Region-wise page difficulty analysis using eye movements

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

1 被引用数 (Scopus)

抄録

In this study, we investigated which section of a page was difficult for students to read, based on eye movement data and subjective impressions of the page's difficulty, with the aim of helping teachers revise teaching materials. It is problematic to manually model relationships between eye movements and subjective impressions of the page's difficulty. Therefore, in this study, we used a neural network to model the relationships automatically. Our method generated relevance maps representing locations where students found difficulty, in order to visualize region-wise page difficulty. To evaluate the quality of the relevance maps, we compared them with a distribution of gaze points and highlights added by the students. In addition, we administered a questionnaire to evaluate whether the relevance maps were useful to teachers when revising teaching materials. Results imply that our method can provide useful information for teachers making revisions to teaching materials.

本文言語英語
ホスト出版物のタイトル16th International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2019
出版社IADIS Press
ページ109-116
ページ数8
ISBN(電子版)9789898533937
出版ステータス出版済み - 1 1 2019
イベント16th International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2019 - Cagliari, イタリア
継続期間: 11 7 201911 9 2019

出版物シリーズ

名前16th International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2019

会議

会議16th International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2019
国/地域イタリア
CityCagliari
Period11/7/1911/9/19

All Science Journal Classification (ASJC) codes

  • 人工知能
  • コンピュータ サイエンスの応用
  • 教育

フィンガープリント

「Region-wise page difficulty analysis using eye movements」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル