skip to main content
10.1145/3377049.3377087acmotherconferencesArticle/Chapter ViewAbstractPublication PagesiccaConference Proceedingsconference-collections
research-article

Roles of Social Influence in Expediting Online Learning Acceptance: A Preliminary Study on Bangladeshi Learners

Authors Info & Claims
Published:20 March 2020Publication History

ABSTRACT

Higher education institutions (HEIs) around the world tend to incorporate various online learning platforms, such as Moodle, Google Classroom, Blackboard, Canvas, Virtual University Expert System (VUES), with the aim of shaping academic activities, which are knowledge sharing and knowledge creating. Despite its numerous benefits and usefulness highlighted in literature, majority are hesitant and reluctant to use online learning platforms available in Bangladesh. Alternatively, scholars from diverse disciplines have identified the construct 'social influence' as a prevailing predictor of the variable 'behavioral intention' to adopt numerous online platforms: blogs, e-services, online game and the predictor, social influence, plays a substantial role in embracing online learning as well as communicating the usefulness of various e-learning platforms. The study, therefore, is spearheaded to ascertain the role of social influence in facilitating learners' behavioral intention to accept online learning and communicating the usefulness of the e-learning in Bangladesh. To manifest the effect that one variable has on another, the study analyzed data of one hundred respondents surveyed randomly and confirmed the existence of the significant relationships: social influence (SI) and behavioral intention (BI), social influence (SI) and perceived usefulness (PU) in facilitating online learning acceptance, which provides an outline to the educators to comprehend behavior of the learners. The result of the study may also assist the educators and administrators to devise useful initiatives to intensify penetration rate of using online learning within the institution in Bangladesh. The research further adds to the existing literature that explains adoption and acceptance behavior of online education.

References

  1. A. Al-Azawei, P. Parslow, and K. Lundqvist, "Barriers and opportunities of e-learning implementation in Iraq: A case of public universities," The International Review of Research in Open and Distributed Learning, vol. 17, 2016.Google ScholarGoogle ScholarCross RefCross Ref
  2. F. D. Davis, "Perceived usefulness, perceived ease of use, and user acceptance of information technology," MIS quarterly, pp. 319--340, 1989.Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. S.-S. Liaw and H.-M. Huang, "Perceived satisfaction, perceived usefulness and interactive learning environments as predictors to self-regulation in e-learning environments," Computers & Education, vol. 60, pp. 14--24, 2013.Google ScholarGoogle ScholarCross RefCross Ref
  4. C.-S. Ong, J.-Y. Lai, and Y.-S. Wang, "Factors affecting engineers' acceptance of asynchronous e-learning systems in high-tech companies," Information & management, vol. 41, pp. 795--804, 2004.Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. M. Aparicio, F. Bacao, and T. Oliveira, "Cultural impacts on e-learning systems' success," The Internet and Higher Education, vol. 31, pp. 58--70, 2016.Google ScholarGoogle ScholarCross RefCross Ref
  6. M.-H. Ryu, S. Kim, and E. Lee, "Understanding the factors affecting online elderly user's participation in video UCC services," Computers in Human Behavior, vol. 25, pp. 619--632, 2009.Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. S. Y. Park, "An analysis of the technology acceptance model in understanding university students' behavioral intention to use e-learning," Educational technology & society, vol. 12, pp. 150--162, 2009.Google ScholarGoogle Scholar
  8. M. S. H. Khan, M. Hasan, and C. K. Clement, "Barriers to the introduction of ICT into education in developing countries: The example of Bangladesh," International Journal of instruction, vol. 5, 2012.Google ScholarGoogle Scholar
  9. A. Al-Adwan, A. Al-Adwan, and J. Smedley, "Exploring students acceptance of e-learning using Technology Acceptance Model in Jordanian universities," International Journal of Education and Development using ICT, vol. 9, 2013.Google ScholarGoogle Scholar
  10. V. Venkatesh, M. G. Morris, G. B. Davis, and F. D. Davis, "User acceptance of information technology: Toward a unified view," MIS quarterly, pp. 425--478, 2003.Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. C.-L. Hsu and J. C.-C. Lin, "Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation," Information & management, vol. 45, pp. 65--74, 2008.Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. G. Kirkup and A. Kirkwood, "Information and communications technologies (ICT) in higher education teaching---a tale of gradualism rather than revolution," Learning, Media and Technology, vol. 30, pp. 185--199, 2005.Google ScholarGoogle ScholarCross RefCross Ref
  13. R. Oliver, "The role of ICT in higher education for the 21st century: ICT as a change agent for education," Retrieved April, vol. 14, p. 2007, 2002.Google ScholarGoogle Scholar
  14. K. Yasemin, xe, U. ak, A. Petek, x15f, kar, et al., "A Structural Equation Model for ICT Usage in Higher Education," Journal of Educational Technology & Society, vol. 11, pp. 262--273, 2008.Google ScholarGoogle Scholar
  15. H. Ardi, "INTERNET-BASED ACTIVITIES IN DEVELOPING STUDENTS'ENGLISH SKILLS," Lingua Didaktika: Jurnal Bahasa dan Pembelajaran Bahasa, vol. 6, pp. 26--36, 2012.Google ScholarGoogle ScholarCross RefCross Ref
  16. L. Rashotte, "Social influence," The Blackwell encyclopedia of sociology, 2007.Google ScholarGoogle Scholar
  17. Y. Malhotra and D. F. Galletta, "Extending the technology acceptance model to account for social influence: Theoretical bases and empirical validation," in Proceedings of the 32nd Annual Hawaii International Conference on Systems Sciences. 1999. HICSS-32. Abstracts and CD-ROM of Full Papers, 1999, p. 14 pp.Google ScholarGoogle Scholar
  18. D. Urumsah, "Factors Influencing Consumers to Use e-services in Indonesian Airline Companies," in E-services Adoption: Processes by Firms in Developing Nations, ed: Emerald Group Publishing Limited, 2015, pp. 5--254.Google ScholarGoogle Scholar
  19. D. L. Goodhue, W. Lewis, and R. Thompson, "Does PLS have advantages for small sample size or non-normal data?," Mis Quarterly, pp. 981--1001, 2012.Google ScholarGoogle ScholarCross RefCross Ref
  20. S. J. Barnes and M. Böhringer, "Modeling use continuance behavior in microblogging services: the case of Twitter," Journal of Computer Information Systems, vol. 51, pp. 1--10, 2011.Google ScholarGoogle Scholar
  21. M. A. Cohen, "Some new evidence on the seriousness of crime," Criminology, vol. 26, pp. 343--353, 1988.Google ScholarGoogle ScholarCross RefCross Ref
  22. P.-C. Sun, R. J. Tsai, G. Finger, Y.-Y. Chen, and D. Yeh, "What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction," Computers & education, vol. 50, pp. 1183--1202, 2008.Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Roles of Social Influence in Expediting Online Learning Acceptance: A Preliminary Study on Bangladeshi Learners

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      ICCA 2020: Proceedings of the International Conference on Computing Advancements
      January 2020
      517 pages
      ISBN:9781450377782
      DOI:10.1145/3377049

      Copyright © 2020 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 20 March 2020

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article
      • Research
      • Refereed limited

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader