A System Modeling Approach to Simulate Post-COVID-19 Student Intention to Use Online Learning Platforms

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.