{"id":1691,"date":"2020-01-20T15:21:59","date_gmt":"2020-01-20T14:21:59","guid":{"rendered":"https:\/\/us.edu.pl\/wydzial\/wsne\/?page_id=1691"},"modified":"2020-04-06T12:17:42","modified_gmt":"2020-04-06T10:17:42","slug":"37-2","status":"publish","type":"page","link":"https:\/\/us.edu.pl\/wydzial\/wsne\/nauka-i-badania\/serie-wydawnicze\/seria-e-learning\/11-e-learning-and-stem-education-articles\/37-2\/","title":{"rendered":"37"},"content":{"rendered":"

AUTOMATED TESTING AS A LEARNING ASSESSMENT TOOL FOR UNIVERSITY STUDENTS<\/strong><\/p>\n

full-text article<\/a><\/p>\n

DOI: 10.34916\/el.2019.11.38<\/p>\n

Olena Gulesha, Viktor Bahriy, Mykhailo Pyshnyi, Maryna Romaniukha<\/strong> Dniprovsky State Technical University (Ukraine)<\/p>\n

Abstract<\/strong>: The paper considered and analysed aspects of modelling elements of knowledge test assessment. Learning process is a continuity of consecutive study of individual parts of the course and disciplines as a whole. Computer-based test assessment is gaining popularity among professors and educational managers. The authors discuss the benefits and drawbacks of digital test assessment. Computer testing is rationally applied to solve the tasks of formative and interim student learning assessment. The authors maintai\u0442 that the increase in the efficiency and accuracy of assessment is achieved not by increasing the number of test tasks, but by bringing the level of complexity of the questions to the student\u2019s level. Their approach is based on the overlay student model of student knowledge. For more reliable assessment of the individual student’s knowledge the authors used the Sugeno fuzzy inference method.<\/p>\n

Keywords<\/strong>: higher education, knowledge assessment, adaptive test assessment, fuzzy logic<\/p>\n

REFERENCES<\/strong><\/p>\n