| Abstract [eng] |
Everyone learns in different ways: some prefer listening and speaking, others use text analysis or studying of visual means. Knowledge of students learning styles helps to the teacher to provide the proper subject matter using a variety of teaching methods and tools. The VARK model was selected after analysis of the study's models. Designed conceptual data model, which prepare VARK questionnaire results for integrating with student’s activity entries in Moodle VLE (virtual learning environment, further VLE) for data mining. Determinated activity dynamics for A, K, R, and V's style of studies, by applying communication and automated testing methods. Prepared Moodle tools use recommendations in distance learning courses for developers, according to study styles. Automatic learning styles detection method for distance learning courses was designed, developed and tested. |
