South Asian Journal of Management

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Factors Affecting the Acceptance of E-learning By Students: A Study of E-learning Programs in Gwalior, India


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1 Prestige Institute of Management, Gwalior, India
     

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Technological advancements have touched and transformed all walks of life and almost every aspect of human working. Education is one of the area which is highly influenced with its dynamism. Technology has created an ecosystem wherein education can be imparted through E-modes. This electronic learning ecosystem is diversified which is catering to the needs of individuals in multiple ways. This has certainly created various educational center across the globe, evidently interconnected, responsive and continuously enriching every moment. The primary purpose of the study was to identify the factors that affect the perception of the students towards E-Learning and its acceptability. Primary data from 140 students of under graduation, postgraduation, and the students preparing for a competitive examination was collected using the non-probability purposive sampling method. The study has employed principle components analysis for identification of key factors that influence student’s perception. The results showed that acceptance of E-learning is governed by four critical dimensions, which are, E-learner Competency, External Influence, System Interactivity, and Social Influence. One-way ANOVA has helped in identifying the opinion differences among different categories. The opinion difference among male and female reponsdent have been compared and found that males are more enthusiastic to accept E-learning. In case of educational qualification categories it was found that PG students are more enthusiastic to accept Elearning as compared to other two categories. The composite score of E-learning in Gwalior was calculated as 3.89 which was found near to threshold value of agreeableness. The study has implication for Government/private organizations, educational institutes as they can incorporate the findings work towards building a holistic E-learning environment which would imbibe novelty, innovation, and technology.

Keywords

E-learning, Gwalior, Internet, Online Education, Technology.
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  • Abbad, M. M., Morris, D., & De Nahlik, C. (2009). Looking under the bonnet: Factors affecting student adoption of E-learning systems in Jordan. The International Review of Research in Open and Distributed Learning, 10(2), 1-25.

  • Alkhanak, S. A. A. K., & Azmi, I. A. G. (2011). University students’ information technology experience and its role towards E-learning orientation. New Educational Review, 24(2), 231-242.

  • Allen, I. E., & Seaman, J. (2008). Staying the Course: Online Education in the United States, Morocco: Sloan Consortium.

  • Allen, I. E., & Seaman, J. (2010). Class Differences: Online Education in the United States, Sloan Consortium (NJ1).

  • Alonso, F., López, G., Manrique, D., & Viñes, J. M. (2005). An instructional model for webbased elearning education with a blended learning process approach. British Journal of Educational Technology, 36(2), 217-235.

  • Arif, M., Illahi, M., Karim, A., Shamshirband, S., Alam, K. A., Farid, S., & Balas, V. E. (2015). An architecture of agent-based multi-layer interactive e-learning and e-testing platform. Quality & Quantity, 49(6), 2435-2458.

  • Bhattacharya, I., & Sharma, K. (2007). India in the knowledge economy–an electronic paradigm. International Journal of Educational Management, 21(6), 543-568.

  • Bingham, T., & Conner, M. (2010). The New Social Learning: A Guide to Transforming Organizations Through Social Media. Berrett-Koehler Publishers.

  • Ellis, R. A., Ginns, P., & Piggott, L. (2009). Elearning in higher education: some key aspects and their relationship to approaches to study. Higher Education Research & Development, 28(3), 303-318.

  • Graf, S., & Liu, T. C. (2009). Supporting teachers in identifying students’ learning styles in learning management systems: An automatic student modelling approach. Journal of Educational Technology & Society, 12(4), 3-14.

  • Greener, S. L. (2010). Plasticity: The online learning environment’s potential to support varied learning styles and approaches. Campus-Wide Information Systems, 27(4), 254-262.

  • Grier-Reed, T. L., Skaar, N. R., & Conkel-Ziebell, J. L. (2009). Constructivist career development as a paradigm of empowerment for at-risk culturally diverse college students. Journal of Career Development, 35(3), 290-305.

