Application Mixed Diagnostic Tests in Blended Education and Training

Anna E. Yankovskaya and Mikhail E. Semenov


Intelligent pattern recognition, tree of mixed diagnostic tests, learning trajectory, blended education and training


Relevance of computer based learning and testing of students are discussed. Construction of mixed diagnostic tests that are a compromise between unconditional and conditional components is used in order to develop blended education and training. It is proposed for control, monitoring students' knowledge, professional and personal skills and abilities, and designing learning trajectory of courses for every student. We suggest a technique for construction of optimal mixed diagnostic tests that is based only on the experts' knowledge about problem area.

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