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TQ01000538 [Registered results] 2023 - 2025
The project aims to create recommended procedures for effective work with social and motivational factors affecting study results. It is elicited from interdisciplinary research with a core in robust sociological analysis, which will be broadened by machine learning and AI methods. The unique connection of various sources and types of data (quant. and qual.) with the background in various disciplines will allow to address the problem in its complexity without omitting both hard indicators about students and the course of their studies, as well as their subjective evaluations of their studies over time and own lived experience. The intention is to provide higher education institutions with the means to work with the needs and potential of students, thus assisting to dropout prevention.