Factor Analysis on E-Learning Implementation in Mongolian Higher Education
- 1 The Cabinet Secretariat of the Government of Mongolia, Ulan Bator, Mongolia
- 2 Department of Information and Computer Science, National University of Mongolia, Ulan Bator, Mongolia
- 3 Department of Economics, National University of Mongolia, Ulan Bator, Mongolia
- 4 Department of Education and Psychology, National University of Mongolia, Ulan Bator, Mongolia
- 5 Department of Economics, Concordia University, Montreal, Canada
- 6 Department of Finance, National University of Mongolia, Ulan Bator, Mongolia
Abstract
This paper examine s the survey results on e-learning implementation, which covered 726 lecturers from Mongolia n universities and colleges. The authors determined factors that influence e-learning course classification . We applied m ethods such as regression analysis and factor analysis. It revealed that insti tutional factors such as ownership, LMS, size, and personal factors such as age, gender, prior training, team, field of science, qualification, and locations influence the tendency to develop e-learning courses. The study is beneficial for policymakers and practitioners by broadening the understanding of institu tional and personal factors influencing e-learning course development. I mplications for practice and policy : 1) Mongolian higher education institutions primarily practice web-facilitated courses with few blended and online courses. 2) Institutional factors such as ownership, LMS, size, and personal factors such as age, gender, prior training, team, field of science, qualification, and lo cations influence the tendency to develop e-learning courses. 3) There is a strong need for faculty development as every third lecturer does not know about the learning theories and does not apply them to the e-learning course development. 4) The higher education management should address challenges faced by the faculty members. 72.65% of respondents raised environment and faculty development challenges.
- Allen, I. E., & Seaman, J. (2014). Grade Change: Tracking Online Education in the United States. The Babson Survey Research Group. https://www.onlinelearningsurvey.com/reports/gradechange.pdf
- Andersson, A., & Grönlund, Å. (2009). A Conceptual Framework for E-Learning in Developing Countries: A Critical Review of Research Challenges. The Electronic Journal of Information Systems in Developing Countries, 38, 1-16. https://doi.org/10.1002/j.1681-4835.2009.tb00271.x
- Bates, T. (2018). The 2017 National Survey of Online Learning in Canadian Post-Secondary Education: Methodology and Results. International Journal of Educational Technology in Higher Education, 15, Article No. 29. https://doi.org/10.1186/s41239-018-0112-3
- Cox, G., & Trotter, H. (2017). Factors Shaping Lecturers’ Adoption of OER at Three South African Universities. In C. Hodgkinson-Williams, & P. B. Arinto (Eds.), Adoption and Impact of OER in the Global South (pp. 287-347). African Minds, International Development Research Centre & Research on Open Educational Resources for Development.
- Hadullo, K., Oboko, R., & Omwenga, E. (2018). Status of E-Learning Quality in Kenya: Case of Jomo Kenyatta University of Agriculture and Technology Postgraduate Students. The International Review of Research in Open and Distributed Learning, 19, 138-160. https://doi.org/10.19173/irrodl.v19i1.3322
- Hill, T., & Lewicki, P. (2006). Statistics: Methods and Applications: A Comprehensive Reference for Science. StatSoft.
- Janssen, B., & Schuwer, R. (2018). Adoption of Sharing and Reuse of Open Resources by Educators in Higher Education Institutions in the Netherlands: A Qualitative Research of Practices, Motives, and Conditions. The International Review of Research in Open and Distributed Learning, 19, 151-171. https://doi.org/10.19173/irrodl.v19i3.3390
- Larionova, V., Brown, K., Bystrova, T., & Sinitsyn, E. (2018). Russian Perspectives of Online Learning Technologies in Higher Education: An Empirical Study of a MOOC. Research in Comparative and International Education, 13, 70-91. https://doi.org/10.1177/1745499918763420
- Ministry of Education, Culture and Science (2014). Annual Report. https://www.mecss.gov.mn
- Ministry of Education, Culture and Science (2017). Annual Report. https://www.mecss.gov.mn
- Seaman, J. E., Allen, E. I., & Seaman, J. (2018). Grade Increase: Tracking Distance Education in the United States. Babson Survey Research Group. https://eric.ed.gov/?id=ED580852