Student Perceptions and Student Performance through Active Learning in Enterprise Resource Planning Course
This research is a report of the students’ perspective on the active learning activities, a report of the learning model development of recommendation activities, and propose methods for suggesting student activities using active learning strategies in the Enterprise Resource Planning (ERP) course. The research approaches are three main steps: The first step is the study of the students’ perception towards the activities in the Enterprise Resource Planning (ERP) course. The second step is to construct an activity recommendation model for students using data mining techniques and machine learning tools for model analysis. Finally, the last step is to propose methods for suggesting appropriate active learning activities for students in the Enterprise Resource Planning (ERP) course. The data collection is from135 students enrolled in the Enterprise Resource Planning (ERP) course, which was organized during the year 2016-2019 at the Faculty of Business Administration and Information Technology, Rajamangala University of Technology Tawan-Ok, Bangkok, Thailand. The research results reflect three main objectives: (1) The learners have a high perception level of the lesson, and a high level of satisfaction toward the lesson, in which the overall satisfaction is at 4.02 (S.D. = 0.74). (2) An activity recommendation model for students is highly performance with highly accuracy of the model testing (82.31%). (3) There are three active learning strategies that are accepted with this research, including explore attitudes towards prepared questions, clustering learners as reasonable and propose appropriate activities according to the research model, and gather satisfaction toward the course activities for further improvement.
Keywords: Educational Data Mining, Learning Model, Learning Strategies, Active Learning, Students’ Perception