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.
https://hal-amu.archives-ouvertes.fr/hal-01710136
Contributor : Ivan Madjarov <>
Submitted on : Thursday, February 15, 2018 - 4:09:46 PM Last modification on : Monday, March 30, 2020 - 8:41:27 AM
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⟩