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Machine Learning-based Prediction of Student’s Grades using One-minute Papers
PROCEEDINGS

, , Kanazawa Institute of Technology, Japan

E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Kona, Hawaii, United States Publisher: Association for the Advancement of Computing in Education (AACE), San Diego, CA

Abstract

The prediction of student’s grade will help the learning of the students. We proposed an automatic grade prediction system based on machine learning. The system learns the correlation between the sentences of one-minute papers that the student wrote in every class, and the achievement of the student in the lecture of the last semester. Once the learning completed, the system can predict the grades of the students of current semester using one-minute papers written by the students. The teachers will be helped by the system, which alerts potentially failing students. Currently the system is under development and we are planning to use the system in our lecture named “Fundamental Programing”, which is for the first year students of Department of Media Informatics, Kanazawa Institute of Technology.

Citation

Ohsako, K. & Yamagishi, Y. (2015). Machine Learning-based Prediction of Student’s Grades using One-minute Papers. In Proceedings of E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 1162-1164). Kona, Hawaii, United States: Association for the Advancement of Computing in Education (AACE). Retrieved November 13, 2019 from .

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