Identification and Prioritization of Factors Affecting E-teacher’s Performance based on Fuzzy Analytic Hierarchy Process (AHP)
Introduction: Information and communication technology has changed the traditional role of teachers and learners. It’s important to detect factors influencing e-teachers’ role to improve their performance more than ever. So in this study we identified and prioritized factors influencing e-teacher’s...
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Format: | Article |
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Isfahan University of Medical Sciences, Medical Education Development Center
2013-11-01
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Series: | مجله ایرانی آموزش در علوم پزشکی |
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Online Access: | http://ijme.mui.ac.ir/article-1-2641-en.pdf |
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author | Somaieh Borjalilu Naimeh Borjalilu Aeen Mohammadi Rita Mojtahedzadeh |
author_facet | Somaieh Borjalilu Naimeh Borjalilu Aeen Mohammadi Rita Mojtahedzadeh |
author_sort | Somaieh Borjalilu |
collection | DOAJ |
description | Introduction: Information and communication technology has changed the traditional role of teachers and learners. It’s important to detect factors influencing e-teachers’ role to improve their performance more than ever. So in this study we identified and prioritized factors influencing e-teacher’s effective performance.
Methods: In this descriptive study, 15 e-learning experts from Tehran University of Medical Sciences were selected through purposeful sampling. Having focus group sessions held, their viewpoints about main factors affecting e-teacher’s performance were collected. In order to collect the views toward the significance of each criterion, a questionnaire was developed regarding the main criterion and its subordinates in which there was a comparison table for each criterion. Then Fuzzy Analytic Hierarchy Process decision making was used for prioritizing and weighting factors (ie., criteria).
Results: Totally 5 factors influencing e-teachers’ performance were extracted. The factor of professional knowledge had the highest weight (0.28) was recognized as the most important factor. This factor did not have any subordinate. Technology with the lowest weight (0.137) was identified as the least important factors affecting e-teacher’s performance. Factors (and their most important subordinates with the highest coefficients) were as follows: skillfulness in e-teacher role playing (mastery in pedagogy), technology (mastery in information technology), management (management of virtual classroom), and personality factor (interest in virtual training).
Conclusion: In order to select an e-teacher and develop his capabilities, it must be considered that IT expertise is of the least importance and teachers who encompass factors such as professional knowledge and are able to act as an effective teacher, are also able to act as a successful e-teacher. |
first_indexed | 2024-03-11T13:01:00Z |
format | Article |
id | doaj.art-e09501b258034910bd9166b7fbf54497 |
institution | Directory Open Access Journal |
issn | 1608-9359 1735-8892 |
language | fas |
last_indexed | 2024-03-11T13:01:00Z |
publishDate | 2013-11-01 |
publisher | Isfahan University of Medical Sciences, Medical Education Development Center |
record_format | Article |
series | مجله ایرانی آموزش در علوم پزشکی |
spelling | doaj.art-e09501b258034910bd9166b7fbf544972023-11-03T16:42:44ZfasIsfahan University of Medical Sciences, Medical Education Development Centerمجله ایرانی آموزش در علوم پزشکی1608-93591735-88922013-11-01138681691Identification and Prioritization of Factors Affecting E-teacher’s Performance based on Fuzzy Analytic Hierarchy Process (AHP)Somaieh Borjalilu0Naimeh Borjalilu1Aeen Mohammadi2Rita Mojtahedzadeh3 Introduction: Information and communication technology has changed the traditional role of teachers and learners. It’s important to detect factors influencing e-teachers’ role to improve their performance more than ever. So in this study we identified and prioritized factors influencing e-teacher’s effective performance. Methods: In this descriptive study, 15 e-learning experts from Tehran University of Medical Sciences were selected through purposeful sampling. Having focus group sessions held, their viewpoints about main factors affecting e-teacher’s performance were collected. In order to collect the views toward the significance of each criterion, a questionnaire was developed regarding the main criterion and its subordinates in which there was a comparison table for each criterion. Then Fuzzy Analytic Hierarchy Process decision making was used for prioritizing and weighting factors (ie., criteria). Results: Totally 5 factors influencing e-teachers’ performance were extracted. The factor of professional knowledge had the highest weight (0.28) was recognized as the most important factor. This factor did not have any subordinate. Technology with the lowest weight (0.137) was identified as the least important factors affecting e-teacher’s performance. Factors (and their most important subordinates with the highest coefficients) were as follows: skillfulness in e-teacher role playing (mastery in pedagogy), technology (mastery in information technology), management (management of virtual classroom), and personality factor (interest in virtual training). Conclusion: In order to select an e-teacher and develop his capabilities, it must be considered that IT expertise is of the least importance and teachers who encompass factors such as professional knowledge and are able to act as an effective teacher, are also able to act as a successful e-teacher.http://ijme.mui.ac.ir/article-1-2641-en.pdfvirtual educatione-teacherfuzzy analytic hierarchy process (fahp)performance. |
spellingShingle | Somaieh Borjalilu Naimeh Borjalilu Aeen Mohammadi Rita Mojtahedzadeh Identification and Prioritization of Factors Affecting E-teacher’s Performance based on Fuzzy Analytic Hierarchy Process (AHP) مجله ایرانی آموزش در علوم پزشکی virtual education e-teacher fuzzy analytic hierarchy process (fahp) performance. |
title | Identification and Prioritization of Factors Affecting E-teacher’s Performance based on Fuzzy Analytic Hierarchy Process (AHP) |
title_full | Identification and Prioritization of Factors Affecting E-teacher’s Performance based on Fuzzy Analytic Hierarchy Process (AHP) |
title_fullStr | Identification and Prioritization of Factors Affecting E-teacher’s Performance based on Fuzzy Analytic Hierarchy Process (AHP) |
title_full_unstemmed | Identification and Prioritization of Factors Affecting E-teacher’s Performance based on Fuzzy Analytic Hierarchy Process (AHP) |
title_short | Identification and Prioritization of Factors Affecting E-teacher’s Performance based on Fuzzy Analytic Hierarchy Process (AHP) |
title_sort | identification and prioritization of factors affecting e teacher s performance based on fuzzy analytic hierarchy process ahp |
topic | virtual education e-teacher fuzzy analytic hierarchy process (fahp) performance. |
url | http://ijme.mui.ac.ir/article-1-2641-en.pdf |
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