[4G1-GS-2j] 機械学習：要素技術

[4G1-GS-2j-04] A study of trend analysis of gaze data for feature extraction

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

Keywords:Gaze data, Self-organizing map, Clustering

In this paper, we aim to improve the education of programming learning focusing not only on the answer result of the test but also on the answer process, based on the fact that the instructor gives guidance while checking the answer process in the educational field. As one of the methods for analyzing the answering process, gaze data at the time of answering a programming test measured by eye tracker is analyzed. We analyzed the tendency of the answering process seen in each of the correct and incorrect answerers from the ratio of the gaze time to the total time, and extracted the features.