| Popis: |
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, adaptation generator and knowledge selection agent for performing adaptive navigation in the learning object repository. The output of the analysis agent is involved in dynamic elaboration of learning strategy that fits best to learners profile and behavior. As a result an adaptive learning path for individual learner and for learner groups is generated. |