  • Gvaramadze, I. (2012). Developing generic competencies in online virtual education programmes at the University of Deusto. Campus-wide Information Systems, 29(1), 4-20.

  • Hannon, J., & D’Netto, B. (2007). Cultural diversity online: student engagement with learning technologies. International Journal of Educational Management, 21(5), 418-432.

  • Ho, L. A., Kuo, T. H., & Lin, B. (2010). Influence of online learning skills in cyberspace. Internet Research, 20(1), 55-71.

  • Hussin, H., Bunyarit, F., & Hussein, R. (2009). Instructional design and elearning: Examining learners’ perspective in Malaysian institutions of higher learning. Campus-Wide Information Systems, 26(1), 4-19.

  • Internshala Blog. (2017). 6 reasons why you shouldn’t do an online training. Internshala blog. Retrieved 16 November 2017, from http://blog.internshala.com/2015/05/reasons-for-not-doing-online-training/

  • Islam, N., Khudri, M. M., & Afrin, S. (2017). Impact factors of ICT on the learning process of students: A study on private universities in Bangladesh. South Asian Journal of Management, 24(1), 32-55.

  • Jenkins, M., & Hanson, J. (2003). E-learning series No. 1: A guide for senior managers (Vol. 1). Learning and Teaching Support Network Generic Centre.

  • Juhary, B. J. (2005). A step towards e-Learning: Some pedagogical issues. International Journal of Pedagogies and Learning, 1(1), 48-58.

  • Kaler, C. B. (2012). A model of successful adaptation to online learning for collegebound Native American high school students. Multicultural Education & Technology Journal, 6(2), 60-76.

  • Khan, A. N. M. (2018). Governance and academic management of private universities in Bangladesh: Need for embracing a new paradigm. South Asian Journal of Management, 25(2), 117-138.

  • Knowles, M. S. (1970). The Modern Practice of Adult Education (Vol. 41). New York: New York Association Press.

  • Koohang, A., & Harman, K. (2005). Open source: A metaphor for e-learning. Informing Science Journal, 8(1), 75-86.

  • Lee, T., & Lee, J. (2006). Quality assurance of web based e-learning for statistical education. In A. Rizzi & M. Vichi (Eds.), Proceedings in Computational Statistics 2006 (pp. 429-438). Rome, Italy: Physica-Verlag.

  • Majid, F. A., Sharil, W. N. E. H., Luaran, J. E., & Nadzri, F. A. (2012). A study on the on-line language learning anxiety among adult learners. International Journal of e-Education, e-Business, e-Management and e-Learning, 2(3), 187-192.

  • Male, G., & Pattinson, C. (2011). Enhancing the quality of E-learning through mobile technology: A socio-cultural and technology perspective towards quality E-learning applications. Campus-Wide Information Systems, 28(5), 331-344.

  • Mayes, J., & Frietas, S. (2008). Learning and e-Learning: The role of theory. In H. Beetham, & R. Sharpe (Eds.), Rethinking Pedagogy for a Digital Age (pp. 33-45). Abingdon, UK: Routledge.

  • Ngampornchai, A., & Adams, J. (2016). Students’ acceptance and readiness for E-learning in Northeastern Thailand. International Journal of Educational Technology in Higher Education, 13(34), 1-13.

  • Orly, M. (2007). Multicultural E-learning project and comparison of teachers’, student teachers’ and pupils’ perceptions about e-learning. Multicultural Education & Technology Journal, 1(3), 178-191.

  • Paravantis, J. A. (2010). Multivariate analysis of attitudes of elementary education teachers towards the environment, computers and E-learning. International Journal of Business Studies: A Publication of the Faculty of Business Administration, Edith Cowan University, 18(1), 55-72.

  • Patel, C., & Patel, T. (2005). Exploring a joint model of conventional and online learning systems. E-Service Journal, 4(2), 27-46.

  • Patrick, H., Ryan, A. M., & Kaplan, A. (2007). Early adolescents’ perceptions of the classroom social environment, motivational beliefs, and engagement. Journal of educational psychology, 99(1), 83-98.

