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Tuesday, March 01, 2005
A Learning Object Approach to Personalized Web-based Instruction - Mohammad Issack Santally and Alain Senteni, EURODL
The concept of web-based learning and the use of the Internet in teaching and learning have received increasing attention over the recent years. It is postulated that one of the main problems with e-learning environments is their lack of personalisation (Cristea, 2003; Rumetshofer & Wöß, 2003; Ayersman & Minden, 1995). The concept of extending the learning object metadata to cater for psychological factors has been proposed by Rumetshofer & Wöß (2003). In this article, the latters’ approach has been extended in three ways: (1) More factors relating to individual differences are included in the metadata extension as well as fields related to the pedagogical value and level of difficulty of the learning content, (2) The introduction of fuzzy (or belief) values for each aspect that is modelled, (3) A mechanism is provided to adapt to changing attitudes, characteristics and performance of a student both in the student model and in the learning object attributes model. A method is devised to select the most appropriate learning object from a pool of potential objects that exist in the repository and a first evaluation of the proposed algorithm is carried out and reported in the article.
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