Volume 15, Issue 1 (2023)
Res Med Edu 2023, 15(1): 13-21 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Zahed Babelan A, Mehravar S, Kazami S, Javidpour M. Evaluating the Quality of Electronic Education in the Higher Education System Using the HELAM Evaluation Model. Res Med Edu 2023; 15 (1) :13-21
URL: http://rme.gums.ac.ir/article-1-1277-en.html
URL: http://rme.gums.ac.ir/article-1-1277-en.html
Department of Educational Sciences, Faculty of Educational Sciences Psychology, University of Mohaghegh Ardabili, Ardabil, Iran , zahed@uma.ac.ir
Abstract: (909 Views)
Introduction: Nowadays, using e- learning in the universities and higher education institutions of the world is considered as a strategic priority; therefore, in order to improve, guarantee the quality and optimal use of the capacities of e-learning, it is necessary to evaluate it. In this regard, the present study was conducted with the aim of evaluating the quality of electronic education of Mohaghegh Ardabili University using the HELAM evaluation model.
Methods: This research is practical in terms of purpose and nature, and descriptive in terms of data collection. The statistical population of the research was made up of all the students of Mohaghegh Ardabili University in the number of 12500 people, and 350 people were selected as a sample through the Morgan table through stratified random sampling. The data collection tool was the e-learning quality evaluation questionnaire of Helm Özkan's hexagonal conceptual model. The content validity of the questionnaire was approved by expert professors in the field of e- learning and the reliability of this questionnaire was also obtained in this research using the Cronbach's alpha method of 0.87. Data were analyzed in two levels of descriptive ( frequncy,Mean,standard deviation) and inferential( One- sample t-test and Friedman's test) through SPSS.
Results: Results showed that all aspects of The HELAM evaluation Model (quality of content, quality of system, teachers` view, learners` view,quality of services and supporting subjects ) in Mohaghegh Ardabili University are in a medium to high condition.Also results of Friedmans Ranking test showed that among aspects of electronic education based on HELAM evaluation model, quality of content with the mean of (4.49) and supporting subjects with the mean of (1.0 ) respectively have the most and the least effect on electronic education.
Conclusion: The quality of electronic education of Mohaghegh Ardabili University in the academic year 2021- 2022 is at a medium to high level based on the average dimensions of Helm's hexagonal evaluation model. According to the findings of the research, it is suggested to the managers and policy makers of Mohaghegh Ardabili University to use the results of various evaluation models to resolve the issues and problems of this field and take steps to strengthen the electronic education systems.
Methods: This research is practical in terms of purpose and nature, and descriptive in terms of data collection. The statistical population of the research was made up of all the students of Mohaghegh Ardabili University in the number of 12500 people, and 350 people were selected as a sample through the Morgan table through stratified random sampling. The data collection tool was the e-learning quality evaluation questionnaire of Helm Özkan's hexagonal conceptual model. The content validity of the questionnaire was approved by expert professors in the field of e- learning and the reliability of this questionnaire was also obtained in this research using the Cronbach's alpha method of 0.87. Data were analyzed in two levels of descriptive ( frequncy,Mean,standard deviation) and inferential( One- sample t-test and Friedman's test) through SPSS.
Results: Results showed that all aspects of The HELAM evaluation Model (quality of content, quality of system, teachers` view, learners` view,quality of services and supporting subjects ) in Mohaghegh Ardabili University are in a medium to high condition.Also results of Friedmans Ranking test showed that among aspects of electronic education based on HELAM evaluation model, quality of content with the mean of (4.49) and supporting subjects with the mean of (1.0 ) respectively have the most and the least effect on electronic education.
Conclusion: The quality of electronic education of Mohaghegh Ardabili University in the academic year 2021- 2022 is at a medium to high level based on the average dimensions of Helm's hexagonal evaluation model. According to the findings of the research, it is suggested to the managers and policy makers of Mohaghegh Ardabili University to use the results of various evaluation models to resolve the issues and problems of this field and take steps to strengthen the electronic education systems.
Type of Study: Research |
Subject:
Educational technology, e-Learning,Virtual Education
References
1. Sadati L, Nouri Z, Hajfiroozabadi M, Abjar R.[Faculty Members' Experiences About Virtual Education Opportunities and Challenges During The Covid- 19: A Qualitative Study]. J Med Educ Dev 2021; 14 (42) :1- 10. [Persian] [DOI:10.52547/edcj.14.42.1]
2. Onyema EM, Eucheria NC, Obafemi FA, Sen S, Atonye FG, Sharma A, Alsayed AO. Impact of Coronavirus pandemic on education. Journal of Education and Practice 2020; 11 (13): 108- 21.
