지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.9 No.3
- 발행연도
- 2020.6
- 수록면
- 217 - 229 (13page)
- DOI
- 10.5573/IEIESPC.2020.9.3.217
이용수
초록· 키워드
오류제보하기
Education is crucial for the development of any country. Analysis of education datasets requires effective algorithms to extract hidden information and gain the fruitful results to improve academic performance. Multiple models were used to maximize the contribution to the education environment. In this study, we used the spot-checking algorithm to compare these methods and find the most effective method. We propose three main classes of education research tools: a statistical analysis method, machine learning algorithms, and a deep learning framework. The data were obtained from many high schools in Cambodia. We introduced feature selection techniques to figure out the informative features that affect the future performance of students in mathematics. The proposed ensemble methods of tree-based classifiers provide satisfiying results, and in that, random forest algorithm generates the highest accuracy and the lowest predictive mean squared error, thus showing potential in this prediction and classification problem. The results from this work can be used as recipe and recommendation for mining various material settings in improving high school student performance in Cambodia.
목차
Abstract
1. Introduction
2. Review of Previous Works
3. Research Methods
4. Data Collection and Preprocessing Tasks
5. Experimental Results and Analysis
6. Feature Selection
7. Discussion and Conclusion
References
참고문헌 (41)
참고문헌 신청
Sokkhey P / 2019 / Comparative Study of Prediction Models on High School Student Performance in Mathematics / Journal of IEIE Transaction on Smart Processing and Computing 8(5):394~404
Mohamed Z. G. A. / 2012 / The Factors Influence Students'Achievement in Mathematics : A Case for Libyan's Students / Australian Journal of Basic and Applied Science 17(9):1224~1230
Uysal S. / 2015 / Factors Affecting the Mathematics achievement of Turkish students in PISA 2012 / Academic Journals 10(12):1670~1678
Asanee Tongsilp / 2013 / A Path Analysis of Relationships between Factors with Achievement Motivation of Students of Private Universities in Bangkok, Thailand / Procedia-Social and Behavioral Sciences 88:229~238
Kilic S. / 2013 / Parental Influence on Students’ Mathematics Achievement : the Comparative Study of Turkey and best performer countries in TIMSS 2011 / Procedia-Social and Behavioral Sciences 106:2000~2007
Mohamed Z. G. A. / 2012 / The Factors Influence Students'Achievement in Mathematics : A Case for Libyan's Students / Australian Journal of Basic and Applied Science 17(9):1224~1230
Uysal S. / 2015 / Factors Affecting the Mathematics achievement of Turkish students in PISA 2012 / Academic Journals 10(12):1670~1678
Asanee Tongsilp / 2013 / A Path Analysis of Relationships between Factors with Achievement Motivation of Students of Private Universities in Bangkok, Thailand / Procedia-Social and Behavioral Sciences 88:229~238
Kilic S. / 2013 / Parental Influence on Students’ Mathematics Achievement : the Comparative Study of Turkey and best performer countries in TIMSS 2011 / Procedia-Social and Behavioral Sciences 106:2000~2007
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