A visualization system for predicting learning activities using state transition graphs

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

6 被引用数 (Scopus)

抄録

In this paper, we present a system for visualizing learning logs of a course in progress together with predictions of learning activities of the following week and the final grades of students by state transition graphs. Data are collected from 236 students attending the course in progress and from 209 students attending the past course for prediction. From these data, the system constructs a state transition graph, where the prediction is based on the Markov property. We verify the performance of predictions by experiments in which the accuracy of prediction using the data of the course in progress and the one by 5-fold cross validation.

本文言語英語
ホスト出版物のタイトル14th International Conference on Cognition and Exploratory Learning in the Digital Age, CELDA 2017
編集者J. Michael Spector, Dirk Ifenthaler, Dirk Ifenthaler, Demetrios G. Sampson, Pedro Isaias, Luis Rodrigues
出版社IADIS Press
ページ173-180
ページ数8
ISBN(電子版)9789898533685
出版ステータス出版済み - 2017
イベント14th International Conference on Cognition and Exploratory Learning in the Digital Age, CELDA 2017 - Vilamoura, Algarve, ポルトガル
継続期間: 10月 18 201710月 20 2017

出版物シリーズ

名前14th International Conference on Cognition and Exploratory Learning in the Digital Age, CELDA 2017

会議

会議14th International Conference on Cognition and Exploratory Learning in the Digital Age, CELDA 2017
国/地域ポルトガル
CityVilamoura, Algarve
Period10/18/1710/20/17

!!!All Science Journal Classification (ASJC) codes

  • 人間とコンピュータの相互作用
  • 教育
  • コンピュータ サイエンスの応用

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