Learning Management Impacted with COVID-19 at Higher Education in Thailand: Learning Strategies for Lifelong Learning

Pratya Nuankaew, Patchara Nasa-Ngium, Kanakarn Phanniphong, Oranan Chaopanich, Sittichai Bussaman, Wongpanya Sararat Nuankaew

Abstract


The COVID-19 situation has a serious global impact on the education system. Thus, the research purpose is aimed to construct the models of online learning strategies for Thailand students on learning management in the coronavirus 2019 scenario. The research methodology was conducted according to the process of the cross-industry standard process for data mining, known as the CRISP-DM model for developing the best research. The data collected 487 students from the University of Phayao (UP), and Rajabhat Maha Sarakham University (RMU) from the 1st semester in academic year 2020. The collected data has been agreed upon in accordance with research ethics. The results of the study revealed that the factors influencing the model consisted of 8 out of 38 attributes, with a high predictive accuracy (85.14%). Finally, the researchers can plan for the management of teaching and learning for students at the University of Phayao to solve the Coronavirus 2019 Scenario in the academic year 2021 and the future.

Keywords


online learning strategies; covid-19 impact; educational data mining; learning analytics modeling

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International Journal of Engineering Pedagogy (iJEP) – eISSN: 2192-4880
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