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Assembling Learning Objects for Personalized Learning: An AI Planning Perspective
March-April 2013 (vol. 28 no. 2)
pp. 64-73
Antonio Garrido, Universitat Politècnica de València
Eva Onaindia, Universitat Politècnica de València
The aim of educational systems is to assemble learning objects on a set of topics tailored to the goals and individual students' styles. Given the amount of available Learning Objects, the challenge of e-learning is to select the proper objects, define their relationships, and adapt their sequencing to the specific needs, objectives, and background of the student. This article describes the general requirements for course adaptation, the full potential of applying planning techniques on the construction of personalized e-learning routes, and how to accommodate the temporal and resource constraints to make the course applicable in a real scenario.
Index Terms:
Learning systems,Java,Intelligent systems,Electronic learning,Knowledge management,Context awarebess,e-learning,Learning systems,Java,Intelligent systems,Electronic learning,Knowledge management,Context awarebess,planning,applications and expert knowledge-intensive systems,personalized learning,education
Citation:
Antonio Garrido, Eva Onaindia, "Assembling Learning Objects for Personalized Learning: An AI Planning Perspective," IEEE Intelligent Systems, vol. 28, no. 2, pp. 64-73, March-April 2013, doi:10.1109/MIS.2011.36
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