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Exploring Dimensions Of Changing Pedagogies And Challenges Faced By Students In Applying New Media Technologies In Learning

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  • Rendani Sipho Netanda

    (University of South Africa, South Africa)

Abstract

The need to stay abreast in knowledge economy has led to migration from Open Distance Learning to Open Distance e-Learning at UNISA. Central to this pedagogical change has been the fast advancement in the technological universe, with new media technologies being widely adopted across the globe for bridging the transactional distance between students and the OdeL institution. Using the unified theory of acceptance and use of technology as its theoretical lens, the study sought to find answers to the following question: What challenges do NMTS present to OdeL students as they learn using them? The aim is to explore the challenges that OdeL students experience when using new media technologies in learning. Data was collected using in-depth interviews with learners. During data analysis, thematic categorisation was used. The study divulged that the many of students from far-flung rural areas still have limited access to NMTs, which impact on their academic performance, and result in low retention and success rates. This finding suggests that for an ODL institution to achieve an increased probability to retain students and success rate, it must support them with access to NMTs. It further suggests that access to NMTs may help students do better in and to complete their studies. These findings unmasked that to bridge transactional distance, ODL institutions must support students, particularly those who are from rural areas by providing them with NMTs. The study limited its focus to UNISA’s Durban hub.

Suggested Citation

  • Rendani Sipho Netanda, 2024. "Exploring Dimensions Of Changing Pedagogies And Challenges Faced By Students In Applying New Media Technologies In Learning," Annals of the University of Craiova for Journalism, Communication and Management, Department of Communication, Journalism and Education Sciences, University of Craiova, vol. 10(1), pages 24-32, December.
    • Handle: RePEc:edt:aucjcm:v:10:y:2024:i:1:p:24-32
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    References listed on IDEAS

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    1. Sung S. Kim & Naresh K. Malhotra, 2005. "A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena," Management Science, INFORMS, vol. 51(5), pages 741-755, May.
    2. Andrei STANCIU & Florin MIHAI & Ofelia ALECA, 2012. "Social Networking as an Alternative Environment for Education," Journal of Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, vol. 11(1), pages 56-75, March.
    3. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
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    More about this item

    Keywords

    Digital migration; new media technologies; distance education; open and distance learning; retention; student access;
    All these keywords.

    JEL classification:

    • Z0 - Other Special Topics - - General

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