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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Feedback Preferences in Case-Base Construction for Intelligent Lab Tutor
verfasst von : Norzaidah Binti Md. Noh, Rubiyah Yusof, Osamu Ono, Toshiyuki Tojo
Erschienen in: AsiaSim 2014
Verlag: Springer Berlin Heidelberg
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Development of e-learning tools has been researched widely since 1900’s. Virtual laboratory (VL) has been one of the tools implemented, and it has given a great impact on student’s learning. However, the learning process become more challenging, as the students perform the experiments without any guidance from a human tutor. Consequently, this paper proposes the development of a case-based Intelligent Lab Tutor (ILT) to assist the learning process. The ILT is expected to provide scaffolding to students during their experiment sessions using the virtual lab. We intend to adopt student preferences as the initial case-base for the ILT. A questionnaire is distributed to a group of engineering students, and analyzed to identify students’ preferences in feedback type and frequency, given their performance in the experiment. The case representation is conceptualized at the end of this study.