings we encounter situations where participants belong to multiple clusters(e.g., schools or classrooms) over the course of study. Student mobility between schools has a negative relationship with academic performance and thus may confound evaluation findings. The importance of using appropriate modeling strategies in these situations has been demonstrated in the research literature (Grady & Beretvas, 2010; Luo & Kwok, 2012). This demonstration will explain the concepts of multiple membership and cross-classification, walk through examples from the literature showing the impact of disregarding these structures in analysis, and demonstrate the use of multilevel modeling software packages (HLM, MLwiN) to account for these data structures in analyzing repeated measures data. Some familiarity with multi-level modeling is assumed.
In this research we employ ERG models to expand the understanding of the variables predicting the formation of learning ties in 'Ask' subreddit communities
Altmetrics and research profiles for 10 universities in FinlandKim Holmberg
Universities’ research profiles, as measured by the attention received from different altmetric events by OECD main categories, were compared with the universities research profiles based on their research outputs, as measured by Web of Science classification of the fields of publications.
Collaborative, Program-wide Alignment of Assessments and ePortfolios to Build...ePortfolios Australia
During their course of study, medical science students are generally unaware that they are developing professional skills related to graduate capabilities. Interestingly, at a program level the institution finds it difficult to view the development of these capabilities. In this session we will discuss our own learning journey as discipline specific teachers who have worked collaboratively to implement ePortfolios and rubrics across courses and within the medical science degree program at UNSW Australia. Our approach to supporting student learning and development of reflective practice and professional skills in teamwork by cross-discipline alignment of assessment coupled with ePortfolio thinking and doing will be presented.
Measurement Of Values And Performance For The Institutions Of Higher Educatio...tulipbiru64
Paper presented by Prof. Ir. Dr. Mohd Jailani Mohd Nor, Deputy Vice Chancellor (Research and Innovation), Universiti Teknikal Malaysia Melaka (UTeM) at the 4th PERPUN International Conference 2015: Information Revolution, 11-12th August 2015 at Avillion Legacy Hotel, Melaka.
Influence of Table of Specification on the Construction of Ordinary Level Phy...ijtsrd
A table of specification is fundamental in a test construction. The use of table of specifications when construction a teacher made achievement test and standardized test is very essential, because it will make the test valid and reliable. Unfortunately, because of lack of inadequate training on its use, it is usually not used by many teachers when constructing a test. The results from these types of assessments are likely not to be valid and reliable. In this situation, some topics that the teacher spent little time in teaching may carry more weighting leading to students’ poor performance in the subject Physics . Most teachers and administrators are still relatively blank as far as skills in test construction and interpretation are concerned. Classroom test provides teachers with essential information that they can use to make decisions about instructions, students learning and student grades. This paper is centred on the following meaning of weighting, table of specification, the purpose of the table of specification, the benefits of a table of specification in test construction, what should be taken into account when building a TOS, a practical example of TOS, Bloom’s taxonomy of educational objectives and item analysis. The importance of table of specifications and the inherent dangers of not using it are highlighted and recommendations to ameliorate the situation are proffered. Awandia Joseph Tazitabong | Dikande Alain Moise | Ndifon Isaiah Ngek "Influence of Table of Specification on the Construction of Ordinary Level Physics Examination in Cameroon" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-2 , April 2023, URL: https://www.ijtsrd.com.com/papers/ijtsrd53979.pdf Paper URL: https://www.ijtsrd.com.com/physics/other/53979/influence-of-table-of-specification-on-the-construction-of-ordinary-level-physics-examination-in-cameroon/awandia-joseph-tazitabong
Accurate prediction and early identification of student at-risk of attrition are of high concern for higher
educational institutions (HEIs). It is of a great importance not only to the students but also to the
educational administrators and the institutions in the areas of improving academic quality and
efficient utilisation of the available resources for effective intervention. However, despite the different
frameworks and various models that researchers have used across institutions for predicting performance,
only negligible success has been recorded in terms of accuracy, efficiency and reduction of student
attrition. This has been attributed to the inadequate and selective use of variables for the predictive models.
AN INTEGRATED SYSTEM FRAMEWORK FOR PREDICTING STUDENTS’ ACADEMIC PERFORMANCE ...ijcsit
Accurate prediction and early identification of student at-risk of attrition are of high concern for higher educational institutions (HEIs). It is of a great importance not only to the students but also to the educational administrators and the institutions in the areas of improving academic quality and efficient utilisation of the available resources for effective intervention. However, despite the different frameworks and various models that researchers have used across institutions for predicting performance, only negligible success has been recorded in terms of accuracy, efficiency and reduction of student
attrition. This has been attributed to the inadequate and selective use of variables for the predictive models. This paper presents a multi-dimensional and an integrated system framework that involves considerable learners’ input and engagement in predicting their academic performance and intervention in HEIs. The purpose and functionality of the framework are to produce a comprehensive, unbiased and efficient way of predicting student performance that its implementation is based upon multi-sources data and database
system. It makes use of student demographic and learning management system (LMS) data from the institutional databases as well as the student psychosocial-personality (SPP) data from the survey collected from the student to predict performance. The proposed approach will be robust, generalizable, and possibly give a prediction at a higher level of accuracy that educational administrators can rely on for providing timely intervention to students.
Accurate prediction and early identification of student at-risk of attrition are of high concern for higher educational institutions (HEIs). It is of a great importance not only to the students but also to the educational administrators and the institutions in the areas of improving academic quality and efficient utilisation of the available resources for effective intervention. However, despite the different frameworks and various models that researchers have used across institutions for predicting performance, only negligible success has been recorded in terms of accuracy, efficiency and reduction of student attrition. This has been attributed to the inadequate and selective use of variables for the predictive models. This paper presents a multi-dimensional and an integrated system framework that involves considerable learners’ input and engagement in predicting their academic performance and intervention in HEIs. The purpose and functionality of the framework are to produce a comprehensive, unbiased and efficient way of predicting student performance that its implementation is based upon multi-sources data and database system. It makes use of student demographic and learning management system (LMS) data from the institutional databases as well as the student psychosocial-personality (SPP) data from the survey collected from the student to predict performance. The proposed approach will be robust, generalizable, and possibly give a prediction at a higher level of accuracy that educational administrators can rely on for providing timely intervention to students. --
Inductive theory development from quantitative research. It presents the results or findings of a quantitative research. From the results, propositions are created. From the propositions, a theory is developed.
Using Ontology in Electronic Evaluation for Personalization of eLearning Systemsinfopapers
I. Pah, F. Stoica, L. F. Cacovean, E. M. Popa, Using Ontology in Electronic Evaluation for Personalization of eLearning Systems, Proceedings of the 8th WSEAS International Conference on APPLIED INFORMATICS and COMMUNICATIONS (AIC’08), Rhodes, Greece, August 20-22, ISSN: 1790-5109, ISBN: 978-960-6766-94-7, pp. 332-337, 2008
Data Mining Techniques in Higher Education an Empirical Study for the Univer...IJMER
Nowadays, ones of the biggest challenges that educational institutions face is the explosive
growth of educational data. and how to use these data to improve the quality of managerial decisions.
Data mining, as an analytical tools that can be used to extract meaningful knowledge from large data
sets, can be used to achieve this goal.
This paper addresses the applications of Educational Data Mining (EDM) to extract useful information
from registration information of student at university of Palestine in Gaza strip. The data include five
years period [2005-2011] by providing analytical tool to view and use this information for decision
making processes by taking real life example such as grade and GPA for the students. abstract should
summarize the content of the paper.
