Faceted classifiers and essays in new e-test system: benefit analysis
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PhD, Associate Professor O.B. Dmitriev
Udmurt State University, Izhevsk
Objective of the study was to analyze benefits of the faceted classifiers and essay test technologies applicable in the Moodle electronic test toolkit.
Methods and structure of the study. We piloted the electronic test system on the Moodle e-learning platform of Institute of Physical Culture and Sports of Udmurt State University. Moodle is a multifunctional educational platform with the educational and test content design toolkit. We used the faceted classifier technologies and essays to develop test questions and problems for the knowledge and skills tests in the Martial Arts and Physical Education and Sports Information Technology disciplines. The test system was developed using the topics faceting approach.
Results and conclusion. The test system distracter analysis by V.S. Avanesov showed a high quality of the classifier questions. The essay questions and problems were found as effective as in a traditional verbal examination as they require the student to thoroughly analyze the question, formulate and explain the choice rather than just choose or guess. It is also important that the difficulty and timeframe of the e-test is increased insignificantly. The new faceted classifier and essay questions test technologies were found beneficial for the test procedure fairness and quality, with special benefits for the discipline-specific question banks and the ET test procedure on the whole.
Keywords: electronic test, test questions, classifier questions, essay questions, parallel faceted questions, physical education, Moodle platform.
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