Development of personalized and context-aware model in learning log system

Mengmeng Li, Hiroaki Ogata, Bin Hou, Noriko Uosaki, Yoneo Yano

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

1 Citation (Scopus)

Abstract

In this paper, we describe a personalization and context-awareness model based on learning log system. It is able to notify the learners of the location-based knowledge surrounding him in accordance with both their needs and context, detect learners' learning styles using their context history and recommend learning objects for them regarding their learning styles. What's more, by monitoring learners' reaction on the recommendation message, the model can improve its prediction. We also conduct a preliminary experiment to observe what kind of benefits it can bring to learners. The results reveal most of the learners benefit from the context-based notification and learning-style based recommendation.

Original languageEnglish
Title of host publicationProceedings of the 19th International Conference on Computers in Education, ICCE 2011
Pages321-328
Number of pages8
Publication statusPublished - 2011
Externally publishedYes
Event19th International Conference on Computers in Education, ICCE 2011 - Chiang Mai, Thailand
Duration: Nov 28 2011Dec 2 2011

Other

Other19th International Conference on Computers in Education, ICCE 2011
CountryThailand
CityChiang Mai
Period11/28/1112/2/11

All Science Journal Classification (ASJC) codes

  • Education

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  • Cite this

    Li, M., Ogata, H., Hou, B., Uosaki, N., & Yano, Y. (2011). Development of personalized and context-aware model in learning log system. In Proceedings of the 19th International Conference on Computers in Education, ICCE 2011 (pp. 321-328)