Educators' learning experiences and intention to use online learning management systems’ platforms: a perceptual study

Keywords: O-LMS, learning management system, perceived online learning experience, TAM

Abstract


This study examines the adoption and use of Online Learning Management Systems (OLMS) in central government universities in India, emphasizing the impact of instructors' previous online learning experiences. To accomplish this, we employed the Technology Acceptance Model as the theoretical foundation, expanding its scope to encompass external factors and perceived variables related to O-LMS adoption. We investigate OLMS adoption patterns, platform preferences, and the impact of ownership status on technological integration using survey data obtained from faculty members at the top ten central government universities. Through a rigorous survey conducted among 326 faculty respondents from esteemed institutions and universities, we delved into their experiences, challenges, and perceived benefits associated with O-LMS utilization. Our data show that Moodle is the most widely used OLMS platform, with 85% of surveyed universities using this open-source system. Furthermore, we identify the important impact that educators' prior online learning experiences have in molding their opinions of OLMS, emphasizing the need for extensive training and continuous support programs. Furthermore, our findings highlight the need for further research to investigate the efficacy of various OLMS platforms, longitudinal studies to track the long-term effects of adoption, and qualitative investigations into educators' perspectives and experiences. By focusing on these research directions, stakeholders can improve technology integration in educational settings, resulting in more effective and inclusive learning environments.

Author Biography

Shruti Singh, Institute of Management Studies, BHU

Research Scholar with Institute of Management Studies, BHU. She is also a recipient of ICSSR doctoral fellowship. She cleared her UGC NET in 2019. She has 2 years of corporate experience. She has published research papers with repute journals like Elsevier, Taylor & Francis, etc. She has attended a few international and national conferences at repute universities and institutes. Her areas of interest include behavioral finance and personal finance. She can be reached at shruti.singh2705@yahoo.com

 

References

Ajibade, P. (2019). Technology acceptance model limitations and criticisms: Exploring the practical applications and use in technology-related studies, mixed-method, and qualitative research. Library Philosophy and Practice (e-journal), 1941.

Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In Action control: From cognition to behavior. Springer Berlin Heidelberg, Berlin, Heidelberg. 11-39.

Alqurashi, E. (2019). Predicting student satisfaction and perceived learning within online learning environments. Distance Education, 40 (1), 133–148.

Altawalbeh, M.A. (2023). Adoption of Academic Staff to use the Learning Management System (LMS): Applying Extended Technology Acceptance Model (TAM2) for Jordanian Universities. International Journal on Studies in Education, 5 (3), 288–300.

Bhattacherjee, A. (2000). Acceptance of e-commerce services: the case of electronic brokerages. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 30(4), 411-420.

Braeken, J., & Van Assen, M.A.L.M. (2017). An empirical Kaiser criterion. Psychological Methods, 22 (3), 450–466.

Chen, C.K. & Almunawar, M.N. (2021). Cloud Learning Management System in Higher Education. In I. Management Association (Ed.), Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing. IGI Global. 1564-1586

Davis, F.D. (1989). 249008. Perceived Usefuness, Perceived Ease of Use and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340.

Davis, F.D., & Venkatesh, V. (1996). A critical assessment of potential measurement biases in the technology acceptance model: Three experiments. International Journal of Human Computer Studies, 45 (1), 19–45.

Davis, F. D., & Venkatesh, V. (2000). Theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926

de Oliveira Júnior, P. R. Z., Lucas Azevedo de Oliveira, T. C. de S. (2018). Student ́s Attitudes Towards Probability and Statistics and Academic Achievement on Higher Education. Acta Didactica Napocensia, 11(2), 43–56. https://doi.org/10.24193/adn.11.2.4.44

Duin, A.H., & Tham, J. (2020). The Current State of Analytics: Implications for Learning Management System (LMS) Use in Writing Pedagogy. Computers and Composition, 55, 102544.

Eom, S.B. (2014). Understanding e-learners’ satisfaction with learning management systems. Bulletin of the Technical Committee on Learning Technology, 16 (2–3), 10–13.

Faisal, F., Abidin, Z., & Haryanto, H. (2021). Enterprise risk management (ERM) and firm value: The mediating role of investment decisions. Cogent Economics and Finance, 9 (1), 1-15.

Fornell, C., & Larcker, D.F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18 (1), 39–50.

Gautreau, C. (2011). Motivational factors affecting the integration of a learning management system by faculty. Journal of Educators Online, 8 (1), 1–25.

Gómez-Ramirez, I., Valencia-Arias, A., & Duque, L. (2019). Approach to M-learning Acceptance Among University Students. The International Review of Research in Open and Distributed Learning, 20 (3), 141–164.

Hair, J.F., Ringle, C.M., & Sarstedt, M. (2013). Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance. Long Range Planning, 46 (1–2), 1–12.

Hair, J.F., Risher, J.J., Sarstedt, M., & Ringle, C.M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31 (1), 2–24.

Hanif, A., Jamal, F. Q., & Imran, M. (2018). Extending the technology acceptance model for use of e-learning systems by digital learners. IEEE Access, 6, 73395–73404.

Irfandi, Festiyed, Yerimadesi, Sudarma, T.F. (2023). The use of learning management system (lms) in the teaching and learning process : literature review. Jurnal Pendidikan Fisika, 12 (1), 81-90.

