Datalogic Relation Model for Automated Evaluating the Semantic Integrity of Test Tasks Sets by Machine Learning Means
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2024
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Datalogic relation model for automated evaluating the semantic integrity of test tasks sets was designed. The developed intelligent system has significant potential for use in educational institutions and organizations where assessing the alignment of test tasks with educational materials is critical. By automating this evaluation process, the system ensures objectivity and reliability in the results.
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Hardysh D., Mazurets O., Tyschenko O. Datalogic Relation Model for Automated Evaluating the Semantic Integrity of Test Tasks Sets by Machine Learning Means. Innovative Solutions in Science: Balancing Theory and Practice. Proceedings 2nd International Conference. December 23-25, 2024. San Francisco, USA. 2024. Pp. 114-125.