If on the one hand the individualised teaching approaches try to find the best sequence of learning resources capable of satisfying individual goals, preferences and contexts, the intuitive guided learning approaches, on the other hand, envisages a non-linear learning experience where each learner can chose a personal path across the material according to his/her interests and preferences. In this paper we present a model, a methodology and a software prototype that is able to combine the advantages of both approaches by introducing the concept of 'compound learning resource': complex didactic artefacts where content is organised in pages and navigation among pages is user-driven. The pages are linked through semantic connections that have a two-fold function: they guide the learners' navigation, and allow the dynamic adaptation of the resource according to learners' needs and preferences (individualisation). Experimental results with real users in a university context are also presented as well as a comparison with similar systems. © 2014 Inderscience Enterprises Ltd.
Semantically connected learning resources fostering intuitive guided learning
Capuano N.;
2014-01-01
Abstract
If on the one hand the individualised teaching approaches try to find the best sequence of learning resources capable of satisfying individual goals, preferences and contexts, the intuitive guided learning approaches, on the other hand, envisages a non-linear learning experience where each learner can chose a personal path across the material according to his/her interests and preferences. In this paper we present a model, a methodology and a software prototype that is able to combine the advantages of both approaches by introducing the concept of 'compound learning resource': complex didactic artefacts where content is organised in pages and navigation among pages is user-driven. The pages are linked through semantic connections that have a two-fold function: they guide the learners' navigation, and allow the dynamic adaptation of the resource according to learners' needs and preferences (individualisation). Experimental results with real users in a university context are also presented as well as a comparison with similar systems. © 2014 Inderscience Enterprises Ltd.File | Dimensione | Formato | |
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2014 IJCEELL p1 (offprint).pdf
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