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[Vol.25 No.1] Heejoo PARK, Sunyoung BU, Jihoon RYOO (2024) A Study on the Effectiveness of LMS for Improving College Student’s Mathematics Performance using a Propensity Score Matching Method
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  • 2024-04-30 19:10:52

This study aims to verify the practical effectiveness of learning management system (LMS) by introducing a LMS enhancing digital assessment utilizing automatic item generation in order to strengthen college student’s mathematics performance. Teaching assisted with digital assessment in the LMS was applied to college mathematics classes, and the research question is whether or not students in the classes utilizing the LMS perform better than the regular classes. In particular, a calculus course, which is the foundation of important artificial intelligence technology in the future, was utilized in this study. The participants of this study were 248 freshmen in science and engineering who were taking calculus courses at a small to mid-size university. A total of 156 freshmen were selected after applying a propensity score matching method (PSMM), 78 from classes utilizing the LMS and 78 from regular classes without the LMS assisted with the digital assessment. As a result, it was found that there was a statistically significant difference in the math academic growth of students who used the LMS and those who did not. In other words, when LMS was used in calculus, students' academic growth was greater. The results of this study are meaningful in that they observed students' academic growth and confirmed that LMS enables a positive role in students' academic growth. In addition, if digital assessment is strengthened and LMS that enables individualized learning analysis is introduced and implemented in educational institutions, it is expected to play a major role in strengthening students' academic performance. 

 

Keywords : Automatic Item Generation, College Student’s Mathematics Performance, Digital Assessment, Learning Management System, Propensity Score Matching Method  

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이전글 [Vol.25 No.1] Dasom KIM Gyeoun JEONG(2024) Predicting Learning Achievements with Indicators of Perceived Affordances Based on Different Levels of Content Complexity in Video-based Learning
다음글 [Vol.25 No.1] Jieun LEE, Yugyeong KIM, Hyunwoo HWANG (2024) Development of a Structured Debriefing for Business Simulation Games and Its Effect on College Students' Business Knowledge and Entrepreneurship Competencies
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