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Adaptive Learning Sequencing for Course Customization: A Web Service Approach

Abstract

We discuss a learning model that enables the creation of optimal learning strategies that suit learners' needs. A customized learning content is delivered to learners as managed sequences of learning activities which form a hierarchical structure that can be modeled by means of Petri Nets. Learning content customization is a dynamic process supported by a set of standards-based data models. The approach we adopted is implemented as Web services in a service-based learning architecture. Learning objects are sequenced according to learners' responses to exercises and questions.
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Dates and versions

hal-01710136 , version 1 (15-02-2018)

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Ivan Madjarov, Abdelkader Betari. Adaptive Learning Sequencing for Course Customization: A Web Service Approach. 2008 IEEE Asia-Pacific Services Computing Conference (APSCC), Dec 2008, Yilan, France. ⟨10.1109/APSCC.2008.297⟩. ⟨hal-01710136⟩
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