Journal of Engineering Education Transformations

Abstract

Abstract : In this research, the factors that affect the computer science student's academic performance are investigated in the scenario of online learning induced by the COVID-19 pandemic. It is found that while staying at home, and getting tutored online, the academic achievement of the students of Computer Science gets affected by the following group of factors: Family characteristics (family causal factors), Student's academic characteristics, Social and personal characteristics, Psychological and Health Related Factors, Institutional characteristics, Teachers (academic causal factors), Perceptions about Online Learning, Perception about Computers. As opposed to the general usage of only the CGPA as a measure of the academic performance, this research introduces the online self-study time (OSST) as well, as a measure of the academic performance. A total of 170 students had responded to a questionnaire administered to them to assess the effects of the identified factors. The questionnaire was checked for reliability and validity as well, using construct reliability, indicator reliability, convergent validity, and discriminant validity. The students were from various semesters of Bachelor of Computer Science degree program. The questionnaire data is subjected to the multinomial logistic regression analysis. Results have shown that there is relation that exists between the identified factors and the academic performance of the students that is reflected in their CGPA and the OSST.

Keywords : COVID-19, Academic performance, Online learning, Online Self-study Time (OSST).