Frequently in evaluation settings we encounter situations where participants belong to multiple clusters(e.g., schools or classrooms) over the course of study. Student mobility between schools has a negative relationship with academic performance and thus may confound evaluation findings. The importance of using appropriate modeling strategies in these situations has been demonstrated in the research literature (Grady & Beretvas, 2010; Luo & Kwok, 2012). This demonstration will explain the concepts of multiple membership and cross-classification, walk through examples from the literature showing the impact of disregarding these structures in analysis, and demonstrate the use of multilevel modeling software packages (HLM, MLwiN) to account for these data structures in analyzing repeated measures data. Some familiarity with multi-level modeling is assumed.
In this research we employ ERG models to expand the understanding of the variables predicting the formation of learning ties in 'Ask' subreddit communities
Similar to Drivers of higher education institutions’ visibility: a study of UK HEIs social media use vs. organizational characteristics (20)
Altmetrics and research profiles for 10 universities in FinlandKim Holmberg
Universities’ research profiles, as measured by the attention received from different altmetric events by OECD main categories, were compared with the universities research profiles based on their research outputs, as measured by Web of Science classification of the fields of publications.
Altmetrics - Measuring the impact of scientific activitiesKim Holmberg
An introduction to altmetrics, the complementary metrics of research impact. The presentation covers some of the challenges with more traditional measures, and the potential of and challenges with altmetrics. The presentation gives a brief overview of the background to a new research project about measuring the societal impact of open science.
Measuring the societal impact of open science (1st presentation of a research...Kim Holmberg
Presenting the background and plan for the research project titled "Measuring the societal impact of open science". Financed by the Ministry of Education and Culture in Finland (2015-2016). #altmetrics #impact #research #project #OpenScience
A presentation about how ICT transforms education. Given on October 11, 2014, in Parainen, Finland, in Swedish.
Presentation om hur IKT förändrar skolan, 11 okto
Analyzing the climate change debate on Twitter – content and differences bet...Kim Holmberg
Results from a study about differences in the use of hashtags and mentioning of other usernames in tweets about climate change from male and female tweeters. Presentation at the #WebSci14 conference.
Combining network structures and meanings: Tweeting over the IPCC reportKim Holmberg
Content analysis of tweets sent by tweeters coded as sceptics, convinced, and neutrals, and that mention 'IPCC'. Presentation given at Sunbelt2014 in St Pete, Fl.
The conceptual landscape of iSchools: Examining current research interests of...Kim Holmberg
Introduction
This study describes the intellectual landscape of iSchools and examines how the various iSchools map onto these research areas.
Method
The primary focus of the data collection process was on faculty members’ current research interests as described by the individuals themselves. A co-word analysis of all iSchool faculty members’ research interests was used as a research method. The relations between the current research profiles of the iSchools were compared by calculating the cosine similarity between co-word profiles and visualized in network graphs.
Results
The results show that the iSchools still contain many dominant themes from LIS, but have an expanded conceptual landscape with the introduction of new iSchools. The methods used for data collection guaranteed the most current data available (in contrast to using publications) and the methods used for analyses gave multiple perspectives to the research landscape of the iSchools.
Conclusions
The results of the present study showed how the current research landscape of the iSchools and the shared research interests were built by many topics that still reflect dominant LIS topics (e.g., bibliometrics, information retrieval, and information seeking behaviour), but that there are also growing areas that reflect the iSchools’ interdisciplinary composition, thus answering the research questions.
Disciplinary Differences in Twitter Scholarly CommunicationKim Holmberg
This paper investigates disciplinary differences in how researchers use the microblogging site Twitter. Tweets from researchers in five disciplines (astrophysics, biochemistry, digital humanities, economics, and history of science) were collected and analyzed both statistically and qualitatively. The results suggest that researchers tend to share more links and retweet more than the average Twitter users in earlier research. The results also suggest that there are clear disciplinary differences in how researchers use Twitter. Biochemists retweet substantially more than researchers in the other disciplines. Researchers in digital humanities use Twitter more for conversations, while researchers in economics share more links than other researchers. The results also suggest that researchers in biochemistry, astrophysics and digital humanities are using Twitter for scholarly communication, while scientific use of Twitter in economics and history of science is marginal.
Sociala medier i undervisning, studier och administration. Presentation vid Åbo Akademi 10.3.2011.
PS. Några slides har aktivt innehåll och syns därför kanske inte i Slideshare så som de skall.
Sosiaalinen media elinkeinopolitiikan toteuttamisessaKim Holmberg
Katsaus sosiaalisen median mahdollisuuksiin ja haasteisiin yleisesti. Muutamia esimerkkejä innovatiivisista ja onnistuneista toteutuksista sosiaalisessa mediassa, sekä esimerkkejä miten vaikutusta ja näkyvyyttä voidaan verkossa mitata.
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
Cancer cell metabolism: special Reference to Lactate PathwayAADYARAJPANDEY1
Normal Cell Metabolism:
Cellular respiration describes the series of steps that cells use to break down sugar and other chemicals to get the energy we need to function.
Energy is stored in the bonds of glucose and when glucose is broken down, much of that energy is released.
Cell utilize energy in the form of ATP.
The first step of respiration is called glycolysis. In a series of steps, glycolysis breaks glucose into two smaller molecules - a chemical called pyruvate. A small amount of ATP is formed during this process.
Most healthy cells continue the breakdown in a second process, called the Kreb's cycle. The Kreb's cycle allows cells to “burn” the pyruvates made in glycolysis to get more ATP.
The last step in the breakdown of glucose is called oxidative phosphorylation (Ox-Phos).
It takes place in specialized cell structures called mitochondria. This process produces a large amount of ATP. Importantly, cells need oxygen to complete oxidative phosphorylation.
If a cell completes only glycolysis, only 2 molecules of ATP are made per glucose. However, if the cell completes the entire respiration process (glycolysis - Kreb's - oxidative phosphorylation), about 36 molecules of ATP are created, giving it much more energy to use.
IN CANCER CELL:
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
introduction to WARBERG PHENOMENA:
WARBURG EFFECT Usually, cancer cells are highly glycolytic (glucose addiction) and take up more glucose than do normal cells from outside.
Otto Heinrich Warburg (; 8 October 1883 – 1 August 1970) In 1931 was awarded the Nobel Prize in Physiology for his "discovery of the nature and mode of action of the respiratory enzyme.
WARNBURG EFFECT : cancer cells under aerobic (well-oxygenated) conditions to metabolize glucose to lactate (aerobic glycolysis) is known as the Warburg effect. Warburg made the observation that tumor slices consume glucose and secrete lactate at a higher rate than normal tissues.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
What are greenhouse gasses how they affect the earth and its environment what is the future of the environment and earth how the weather and the climate effects.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
Drivers of higher education institutions’ visibility: a study of UK HEIs social media use vs. organizational characteristics
1. Julie M. Birkholz1,*, Marco Seeber1 & Kim Holmberg2
*Julie.Birkholz@UGent.be
1Centre for Higher Education Governance Ghent &
Research Unit for the Sociology of Education, Ghent University, Belgium
2Research Unit for the Sociology of Education, University of Turku, Finland
Drivers of higher education
institutions’ visibility:
a study of UK HEIs social media use
vs. organizational characteristics
2.
3. Higher education institutions
are increasingly using social
media platforms as tools to
communicate to prospective
and current students, alumni
and society at large
5. Core organizational attributes
matter in explaining online
communication; where
status, reputation and size
are important predictors of
hyperlink connections and
centrality (Seeber et al. 2012,
Lepori et al. 2013).
6. Is online visibility affected
by social media use or by
other organizational
characteristics?
What is the relative
contribution of
organizational
characteristics and social
media use in explaining
social media visibility (n of
followers on twitter)?
