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Unethical practices in online classes during COVID-19 pandemic: an analysis of affordances using routine activity theory

Author

Listed:
  • Hazra, Ummaha
  • Priyo, Asad Karim Khan

Abstract

Purpose: While online classes have enabled many universities to carry out their regular academic activities, they have also given rise to new and unanticipated ethical concerns. We focus on the“dark side” of online class settings and attempt to illuminate the ethical problems associated with them. The purpose of this study is to investigate the affordances stemming from the technology-user interaction that can result in negative outcomes. We also attempt to understand the context in which these deleterious affordances are actualized. Design/methodology/approach: We obtain the data from narratives written by students at a top private university in Bangladesh about their experiences of online classes and exams and from focus group discussions with them. We use the lens of affordance theory to identify the abilities that goal-oriented actors – primarily students – obtain from the technology-user interactions, which result in negative outcomes. We also attempt to understand the contextual actualization of those affordances through the lens of Routine Activity Theory (RAT). Findings: We find three deleterious affordances and three associated deviant outcomes. Nonmonitorability which results in academic dishonesty, disguiseability which results in cyber-truancy, and intrudeability which results in embarrassment and harassment. Our findings reveal a deeper underlying problem with the existing educational approach in the universities of Bangladesh and suggest that there is a need to introduce more modern teaching techniques focused on issues such as student engagement and interactive learning. Originality/value: To the best of our knowledge, this is the first paper that combines affordance theory with RAT to identify unethical practices observed in online class settings in the context of a least developed country like Bangladesh and to examine the environmental components that give rise to the pre-conditions for the unethical practices to surface.

Suggested Citation

  • Hazra, Ummaha & Priyo, Asad Karim Khan, 2022. "Unethical practices in online classes during COVID-19 pandemic: an analysis of affordances using routine activity theory," MPRA Paper 117853, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:117853
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    References listed on IDEAS

    as
    1. Lena Waizenegger & Brad McKenna & Wenjie Cai & Taino Bendz, 2020. "An affordance perspective of team collaboration and enforced working from home during COVID-19," European Journal of Information Systems, Taylor & Francis Journals, vol. 29(4), pages 429-442, July.
    2. T. S. Ragu-Nathan & Monideepa Tarafdar & Bhanu S. Ragu-Nathan & Qiang Tu, 2008. "The Consequences of Technostress for End Users in Organizations: Conceptual Development and Empirical Validation," Information Systems Research, INFORMS, vol. 19(4), pages 417-433, December.
    3. Yolande Reyneke & Christina Cornelia Shuttleworth & Retha Gertruida Visagie, 2021. "Pivot to online in a post-COVID-19 world: critically applying BSCS 5E to enhance plagiarism awareness of accounting students," Accounting Education, Taylor & Francis Journals, vol. 30(1), pages 1-21, January.
    4. Davison, Robert M., 2020. "The Transformative Potential of Disruptions: A Viewpoint," International Journal of Information Management, Elsevier, vol. 55(C).
    5. David Romer, 1993. "Do Students Go to Class? Should They?," Journal of Economic Perspectives, American Economic Association, vol. 7(3), pages 167-174, Summer.
    6. Durden, Garey C & Ellis, Larry V, 1995. "The Effects of Attendance on Student Learning in Principles of Economics," American Economic Review, American Economic Association, vol. 85(2), pages 343-346, May.
    7. Jennjou Chen & Tsui-Fang Lin, 2008. "Class Attendance and Exam Performance: A Randomized Experiment," The Journal of Economic Education, Taylor & Francis Journals, vol. 39(3), pages 213-227, July.
    8. Nicholas Walker & Kristy Holtfreter, 2015. "Applying criminological theory to academic fraud," Journal of Financial Crime, Emerald Group Publishing Limited, vol. 22(1), pages 48-62, January.
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    Keywords

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    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I29 - Health, Education, and Welfare - - Education - - - Other
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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