Proficiency Evaluation e-Learning System for Using Machine Learning Technique

ID: 49708 Type: Brief Paper
  1. Toshiyuki Maeda, Sho Yoneda, and Mikuni Totani, Hannan University, Japan

Monday, November 14 4:20-4:40 PM Location: Edison C View on map

Presider: Takashi Yokoyama, Shinshu University, Japan

Abstract: This paper presents an e-learning system which allows students to proceed self learning with proficiency evaluation. In this system, not only questions but also students are classified in certain levels using machine learning technique, and then students can understand where they are by themselves. We develop a prototype and have some experiments, and discuss the results.


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