7. We investigate to what
extent the number of twitter
followers is predicted by the
use of Twitter and by the
organizational characteristics
of the Higher Education
Institutions (HEIs) in the UK.
8. Social media visibility can be explained by:
• Hypothesis 1: the social media use of the
organization
• Hypothesis 2: a HEIs organizational characteristics
related to organizational size, status and reputation
• Hypothesis 3: both the HEI’s social media use and
organizational characteristics
Hypotheses
9. Data about
137 UK HEIs
*European Micro Data dataset
(Eumida) - a database containing
the structural characteristics of
2,457 Higher Education institutions
in twenty-eight European countries
(Bonaccorsi et al. 2010; Eumida 2009).
*
1 2
10. Collected from Twitter profiles
Dependent: Social media visibility (Twitter)
• Number of followers
• Total number of tweets sent
• The number of users that the HEIs are
following as a measure of their activity
• Date of first tweet
• and also whether the HEIs use Twitter to
share general news or to reach out to
students specifically
Measures (1/3)
11. Independent: Organizational characteristics (Owen-
Smith & Powell 2008):
• size of the university (number of staff units
and undergraduate students)
• reputation in the core activities of research,
measured through the scientific productivity
and the research intensity, and teaching,
measured through the teaching burden
• status, as measured through the relational
centrality of the university in the system
Measures (2/3)
12. Control variables
• the discipline profile, as some disciplines
may attract more attention than others
because of the societal salience of the topics
addressed
• the geographical context, in terms of the
urban centrality of the city where the
university is located.
Measures (3/3)
13. Mean Median Maximum Minimum
Standard
Deviation
size - units of staff 2.001 1.665 9.498 68 1.675
size - undergraduate students 13.826 13.356 33.640 351 8.462
reputation - scientific productivity 274,66 72,50 1.828,00 0,00 389,03
reputation - research intensity 0,04 0,02 0,27 0,00 0,05
reputation - teaching burden 8,14 7,89 28,03 1,78 3,80
status - coreness 68 66 173 0 45
urban centrality 2,2 0,0 9,0 0,0 3,5
number of followers 17.189 15.900 46.200 1.233 10.085
number of tweets 6.792 5.598 19.000 300 4.220
days on twitter 1.918 2.019 2.644 305 342
number of following 1.312 832 12.700 107 1.506
Table 2. Variables’ descriptive statistics
14. Method: Negative binomial regression
We find that HEIs’ visibility on Twitter are only
partly explained by social media use and that
organizational characteristics also play a role in
explaining the social media visibility of HEIs. There is
also an early-adopter (of social media) advantage.
Results (1/6)
16. Table 4 - Negative Binomial regressions models
Estimate S.E. Pr(>|z|) Estimate S.E. Pr(>|z|) Estimate S.E. Pr(>|z|) Estimate S.E. Pr(>|z|)
Intercept 9,752 0,054 <2e-16 *** 8,862 0,089 <2e-16 *** 8,371 289,300 <2e-16 *** 7,671 0,230 <2e-16 ***
size - undergraduate students 0,000023 0,000007 0,0007*** 0,000018 0,000006 0,0035**
research intensity 2,774 1,088 0,01* 3,416 1,013 0,0007***
coreness 0,005 0,001 0,0002*** 0,005 0,001 0,0004***
Tweets 0,00004 0,00001 0,0003*** 0,00003 0,00001 0,0004***
days twitter 0,001 0,000 0,0003*** 0,00053 0,00011 0,000002***
orientation: news and events 0,296 0,113 0,009**
orientation:students -0,312 0,183 0,09 .
Null deviance 145,96 252,25 183,82 304,75
Residual 142,49 142,25 144,15 141,37
AIC: 2898,6 2822,1 2871,3 2798,4
log-likelihood: -2894,6 -2812,1 -2859,3 -2784,4
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Empty Model Organizational variables Model Social media use Model Full Model
on 136 df
on 136 df
on 131 df
on 136 df
on 132 df
on 136 df
on 133 df
on 136 df
Results (3/6)
17. delta: standard
deviation
proportion in number of
followers
1 size - undergraduate students 8 462 1.16
2 research intensity 0.049 1.18
3 Status - coreness 45 1.24
4 Tweets 4 220 1.15
5 days twitter 342 1.20
Table 5 - Negative binomial regression model:
comparing the impact of the variables.
