An advanced search system for learning objects

  • Authors:
  • Kazumi Nemoto;Yutaka Watanobe

  • Affiliations:
  • University of Aizu, Aizu-Wakamatsu, Fukushima;University of Aizu, Aizu-Wakamatsu, Fukushima

  • Venue:
  • Proceedings of the 13th International Conference on Humans and Computers
  • Year:
  • 2010

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Abstract

This paper presents an advanced search system which enables end users to search for information stored in an e-learning system. Records in a database deployed in the e-learning system are mapped to the learning objects, which include problems, users, submission records, accepted solutions, contests (exercises), problem setters, and so on. The system employs a query-by-object (QBO) approach, where users do not need special knowledge of conventional SQL query writing. This paper presents a general overview of the e-learning system as well as the QBO approach for the system and its system architecture. Demonstration of the system and its usability are also discussed.