E-Learning Products Adoption by Sem and CMB Multivariate Technique of Data Mining

Authors

  • Sri Tulasi T. Department of Business Administration, Kalasalingam Business School, Kalasalingam Academy of Research and Education, Krishnankoil 626126, Tamil Nadu, India
  • Inayath Ahamed S. B. Department of Business Administration, Kalasalingam Business School, Kalasalingam Academy of Research and Education, Krishnankoil 626126, Tamil Nadu, India

Keywords:

Marketing challenges, e-learning, adoption

Abstract

The contemporary education landscape has witnessed a rapid surge in the utilization of e-learning products, ushering in new possibilities for accessible and flexible learning experiences. However, the successful adoption of these products hinges upon overcoming diverse marketing challenges. This study delves into the intricate interplay between marketing challenges associated with e-learning products and their subsequent impact on adoption intentions. Through an extensive exploration of perceived quality and credibility, technical obstacles, pricing strategies, lack of awareness, and learner engagement, this research sheds light on the multifaceted hurdles that impede the effective promotion of e-learning solutions. By employing a comprehensive analysis, the study reveals a profound relationship between these challenges and the intentions of learners to embrace e-learning products. The findings underscore the necessity for targeted strategies to navigate these challenges, fostering an environment conducive to wider e-learning adoption and the evolution of education paradigms. The research unveiled that the primary marketing obstacles linked to e-learning products encompass perceived quality and credibility, technical hurdles, pricing strategies, lack of awareness, and learner engagement. Moreover, the findings conclusively substantiated a noteworthy influence of these factors on the intentions of adopting e-learning products.

Downloads

Download data is not yet available.

References

Abed, E.K. (2019), “Electronic learning and its benefits in education”, EURASIA Journal of Mathematics, Science and Technology Education, Vol. 15 No. 3, em1672.

Alsoud, A.R. and Harasis, A.A. (2021), “The impact of covid-19 pandemic on student’s e-learning experience in Jordan”, Journal of Theoretical and Applied Electronic Commerce Research, Vol. 16 No. 5, pp. 1404-1414.

Baiyere, A. and Li, H. (2016), “Application of a virtual collaborative environment in a teaching case”, in AMCIS 2016: Surfing the IT Innovation Wave - 22nd Americas Conference on Information Systems.

Baleghi-Zadeh, S., Ayub, A.F.M., Mahmud, R. and Daud, S.M. (2017), “The influence of system interactivity and technical support on learning management system utilization”, Knowledge Management and E-Learning, Vol. 9 No. 1, pp. 50-68.

Chen, S. Y., & Macredie, R. D. (2018). The Assessment of Learning Performances for Science and Engineering Higher Education Using an Intelligent Tutoring System. Computers & Education, 119, 110-128.

Duggal, S. (2022). Factors impacting acceptance of e-learning in India: learners’ perspective. Asian Association of Open Universities Journal, 17(2), 101–119. https://doi.org/10.1108/aaouj-01-2022-0010

Gligorea, I., Bârsan, G., Oancea, R., & Moro, N. (2021). E-Learning Strategies to Improve the Students’ Engagement. In International Conference Knowledge-Based Organization (Vol. 27, No. 3).

HolonIQ (2021), “2021 global learning landscape”, available at: https://www.globallearninglandscape.org/ (accessed 16 May 2021).

Humida, T., Al Mamun, M. H., & Keikhosrokiani, P. (2022). Predicting behavioral intention to use e-learning system: A case-study in Begum Rokeya University, Rangpur, Bangladesh. Education and information technologies, 27(2), 2241-2265.

Igbokwe, I. C., Okeke-James, N. J., Anyanwu, A. N., & Eli-Chukwu, N. C. (2020). Managing the challenges to the effective utilisation of e-learning as a response in COVID-19 Nigeria. International Studies in Educational Administration, 48(2), 28–34.

KPMG (2017), “Online education in India: 2021”, available at: https://assets.kpmg/content/dam/kpmg/ in/pdf/2017/05/Online-Education-in-India-2021.pdf (accessed 16 May 2021).

Mtebe, J. S., & Kissaka, M. M. (2015). Heuristics for evaluating usability of Learning Management Systems in Africa. 2015 IST-Africa Conference.

Nasscom (2018), “EdTech – the advent of digital education”, available at: https://nasscom.in/ knowledge-center/publications/edtech-advent-digital-education (accessed 16 May 2021).

Nwana, S. E., Egbe, C. I., & Ugwuda, S. O. (2017). Awareness and Usage of E-Learning Materials among Students of National Open University of Nigeria (NOUN). World Journal of Education, 7(6), 75-79.

Onyema, E. M., Ogechukwu, U., Anthonia, E. C. D., & Deborah, E. (2019). Potentials of mobile technologies in enhancing the effectiveness of inquiry-based learning approach. International Journal of Education (IJE), 2(01), 1-22.

Pham, L., Limbu, Y. B., Bui, T. K., Nguyen, H. T., & Pham, H. T. (2019). Does e-learning service quality influence e-learning student satisfaction and loyalty? Evidence from Vietnam. International Journal of Educational Technology in Higher Education, 16(1), 1-26.

Sharp, S. (2000), “Internet usage in education for technology horizon in education”, Vol. 27 No. 10, pp. 12-14.

Venkatesh, V., Thong, J. & Xu, X. (2016). Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead. Journal of the Association for Information Systems, 17 (5), 328-376

Downloads

Published

07.02.2024

How to Cite

Tulasi T., S. ., & S. B., I. A. (2024). E-Learning Products Adoption by Sem and CMB Multivariate Technique of Data Mining. International Journal of Intelligent Systems and Applications in Engineering, 12(15s), 276–285. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4745

Issue

Vol. 12 No. 15s (2024)

Section

Research Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.

IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.