Students Model in Different Learning Styles of Academic Achievement at the University of Phayao, Thailand

Pratya Nuankaew, Wongpanya Nuankaew, Kanakarn Phanniphong, Sasithon Imwut, Sittichai Bussaman

Abstract


Attitudes and learning styles can affect academic achievement at different levels. While analyzing attitudes and learning styles can not only use basic statistics, using advanced tools to analyze the students' in-depth elements is discussed. Therefore, this research offers an appropriate method for clustering academic achievement (GPA) that support student’s attitudes and learning styles. At the same time, this research is aimed to study the level of attitudes towards learning styles in different academic achievement of students at the University of Phayao. The data collection was conducted from 195 students from 17 schools and colleges at the University of Phayao, Thailand. The results show that there is a variety of cluster in students’ attitudes and learning styles with a significant pattern (types of success) of the students’ model, while the model performance has a very high efficiency to the model. In future work, it will be applied with other universities in Thailand and also used in developing applications for providing a program recommended for appropriate educational programs.

Keywords


Educational Data Mining; Students Model; Different Academic Achievement; Attitudes Data Mining

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Copyright (c) 2019 Pratya Nuankaew, Wongpanya Nuankaew, Kanakarn Phanniphong, Sasithon Imwut, Sittichai Bussaman


International Journal of Emerging Technologies in Learning (iJET) – eISSN: 1863-0383
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