[4J2-GS-2] Machine learning: Clustering

[4J2-GS-2-04] A study of programming learning improvement using eye tracker

〇Taichi Sakai¹, Shoichi Urano¹ (1. Meiji University)

Keywords:eye-tracking, programming education, clustering

In this paper, we measure gaze data using eye tracker at the time of answering a programming test, and aim to improve the education of programming learning focusing not only on the answer result of the question but also on the answer process. The answer process was divided into an understanding phase and an answer phase, and classification and feature extraction were performed using clustering for each.