A Proposal of Detection Function of Degree of Understanding from Quiz Responses in Course Management Systems

• Published in: Journal of Learning Analytics Vol. 2; pp. 1 - 10
• Main Author: KATO, Toshiyasu
• Format: Journal Article
• Language: Japanese
• Published: Japanese Society for Learning Analytics 2018; 特定非営利活動法人 学習分析学会
• Subjects: Course Management System; Face-to-Face lesson; Learning Analytics; Learning History; Quiz; 学習分析; 学習履歴; 対面授業; 小テスト; 授業支援システム
• ISSN: 2436-6862
• DOI: 10.51034/jasla.2.0_1

This paper proposes a function that analyses the quiz results and determines the content that a student has not sufficiently understood. This information is subsequently presented to the teacher. The proposed function statistically tests for differences in systematically classified correct answer rates and detects which of the studied content has significantly low correct answer rates. The results of an evaluation experiment showed that 86% of the content that was determined to have been understood insufficiently had been explained by the teacher. This result demonstrates that the proposed function is useful in enabling teachers to accurately ascertain which parts of the studied content have not been sufficiently understood.