Judge, D.S., & Murray, B. (2017). Student and Faculty Transition to a New Online Learning Management System. Teaching and Learning in Nursing, 12 (4), 277–280.

Ketchen, D.J. (2013). A Primer on Partial Least Squares Structural Equation Modeling. Long Range Planning , 46 (1–2), 184-185.

Lee, A.S.H., & Lim, T.M. (2016). Behavioral intention to use knowledge sharing tools: Positive and negative affect on Affective Technology Acceptance Model. In: Knowledge 8th Management International Conference, 191–196.

Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information and Management, 40 (3), 191–204.

Lim, T.S., Mail, R., Abd Karim, M.R., Ahmad Baharul Ulum, Z.K., Jaidi, J., & Noordin, R. (2018). A serial mediation model of financial knowledge on the intention to invest: The central role of risk perception and attitude. Journal of Behavioral and Experimental Finance, 20, 74–79.

Liu, I.F., Chen, M.C., Sun, Y.S., Wible, D., & Kuo, C.H. (2010). Extending the TAM model to explore the factors that affect Intention to Use an Online Learning Community. Computers and Education, 54 (2), 600–610.

Lu, C., Huang, S., & Lo, P. (2010). An empirical study of on-line tax filing acceptance model : Integrating TAM and TPB. African Journal of Business Management, 4 (5), 800–810.

Rauniar, R., Rawski, G., Yang, J., & Johnson, B. (2014). Technology acceptance model (TAM) and social media usage: An empirical study on Facebook. Journal of Enterprise Information Management, 27 (1), 6–30.

Sarstedt, M., Ringle, C.M., Smith, D., Reams, R., & Hair, J.F. (2014). Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers. Journal of Family Business Strategy, 5 (1), 105–115.

Sejzi, A.A., & Aris, B. (2013). Learning Management System ( LMS ) and Learning Content Management System ( LCMS ) at Virtual University. 2nd International Seminar on Quality and Affordable Education, 2 (1), 216–220.

Sentosa, I. , & Nik Mat, N.-K.. (2012). Examining a Theory of Planned Behavior (Tpb) and Technology Acceptance Model (Tam) in Internet purchasing Using Structural Equation Modeling. Journal ofArts, Science & Commerce, 3 (2), 62–77.

Simanullang, N.H.S., & Rajagukguk, J. (2020). Learning Management System (LMS) Based on Moodle to Improve Students Learning Activity. Journal of Physics: Conference Series, 1462, 012067.

Sulaiman, T.T. (2024). A systematic review on factors influencing learning management system usage in Arab gulf countries. Education and Information Technologies, 29, 2503–2521.

Tallent-Runnels, M.K., Thomas, J.A., Lan, W.Y., Cooper, S., Ahern, T.C., Shaw, S.M., & Liu, X. (2006). Teaching courses online: A review of the research. Review of Educational Research, 76 (1), 93–135.

Venkatesh, V., & Bala, H. (2008). Technology Acceptance Model 3 and a Research Agenda on Interventions Subject Areas: Design Characteristics, Interventions. Decision Sciences, 39 (2), 273–315.

Venkatesh, V., Morris, M.G., Davis, G.B., & Davis, F.D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly: Management Information Systems, 27 (3), 425–478.

Voorhees, C. M., Brady, M. K., Calantone, R., & Ramirez, E. (2016). Discriminant validity testing in marketing: an analysis, causes for concern, and proposed remedies. Journal of the Academy of Marketing Science, 44 (1), 119–134.

Winter, S.J., Sheats, J.L., Salvo, D., Banda, J.A., Quinn, J., Rivera, B.R., & King, A.C. (2020). A Mixed Method Study to Inform the Implementation and Expansion of Pop-Up Parks for Economic, Behavioral, and Social Benefits. Journal of Urban Health, 97 (4), 529–542.

Wong, C.W.Y., Lai, K.H., Shang, K.C., Lu, C.S., & Leung, T.K.P. (2012). Green operations and the moderating role of environmental management capability of suppliers on manufacturing firm performance. International Journal of Production Economics, 140 (1), 283–294.

Wu, I.L., & Chen, J.L. (2005). An extension of Trust and TAM model with TPB in the initial adoption of on-line tax: An empirical study. International Journal of Human Computer Studies, 62 (6), 784–808.

Xu, H., & Mahenthiran, S. (2016). Factors that Influence Online Learning Assessment and Satisfaction: Using Moodle as a Learning Management System. International Business Research, 9 (2), 1-18.

Yadav, R., Shiva, A., & Narula, S. (2024). Exploring private university attractiveness from students’ perspective to ensure sustainable institutes: an empirical investigation from Indian perspective. Asia-Pacific Journal of Business Administration, 16 (1), 170-203.

Yang, H.H., & Su, C.H. (2017). Learner behaviour in a MOOC practice-oriented course: In empirical study integrating TAM and TPB. International Review of Research in Open and Distance Learning, 18 (5), 35–63.

Zhang, E.M. (2010). Understanding the Acceptance of Mobile SMS Advertising among Young Chinese Consumers. Psychology & Marketing, 30 (6), 461–469.

Published
2024/12/05
Section
Original Scientific Paper