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Application of Learning Analytics in University Mathematics Education


Affiliations
1 Department of Mechatronics, Tomgmyong University, Korea
2 Tongmyong University, Korea
3 Department of Information Security, Tongmyong University, Korea
 

Objectives: The method of learning analytics was applied to Mathematics in a college course. Methods/Statistical Analysis: For one semester, Naver Cafe had been managed in a manner of question and answer and data were collected. Findings: The data were analyzed in terms of the correlation between the number of utilization and grade and pattern of study and we figured out which chapter is difficult for students. The results tell us that higher the number the students access to Café, higher the score they gained. Improvements/Applications: This method is able to apply for other subjects and further, various learning-methods should be developed in the future.

Keywords

Big Data, Education Engineering, Learning Analytics, Mathematics, Mathematics Education.
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  • Application of Learning Analytics in University Mathematics Education

Abstract Views: 169  |  PDF Views: 0

Authors

Dong Ryool Kim
Department of Mechatronics, Tomgmyong University, Korea
Jeong-Phil Hue
Tongmyong University, Korea
Seung-Soo Shin
Department of Information Security, Tongmyong University, Korea

Abstract


Objectives: The method of learning analytics was applied to Mathematics in a college course. Methods/Statistical Analysis: For one semester, Naver Cafe had been managed in a manner of question and answer and data were collected. Findings: The data were analyzed in terms of the correlation between the number of utilization and grade and pattern of study and we figured out which chapter is difficult for students. The results tell us that higher the number the students access to Café, higher the score they gained. Improvements/Applications: This method is able to apply for other subjects and further, various learning-methods should be developed in the future.

Keywords


Big Data, Education Engineering, Learning Analytics, Mathematics, Mathematics Education.



DOI: https://doi.org/10.17485/ijst%2F2016%2Fv9i46%2F129285