A Casebase of Intelligent Buildings for E-learning Systems

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Date

2006

Journal Title

Journal ISSN

Volume Title

Publisher

Energy Systems Laboratory (http://esl.tamu.edu)
Texas A&M University (http://www.tamu.edu)

Abstract

This paper presents the conceptual description of a knowledge base for teaching and learning the programme of MSc Intelligent Buildings, which is being developed at the University of Reading and being developed into a global Master degree program. The knowledge base aims to support currently used e-learning tools such as Blackboard, and to make a knowledge engine to facilitate other relevant research into intelligent buildings. A pilot knowledge base is introduced to demonstrate the usability and acceptability of the knowledge base, which is designed according to a standard classification of intelligent buildings and a generic knowledge format to regulate case collection and reuse in teaching and learning. This paper initially covers undetermined issues such as case-based teaching and learning in intelligent buildings related programs.

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Keywords

intelligent buildings, case method, e-learning, knowledge management

Citation