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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationICCE 2020 - 28th International Conference on Computers in Education, Proceedings
EditorsHyo-Jeong So, Ma. Mercedes Rodrigo, Jon Mason, Antonija Mitrovic, Daniel Bodemer, Weichao Chen, Zhi-Hong Chen, Brendan Flanagan, Marc Jansen, Roger Nkambou, Longkai Wu
PublisherAsia-Pacific Society for Computers in Education
Pages301-306
Number of pages6
ISBN (Electronic)9789869721455
Publication statusPublished - Nov 23 2020
Event28th International Conference on Computers in Education, ICCE 2020 - Virtual, Online
Duration: Nov 23 2020Nov 27 2020

Publication series

NameICCE 2020 - 28th International Conference on Computers in Education, Proceedings
Volume1

Conference

Conference28th 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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