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Proceedings of the 2022 International Conference on Research in Management & Technovation

Annals of Computer Science and Information Systems, Volume 34

Social Capital development amongst college and university students in online and classroom education

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DOI: http://dx.doi.org/10.15439/2022M9527

Citation: Proceedings of the 2022 International Conference on Research in Management & Technovation, Viet Ha Hoang, Vijender Kumar Solanki, Nguyen Thi Hong Nga, Shivani Agarwal (eds). ACSIS, Vol. 34, pages 1–5 ()

Full text

Abstract. Social capital is linked to academic performance and education satisfaction, and also forms the foundation of students' future business networks. It is postulated that social capital development amongst college and university students is influenced by education delivery modes in the form of online and classroom education. The Covid-19 pandemic that started in March 2022 and subsequent prolonged periods of physical lockdowns in many countries has forced colleges and universities that customarily practice classroom education to shift to online education temporarily. This situation has created a ``natural experiment'' whereby classes or programs from the same college or university that were previously conducted in classrooms (in-person) are now conducted online. There are three (3) objectives of this research. First objective is to investigate and determine the social capital development of students in online education. Second objective is to analyse the influence of social capital on students' academic success and education satisfaction. Third objective is to generate and propose policies to foster social capital development. A quantitative research approach is employed and the respondent pool comprises students from colleges and universities in Malaysia. The data gathering instrument is an online questionnaire administered with the informed consent of participants. Approximately 300 participants is targeted, which exceeds the statistical minimum requirement of 166 participants. This enhanced respondent pool will further strengthen the accuracy, validity and robustness of the data analysis, findings and recommendations. The variables include Family Capital, Faculty Capital, Peer Capital, Academic Performance and Education Satisfaction. The data will be analyzed with appropriate statistical tools such as structural equation modeling (SEM). The anticipated findings are envisaged to generate policies on promoting social capital development among students in colleges and universities internationally.

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