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Computational Modeling and Assessment of Acceptance Level of Virtual Learning Platforms

by William Akotam Agangiba, Millicent Agangiba, George Essah Yaw Okai
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 184 - Number 12
Year of Publication: 2022
Authors: William Akotam Agangiba, Millicent Agangiba, George Essah Yaw Okai
10.5120/ijca2022922108

William Akotam Agangiba, Millicent Agangiba, George Essah Yaw Okai . Computational Modeling and Assessment of Acceptance Level of Virtual Learning Platforms. International Journal of Computer Applications. 184, 12 ( May 2022), 49-54. DOI=10.5120/ijca2022922108

@article{ 10.5120/ijca2022922108,
author = { William Akotam Agangiba, Millicent Agangiba, George Essah Yaw Okai },
title = { Computational Modeling and Assessment of Acceptance Level of Virtual Learning Platforms },
journal = { International Journal of Computer Applications },
issue_date = { May 2022 },
volume = { 184 },
number = { 12 },
month = { May },
year = { 2022 },
issn = { 0975-8887 },
pages = { 49-54 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume184/number12/32380-2022922108/ },
doi = { 10.5120/ijca2022922108 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:21:19.269727+05:30
%A William Akotam Agangiba
%A Millicent Agangiba
%A George Essah Yaw Okai
%T Computational Modeling and Assessment of Acceptance Level of Virtual Learning Platforms
%J International Journal of Computer Applications
%@ 0975-8887
%V 184
%N 12
%P 49-54
%D 2022
%I Foundation of Computer Science (FCS), NY, USA
Abstract

One common challenge that comes with postgraduate studies is the fact that students usually have to combine studies with family, job and other personal and professional endeavours. Despite these challenges, the number of postgraduate students has seen massive increase in recent times as a result of job competitiveness and the need for knowledge creation. To cope with the large numbers in postgraduate supervision and to provide flexibility for the working class to acquire higher degrees, online postgraduate supervision has become common. However, research shows that several challenges confront virtual supervision for both the supervisor and the supervisee which include the feeling of isolation and attrition. This paper examines the challenges associated with technologies such as Virtual Learning Platforms (VLPs) for postgraduate supervision and proposes a computational technique for assessing key attributes of VLPs. A survey among 160 postgraduate students shows that students combine a variety of VLPs for communicating with their supervisors for reasons such as cost-effectiveness, technical-know-how and availability of means. The results reveal amalgamated factors that influence the choice of technologies used by supervisors and students. The findings further indicate that user-friendliness, attractiveness, transparency, interactivity and support are reasons why postgraduate students in Ghana mostly prefer social media platforms such as WhatsApp in interacting with their supervisors.

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Index Terms

Computer Science
Information Sciences

Keywords

Virtual Learning social media Internet Technology Postgraduate supervision Online Learning

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