Contextual Academic Achievement Analysis Affected by COVID-19 Pandemic of Higher Education Learners in Thailand Using Machine Learning Techniques

This research aims to present the context and impact that the Thai education system has experienced from the COVID-19 pandemic in Thailand. It consists of three research objectives: (1) to study the context of the impact on academic achievement from the COVID-19 pandemic in higher education, (2) to develop a model for clustering the academic achievement of students in higher education during the COVID-19 pandemic in Thailand, and (3) to compare the academic achievement of students in higher education during the COVID-19 pandemic in Thailand. The research data were 43,230 transactions (1961 students) from four educational programs at the Faculty of Business Administration and Information Technology, Rajamangala University of Technology Tawan-ok, the results showed that the context of the impact on the education system among tertiary learners has decreased in the number of graduates during the COVID-19 pandemic. However, students graduating during the COVID-19 pandemic in Thailand had higher levels of academic achievement than those in normal circumstances. The findings reflect those learners who achieved academic achievement during the COVID-19 pandemic were more persevering and tolerant than those in the traditional system. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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

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.