Perception and Attitude Toward Self-Regulated Learning of Thailand’s Students in Educational Data Mining Perspective


  • Wongpanya Sararat Nuankaew Faculty of Information Technology, Rajabhat Mahasarakham University
  • Pratya Nuankaew School of Information and Communication Technology, University of Phayao
  • Direk Teeraputon Faculty of Education, Naresuan University
  • Kanakarn Phanniphong Faculty of Business Administration and Information Technology, Rajamangala University of Technology Tawan-Ok
  • Sittichai Bussaman Faculty of Science and Technology, Rajabhat Mahasarakham University



self-regulated learning strategies, educational model, student model, learning style, data mining in education


The Self-Regulated Learning (SRL) strategies can be the best. It can be achieved by a sub-goal that will be more important in the younger generation. This paper proposes the process of developing factors (attributes) which are related to the development of learning styles through self-regulated strategies. The objectives of this paper are (1) to study the perception and attitude toward the attributes of students with self-regulated learning of the students in higher education, and (2) to find the level of acceptance towards the factor of SRL using applied statistics and machine learning technology. The results show that two tools have proved the respondents and the factors of SRL in the accepted level. Besides, the results found that Thai higher education students still focus on formal learning, which conflicts with the behavior and us-age of Internet and telephone in the classroom. In future work, the author is committed to develop and apply a self-regulated learning strategy model with a combination of collaborative learning strategies of blended learning. Also, it supports undergraduate students in analyzing the factors and studying the behavior patterns of learners in suitable modern learning.




How to Cite

Nuankaew, W. S., Nuankaew, P., Teeraputon, D., Phanniphong, K., & Bussaman, S. (2019). Perception and Attitude Toward Self-Regulated Learning of Thailand’s Students in Educational Data Mining Perspective. International Journal of Emerging Technologies in Learning (iJET), 14(09), pp. 34–49.