Results (4/6)
18. Results (5/6)
The overall predicting
capability of the full
model is fairly good.
Values below and above
the median of 15,900
Twitter followers (Full
model) were predicted
correctly for 79%
(positive predictive
value) and 92%
(sensitivity) of the cases
respectively. Figure 1. Results from Full model
19. Results (6/6)
Some outliers (based on number of followers) were
excluded from the initial test, but later tested:
• Open University (129,825 predicted vs. about 100,000 actual
followers)
• University of Oxford (60,180 vs. about 175,000)
• University of Cambridge (85,692 vs. about 151,000)
• London Business School (12,624 vs. about 69,800)
While Open University is well predicted by the model, the
other three are not. All four attract a larger number of
followers than predicted by the model.
20. Discussion (1/3)
The results emphasize the importance of considering a
range of organizational and social media use variables
in order to fully understand online visibility.
This topic is of
interest for
scientometrics, as
it is an additional
avenue from
bibliometrics to
evaluate potential
impact of a HEIs.
21. Discussion (2/3)
In addition…
The results advances our
understanding of metrics
validity and sheds light on
the practical questions of
how organizations can garner
visibility online, but also of
the limitations to do that, as
organizational characteristics
strongly affect a HEIs visibility
potential online.
22. Discussion (3/3)
Future research could be
interested to investigate how
the content of tweets may
influence online visibility
The existence of a few outliers
suggest that few actors attract a
disproportionally high attention
from the public. Future research
may investigate why this occurs.
23. İlginiz için teşekkür ederiz
Kim Holmberg
kim.j.holmberg@utu.fi
http://kimholmberg.fi
@kholmber
24. Natural
Sciences
Engineering &
Technology
Medical
Sciences
Agricultural
Sciences
Social
Sciences
Humanities
Rotated Component Matrixa
Component
1 2 3
sci ,657 -,095 -,131
eng ,554 ,309 ,239
med ,456 -,688 -,271
agr ,021 -,053 ,942
sosc ,228 ,806 -,221
hum -,975 -,020 -,047
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 6 iterations.
We run a factor analysis on the UK sample discipline compositions
and find 3 factors.
In the EUMIDA dataset we have data on the share of
academic staff in six disciplinary areas:
The discipline profile
Editor's Notes
Social media is increasingly used in higher education settings by researchers, students and institutions. Whether it is researchers conversing with other researchers, or universities seeking to communicate to a wider audience, social media platforms serve as a tools for users to communicate and increase visibility. Scholarly communication in social media and investigations about social media metrics is of increasing interest for scientometric researchers, and to the emergence of altmetrics.
Higher education institutions (HEIs), in particular, are increasingly
using social media platforms as tools to communicate to prospective and current students,
alumni and society at large (Gibbs 2002; Helgesen 2008; Hemsley-Brown & Oplatka 2006).
Social media is increasingly used in higher education settings by researchers, students and institutions. Whether it is researchers conversing with other researchers, or universities seeking to communicate to a wider audience, social media platforms serve as a tools for users to communicate and increase visibility. Scholarly communication in social media and investigations about social media metrics is of increasing interest for scientometric researchers, and to the emergence of altmetrics.
Higher education institutions (HEIs), in particular, are increasingly
using social media platforms as tools to communicate to prospective and current students,
alumni and society at large (Gibbs 2002; Helgesen 2008; Hemsley-Brown & Oplatka 2006).
The delineation of this mechanism advances our understanding of metrics validity and sheds light on the practical questions of how organizations can garner visibility online.