  • Pilli, A. O., Fanaeian, A. Y., & Al-Momani, M. M. (2014). Investigating the Students’ Attitude Toward the use of E-learning in Girne American University. International Journal of Business and Social Science, 5(5), 169-175.

  • Raboca, H. M., & Carbunarean, F. (2015). Students’ perception regarding the benefits and negatives of e-learning. Managerial Challenges of the Contemporary Society. Proceedings, 8(1), 134-140.

  • Rayburn-Reeves, R. M., Molet, M., & Zentall, T. R. (2011). Simultaneous discrimination reversal learning in pigeons and humans: Anticipatory and perseverative errors. Learning & Behavior, 39(2), 125-137.

  • Shuo, Z. (2011). E-learning Strategy of EFL Pedagogy in Talents Management. International Journal of e-Education, e-Business, e-Management and e-Learning, 1(3), 254-259.

  • Strugar, I., & Bedenik, N. O. (2014). Student’s Perceptions of E-learning in Croatia. In an Enterprise Odyssey. International Conference Proceedings (p. 746). The University of Zagreb, Faculty of Economics and Business.

  • Suri, G., Kaur, G., & Sharma, S. (2016). Factors Influencing E-learning among University Students. International Journal of Marketing & Business Communication, 5(1), 43-49.

  • Tsai, C. W. (2012). The role of teacher’s initiation in online pedagogy. Education Training, 54(6), 456-471.

  • Vargas, N., & Tian, X. (2013). E-learning: Much more than a matter of technology. International Journal of e-Education, e-Business, e-Management and e-Learning, 3(3), 277-284.

  • Wong, L., Tatnall, A., & Burgess, S. (2014). A framework for investigating blended learning effectiveness. Education Training, 56(2/3), 233-251.

  • Zapalska, A., & Brozik, D. (2006). Learning styles and online education. CampusWide Information Systems, 23(5), 325-335.

  • Zhu, C., Valcke, M., & Schellens, T. (2009). A cross-cultural study of online collaborative learning. Multicultural Education & Technology Journal, 3(1), 33-46.


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  • Factors Affecting the Acceptance of E-learning By Students: A Study of E-learning Programs in Gwalior, India

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Authors

Rahul Pratap Singh Kaurav
Prestige Institute of Management, Gwalior, India
Sneha Rajput
Prestige Institute of Management, Gwalior, India
Ruturaj Baber
Prestige Institute of Management, Gwalior, India

Abstract


Technological advancements have touched and transformed all walks of life and almost every aspect of human working. Education is one of the area which is highly influenced with its dynamism. Technology has created an ecosystem wherein education can be imparted through E-modes. This electronic learning ecosystem is diversified which is catering to the needs of individuals in multiple ways. This has certainly created various educational center across the globe, evidently interconnected, responsive and continuously enriching every moment. The primary purpose of the study was to identify the factors that affect the perception of the students towards E-Learning and its acceptability. Primary data from 140 students of under graduation, postgraduation, and the students preparing for a competitive examination was collected using the non-probability purposive sampling method. The study has employed principle components analysis for identification of key factors that influence student’s perception. The results showed that acceptance of E-learning is governed by four critical dimensions, which are, E-learner Competency, External Influence, System Interactivity, and Social Influence. One-way ANOVA has helped in identifying the opinion differences among different categories. The opinion difference among male and female reponsdent have been compared and found that males are more enthusiastic to accept E-learning. In case of educational qualification categories it was found that PG students are more enthusiastic to accept Elearning as compared to other two categories. The composite score of E-learning in Gwalior was calculated as 3.89 which was found near to threshold value of agreeableness. The study has implication for Government/private organizations, educational institutes as they can incorporate the findings work towards building a holistic E-learning environment which would imbibe novelty, innovation, and technology.

Keywords


E-learning, Gwalior, Internet, Online Education, Technology.

References