Apr 18, 2016 · This paper presents an automatic and dynamic probabilistic approach for recommending learning objects for learning management systems, ...
An Automatic and Dynamic Approach for Personalized Recommendation of Learning Objects Considering Students Learning Styles: An Experimental Analysis. Dorça ...
Our approach is based on an expert system that implements a set of rules which classifies learning objects according to their teaching style, and then ...
The main aim here is to develop a recommender system which should help the learners to create learning units (scenarios) that are the most suitable for them.
... Personalized learning shows how each learner's pace of learning, instructional preferences, and learning objects are tailored to their specific needs.
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An approach for automatic and dynamic analysis of learning objects repositories through ontologies and data mining techniques for supporting personalized ...
This chapter depicts an application of evolutionary algorithms to discover students' learning styles based on the non-deterministic and non-stationary ...
An automatic and dynamic approach for personalized recommendation of learning objects considering students learning styles: an experimental analysis.
Aug 27, 2016 · A learning model is designed to achieve personalized learning experiences by selecting and sequencing the most appropriate learning objects.
This paper discusses an approach to personalize the content recommendation based on the learning style of the learner, where a rule-based expert system is ...