SCROLL Dataset in the Context of Ubiquitous Language Learning

Authors

  • Hiroaki OGATA Academic Center for Computing and Media Studies, Kyoto University, Japan Author
  • Kousuke MOURI Institute of Engineering, Tokyo University of Agriculture and Technology, Japan Author
  • Noriko UOSAKI Center for International Education and Exchange, Osaka University, Japan Author
  • Mohammad Nehal HASNINE Academic Center for Computing and Media Studies, Kyoto University, Japan Author
  • Victoria ABOU-KHALIL Academic Center for Computing and Media Studies, Kyoto University, Japan Author
  • Brendan FLANAGAN Academic Center for Computing and Media Studies, Kyoto University, Japan Author

Abstract

This paper introduces SCROLL dataset, a dataset that consists of foreign language learners lifelong learning experiences (i.e. lifelogs). Logs are chronologically collected from a context-aware ubiquitous language learning system called SCROLL (System for Capturing and Reminding of Learning Logs). The dataset contains ubiquitous learning logs from the period of November 2009 to March 2018 (except the years 2015 and 2016). Furthermore, we propose some baseline approaches using the provided information from the dataset. With these baselines, we target at providing references for other approaches that intends to solve problems in the domains of educational technology. The dataset can be used for educational research purposes, particularly for knowledge discovery using learning analytics and educational data mining strategies.

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Published

2018-11-26

How to Cite

SCROLL Dataset in the Context of Ubiquitous Language Learning. (2018). International Conference on Computers in Education. http://library.apsce.net/index.php/ICCE/article/view/3805