6533b836fe1ef96bd12a077a

RESEARCH PRODUCT

The Application of Optimal Topic Sequence in Adaptive e-Learning Systems

Vija VagaleLaila Niedrite

subject

business.industryComputer scienceE-learning (theory)ComputingMilieux_COMPUTERSANDEDUCATIONArtificial intelligencecomputer.software_genrebusinesscomputerNatural language processingSequence (medicine)Test (assessment)Personalization

description

In an adaptive e-learning system an opportunity to choose a course topic sequence is given to ensure personalization. The topic sequence can be obtained from three sources: teacher-offered topic sequence that is based on teacher’s pedagogical experience; learner’s free choice that is based on indicated links between topics, and, finally, the optimal topic sequence acquisition method described in this article. The optimal topic sequence is based on previous learners’ experience. With the help of the optimal topic sequence method, data about previous learners’ course topic sequence and course results are obtained. After the data analysis the optimal topic sequence for the specific course is obtained based on the links between course topics. In this article the experimental test of this method is described.

yearjournalcountryeditionlanguage
2016-01-01
https://doi.org/10.1007/978-3-319-40180-5_24