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Toward Learning Support for Decision Making: Utilization of Library and Lecture Data

  • Toshiro Minami
  • Yoko Ohura
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 16)

Abstract

Supporting students’ learning is very important for a university as an educational organization. It is highly expected to give supports individually according to each student’s situation such as his or her knowledge, study skills, learning history, preferences, etc. Due to the development of information and communications technology including Web and Internet, it becomes popular and easy to automatically collect data, and to analyze them and extract knowledge and information about the users’ behavior and preferences. For example, the net-companies, such as the ones proving e-commerce services, utilize the customers’ behavior data for extracting marketing information. Quite a lot of universities that provide institutional repository (IR) service try to analyze the log data in order to understand and evaluate what the service means for them. The data relating to library services are also useful for library marketing, which aims to provide better user, or patron, services and to improve management. In this paper, we discuss the importance of data analysis of the data relating to lecture data of university classes together with library data.

Keywords

Learn Support Faculty Group Expertise Level American Market Association Class Student 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Kyushu Institute of Information SciencesDazaifuJapan
  2. 2.Kyushu University LibraryHigashi-kuJapan

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