Doctoral Virtual Supervisory Meeting: Engagement Optimization Strategies
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Date
2022-11-16
Journal Title
Journal ISSN
Volume Title
Publisher
American Journal of Education and Information Technology
Abstract
The emergence of COVID-19 has seen widespread adoption and use of virtual interaction in business, academic,
and other areas where hitherto their use was not imaginable just a few years ago. The adoption of virtual interactions has also
seen growth in a number of service providers as well as enhancement of the quality of interactions. However, this advancement in
virtual technologies does not guarantee their optimal use. This qualitative study’s main purpose was to explore discursive
practices that impact virtual meeting experiences as they take place during the course of the doctoral supervisory process in
Kenyan universities. The study used media richness theory and channel expansion theory to analyze the affordances of
computer-mediated communication presented to the user to conduct virtual meetings. Drawing upon survey and interview
transcripts, it was found that the choice of virtual meeting channel was based on the availability of technology and past
experience enhanced the perception of the effectiveness of virtual meetings. This study proposes strategies for enhancing the
virtual supervisory process based on the media richness theory, channel expansion theory, and research data. The strategy
addresses the aspects of management of risks, virtual meeting etiquettes, supervisory relationship, and confidentiality as well as
after the meeting follow-up. The proposed strategies will enhance academic interaction and can be used in similar interactions in
other fields.
Description
Journal Article
Keywords
Virtual Supervisory Meeting, Media Richness Theory, Channel Expansion Theory, Technology Affordance, Computer-Mediated Commu, nication
Citation
Owoche, P. O., Abuya, J. O. & Ong’anyi, P. O. (2022). Doctoral Virtual Supervisory Meeting: Engagement Optimization Strategies. American Journal of Education and Information Technology. 6 (2) pp. 119-124. doi: 10.11648/j.ajeit.20220602.18
