Impact of Online Learning on the Performance of School Students during the Pandemic Period of Covid

P. Lankeshwara, Fernando Wwdp and Karunarathna Ipct
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P. Lankeshwara: Department of Management and Finance, Faculty of Management, Social Sciences and Humanities, General Sir John Kotelawala Defence University, Sri Lanka
Fernando Wwdp: Department of Management and Finance, Faculty of Management, Social Sciences and Humanities, General Sir John Kotelawala Defence University, Sri Lanka
Karunarathna Ipct: Department of Management and Finance, Faculty of Management, Social Sciences and Humanities, General Sir John Kotelawala Defence University, Sri Lanka

International Journal of Research and Innovation in Social Science, 2023, vol. 7, issue 9, 620-632

Abstract: The COVID-19 impacted the educational system in Sri Lanka as it has in many other nations worldwide. As a result, educational system has transitioned from traditional face-to-face classes to online classes. The primary goal of this research is to provide a comprehensive review of the impact of online learning on A/L students’ performance in the Kolonnawa educational division. Quantitative descriptive analysis, chi-square test and binary regression analysis were applied to the data acquired via structured questionnaire from A/L students in the Kolonnawa educational division to address the research questions. As the sample, 269 A/L students were selected. According to the findings, students’ participation, technology, expectations, ease of use, internet facility and stress are significantly associated with student’s performance. According to the results of the chi-square statistics, Students’ participation, instructor quality, course design, students’ expectations, technology, ease of use, and examination procedure had a significant association with the student’s performance. Moreover, students need help with online classes. The biggest problem they faced was the power cuts during the online courses. To improve Sri Lanka’s new standard education system, the study’s overall recommendations include organising seminars, training on new technologies, and awareness activities for educational stakeholders, providing incentives to purchase digital devices, and enhancing internet access. In addition, the results of the binary model demonstrate that when all variables are considered concurrently, the predictor variables identified as students’ participation, technology, expectations, ease of use, internet facility and stress are significantly associated with student’s performance.

Date: 2023
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