OpenLA: Library for efficient E-book log analysis and accelerating learning analytics

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

抄録

This paper introduces an open source library for e-Book (digital textbook) log analysis, called OpenLA. An e-Book system is a useful system which records learning logs. Various analysis using these logs have been conducted. Although there are many common processes in preprocessing logs, the functions have been developed by per researcher. To reduce such redundant development, OpenLA provides useful modules to load course information, to convert learning logs into a more sophisticated representation, to extract the required information, and to visualize the data. OpenLA is written in the Python language and compatible with other Python libraries for analysis. This paper provides a brief explanation of each module, followed by re-implementation samples of related studies using OpenLA. The details about OpenLA is open to public at https://www.leds.ait.kyushu-u.ac.jp/achievements.

本文言語英語
ホスト出版物のタイトルICCE 2020 - 28th International Conference on Computers in Education, Proceedings
編集者Hyo-Jeong So, Ma. Mercedes Rodrigo, Jon Mason, Antonija Mitrovic, Daniel Bodemer, Weichao Chen, Zhi-Hong Chen, Brendan Flanagan, Marc Jansen, Roger Nkambou, Longkai Wu
出版社Asia-Pacific Society for Computers in Education
ページ301-306
ページ数6
ISBN(電子版)9789869721455
出版ステータス出版済み - 11 23 2020
イベント28th International Conference on Computers in Education, ICCE 2020 - Virtual, Online
継続期間: 11 23 202011 27 2020

出版物シリーズ

名前ICCE 2020 - 28th International Conference on Computers in Education, Proceedings
1

会議

会議28th International Conference on Computers in Education, ICCE 2020
CityVirtual, Online
Period11/23/2011/27/20

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Computer Science Applications
  • Education

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