A system modeling approach to simulate post-COVID-19 student intention to use online learning platforms
International Journal of Information and Learning Technology
ISSN: 2056-4880
Article publication date: 3 February 2023
Issue publication date: 30 January 2024
Abstract
Purpose
The purpose of this paper is to apply systems modeling to explore the usability of the online learning platform in the future compared to its usefulness during the pandemic era.
Design/methodology/approach
The applied systems research methodology has been used to develop a stock-flow model encompassing enablers and constraints for learning platform usage from the primary data collected through a survey of 163 respondents.
Findings
The model simulation observed promising trends over one year for online learning platforms provided the challenges are reduced in seven to eight months. Challenges linked to the Internet and interaction need must be removed for future usage.
Research limitations/implications
The results of the survey and model simulation suggest actions for product planning and development of online learning platforms based on customer insights. Product customization and feature enhancement will be required for the continued usability of online learning products. Actions for Internet service providers are to capture the online learner market by removing issues of Internet access bandwidth, and quality of content. Also, there should be sufficient teacher–student interaction in the online learning mode.
Originality/value
This is an original study using systems modeling to evaluate factors contributing to students' intention to use online learning conducted at Dayalbagh Educational Institute (Deemed to be University) Dayalbagh Agra, UP, India, 282005.
Keywords
Acknowledgements
The authors would like to humbly express gratitude to Revered Professor Prem Saran Satsangi, Chairman Advisory Committee on Education, Dayalbagh Educational Institute (Deemed to be University) for intuitive guidance in the area of systems research and its application in solving real-world problems.
The authors would like to express special thanks of gratitude to Prof. Sanjay Bhushan, Department of Management, Dayalbagh Educational Institute (Deemed to be University), Dayalbagh, Agra, India for his guidance and support in building this model.
The authors would also like to thank Mr. Apar Madan, Software Engineer-II, Google India for giving time in helping the authors give insight on the improvement suggestion suggested and how they can be helpful for Google products.
In the end the authors convey thanks and gratitude with special mention to all the respondents of the study who gave their valuable suggestions and feedback to make this a possibility.
Citation
Vatsa, R. and Bhatnagar, P. (2024), "A system modeling approach to simulate post-COVID-19 student intention to use online learning platforms", International Journal of Information and Learning Technology, Vol. 41 No. 1, pp. 21-35. https://doi.org/10.1108/IJILT-05-2022-0114
Publisher
:Emerald Publishing Limited
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