Perception and Attitude Toward Self-Regulated Learning in Educational Data Mining

Abstract

The Self-Regulated Learning (SRL) strategies can be the best achieved by achieving a sub-goal that will lead to a broader future in the younger generation. This paper proposes the process of developing factors (attributes) related to the development of learning styles through SRL strategies. The objectives of this paper are (1) to study the perception and attitude toward the attributes of students with SRL 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. The results show that the two tools have proved that the respondents accept the factors of SRL in the accepted level. Besides, the results show that Thai higher education students still focus on formal learning. For the future, the authors aim to develop and apply an SRL strategies model with a combination of collaborative learning strategies of blended learning for undergraduate students.