Artificial intelligence supervising the choice of an individual educational trajectory: a psychological aspect
DOI:
https://doi.org/10.51707/2618-0529-2024-31-02Keywords:
artificial intelligence, individual educational trajectory, critical thinking, educational technologies, psychology of learning, improvement of the educational process.Abstract
Modern trends in the development of the educational sector indicate the growing relevance of research aimed atimproving teaching methods and tools that meet the needs of society. In this context, artificial intelligence (AI) is a promising tool for personalising education and ensuring the effectiveness of students’ learning activities. The intensive use of AI in various spheres of life, including education, necessitates the study of its impact on the psychological aspects of learning. It is important to understand how AI affects students’ motivation, self-esteem, emotional state, and other psychological characteristics. Based on the analysis of scientific publications, the article identifies prospects for building an individual educational trajectory of higher education students using AI and possible risks of this process (dependence on technology, breach of confidentiality, prejudice and discrimination, reduced social interaction, risk of loss of motivation, unequal access to technology, etc.) A number of key psychological aspects of students’ interaction with AI that require further research are highlighted, in particular: the impact of AI on students’ motivation and self-esteem, perception of AI recommendations, transparency and explanation of AI decisions, ethical aspects of using AI, as well as psychological barriers to AI adoption. The term “Artificial Intelligence Supervision of the Choice of Individual Educational Trajectory” is defined and substantiated. The results of a study among students of Vinnytsia National Technical University (VNTU) on the readiness of students to use AI to build an individual educational trajectory are analysed, and the peculiarities of this process are identified. Prospects for further research include the development of recommendations for the optimal use of AI, taking into account the psychological characteristics of students.
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