Autors: Rozeva, A. G., Delijska, B.P.
Title: Multidimensional (OLAP) Analysis for Designing Dynamic Learning Strategy
Keywords: -learning, Intelligent learning system, On-line analytical processing (OLAP), Learning strategy

Abstract: Learning strategy in an intelligent learning system is generally elaborated on the basis of assessment of the following factors: learner’s time for reaction, content of the learning object, amount of learning material in a learning object, learning object specification, e-learning medium and performance control. Current work proposes architecture for dynamic learning strategy design by implementing multidimensional analysis model of learning factors. The analysis model concerns on-line analytical processing (OLAP) of learner’s data structured as multidimensional cube. Main components of the architecture are analysis agent for performing the OLAP operations on learner data cube and expert agent for performing adaptive navigation in the knowledge cube data. The output of both cubes processing is involved in dynamic elaboration of learning strategy that fits best to learners profile and behaviour. As a result an adaptive learning path for individual learner as well as group path for lea



    AIP Conference Proceedings, vol. 1293, issue 1, pp. 263-270, 2010, Bulgaria, Sofia, American Institute of Physics

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    Вид: статия в списание, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus и Web of Science