Share Paper: Detecting Learners' Hesitation in Solving Word-Reordering Problems with Machine Learning for Classification

  1. Yoshinori Miyazaki, Shizuoka University, Japan
  2. Naho Atsumi, Shizuoka University, Japan
  3. Mitsumasa Zushi, Shizuoka University, Japan
  4. Ken Norizuki, Shizuoka Sangyo University, Japan
Thursday, June 30 2:00-2:30 PM Pavilion Ballroom C

Abstract: The aim of our present study is to develop a system to apprehend when learners hesitate in the process of solving English word-reordering problems. Learners' hesitation would be, when detected, an important clue to know learners' lack of knowledge needed to solve the problems. Our system provides an interface with which learners perform tasks of reordering given words by the use of mouse drag-and-drops, and it also records learners' study logs of mouse movements and behaviors. In this study, regarding the problem of detecting hesitation as a classification problem of study logs into two labels, or, "hesitating" and "not hesitating," ...