3. Özer M. The contribution of the strengthened capacity of vocational education and training system in Turkey to the fight against Covid- 19. Journal of Higher Education 2020; 10 (2): 134- 40. [DOI:10.2399/yod.20.726951]
4. Mishra L, Gupta T, Shree A. Online teaching- learning in higher education during lockdown period of COVID- 19 pandemic. International Journal of Educational Research Open. 2020; 1: 100012. [DOI:10.1016/j.ijedro.2020.100012]
5. Alsoufi A, Alsuyihili A, Msherghi A, Elhadi A, Atiyah H, Ashini A, Ashwieb A, Ghula M, Ben Hasan H, Abudabuos S, Alameen H. Impact of the COVID- 19 pandemic on medical education: Medical students' knowledge, attitudes, and practices regarding electronic learning. PloS one 2020; 15 (11): e0242905. [DOI:10.1371/journal.pone.0242905]
6. Taghizadeh S, Haji J, Mohammadimehr M.[A Comparative Study of the Challenges and Opportunities of Higher Education in the Corona Pandemic in Iran and around the World]. NPWJM 2020; 8 (27) : 47- 57. [Persian] [DOI:10.29252/npwjm.8.27.47]
7. Mastan IA, Sensuse DI, Suryono RR, Kautsarina K. Evaluation of distance learning system (e-learning): a systematic literature review. Jurnal Teknoinfo 2022; 16 (1): 132- 7. [DOI:10.33365/jti.v16i1.1736]
8. Isroani F, Jaafar N, Muflihaini M. Effectiveness of E- Learning Learning to Improve Student Learning Outcomes at Madrasah Aliyah. International Journal of Science Education and Cultural Studies 2022 ; 1 (1): 42- 51. [DOI:10.58291/ijsecs.v1i1.26]
9. Logan RM, Johnson CE, Worsham JW. Development of an e-learning module to facilitate student learning and outcomes. Teaching and Learning in Nursing. 2021 Apr 1; 16 (2): 139- 42. [DOI:10.1016/j.teln.2020.10.007]
10. Barteit S, Guzek D, Jahn A, Bärnighausen T, Jorge MM, Neuhann F. Evaluation of e- learning for medical education in low-and middle- income countries: A systematic review. Computers & education 2020; 145: 103726. [DOI:10.1016/j.compedu.2019.103726]
11. Alshammari MT. Evaluation of gamification in e- learning systems for elementary school students. TEM Journal 2020; 9 (2): 806- 13. [DOI:10.18421/TEM92-51]
12. Supriyatno T, Susilawati S, Hassan A. E- learning development in improving students' critical thinking ability. Cypriot Journal of Educational Sciences 2020; 15 (5): 1099 - 106. [DOI:10.18844/cjes.v15i5.5154]
13. Chin RY, Tjahjono R, Rutledge MJ, Lambert T, Deboever N. The evaluation of e- learning resources as an adjunct to otolaryngology teaching: a pilot study. BMC Medical Education. 2019 Dec; 19 (1): 1- 9. [DOI:10.1186/s12909-019-1618-7]
14. Ozkan S, Koseler R. Multi- dimensional students' evaluation of e- learning systems in the higher education context: An empirical investigation. Computers & Education. 2009 Dec 1; 53 (4): 1285- 96. [DOI:10.1016/j.compedu.2009.06.011]
15. Prihartini N, Soemitro HL, Hendradjaya B. Identifying aspects of web e- learning in LMS- based for requirement engineering process modeling.International Conference on Data and Software Engineering (ICoDSE) 2016 Oct 26 : IEEE; 2016. [DOI:10.1109/ICODSE.2016.7936134]
16. Muthuraman S. Quality of blended learning education in higher education. The Online Journal of Distance Education and e- Learning 2018; 6 (4):48.
17. Pritalia GL, Budiyanto SD, Dewi LT, Kusrohmaniah S. Critical Factor of E- Learning Component using HELAM and AHP. MATEC Web of Conferences 2018 ; 218: 03020 . [DOI:10.1051/matecconf/201821803020]
18. Narenji Thani F, Pourkarimi J, Hejazi S. Identifying the components of e- learning system at University of Tehran]. Technology of Education Journal (TEJ) 2021; 15 (2): 321- 337. [DOI:10.52547/mpes.15.2.255]
19. rezaee AA, zahedi MH.[The Role of Modern Technologies in the Development of E- learning (Looking at the Opportunities and Challenges Facing Universities and Higher Education Institutions)]. Journal of Research in Educational Science 2018; 12 (40): 205- 222. [Persian]
20. Nobakht M, Gholami H, Emadzadeh A, Momeni Rad S.[A survey on the quality of Master of Medical Education e- learning Course at Mashhad University of Medical Sciences]. jmed 2017; 11 (4) :287- 300 . [Persian]
21. lawaf S, rahmat zade E, azizi A.[Evaluating the Quality of E- Learning in Students of Dentistry faculty, Terhan Medical Sciences, Islamic Azad University in 2020]. J Res Dent Sci 2021; 18 (2): 109- 118. [Persian] [DOI:10.52547/jrds.18.2.109]
22. Razzaghi M, Ghalavandi H, Hasani M.[The Role of Student Characteristics, Content Quality and Knowledge Management in Using E- Learning by Medical Students through Mediation of E- Learning Acceptance (Case Study: Shiraz University of Medical Sciences)]. RME 2022; 14 (2) : 9- 20 . [Persian] [DOI:10.52547/rme.14.2.9]
23. Ozkan S, Koseler R., Baykal N. Evaluating learning management systems: Adoption of hexagonal e‐ learning assessment model in higher education. Transforming government: people, process and policy 2009; 3(2):111-30. [DOI:10.1108/17506160910960522]
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
