Educational Engineering for Models of Academic Success in Thai Universities During the COVID-19 Pandemic: Learning Strategies for Lifelong Learning

Author:

Nuankaew Wongpanya,Nuankaew PratyaORCID

Abstract

The Coronavirus epidemic 2019 has a serious impact on the education system of Thailand. Therefore, the research aims (1) to study and compare the academic achievement of higher education students affected by the situation of Corona Virus Disease 2019 (COVID-19) epidemic, (2) to construct an academic achievement model with educational engineering technology to support the learning management process of higher education institutions, and (3) to evaluate the academic achievement model. The research approaches were carried out according to the theory of data mining development using the CRISP-DM methodology (Cross-Industry Standard Process for Data Mining). The data collection was divided into two main parts according to the educational situation. The first part is a normal situation with data collected from 506 students form four courses during the second semester in the academic year of 2019. On the other hand, the second part is an abnormal situation with data collected from 475 students from four courses during the first semester in the academic year of 2020. From the research results and findings, the researchers believe that both of the traditional and online teaching and learning management enabled learners to make an academic achievement. It is imperative that the teacher is aware of the learner’s importance to graduate on time. For the future, the researcher needs to present the findings to the stakeholders in order to prepare for the unexpected situation.

Publisher

International Association of Online Engineering (IAOE)

Subject

General Engineering,Education

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. MIMIC model of teachers and students attitudes towards online learning during Covid-19: A gender perspective;Knowledge Management & E-Learning: An International Journal;2023-06-10

2. Predictive Model for Clustering Learning Outcomes Affected by COVID-19 Using Ensemble Learning Techniques;International Journal of Educational Methodology;2023-05-15

3. Online education of engineering students: Educational platforms and their influence on the level of academic performance;Education and Information Technologies;2023-04-26

4. Applying Data Mining in Graduates’ Employability;International Journal of Engineering Pedagogy (iJEP);2023-03-21

5. Impact of homogeneous use of virtual classrooms based on a management model for teaching-learning processes;2023 IEEE World Engineering Education Conference (EDUNINE);2023-03-12

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