Artificial Intelligence and the change of traditional paradigms in educational psychology

Abstract

Introduction: Artificial intelligence (AI) is the capability of machines to mimic human abilities such as reasoning, learning, planning, or creativity. Its dynamic and rapid development exerts a significant impact on the field of educational psychology.

Research Aim: The text aims to discuss how AI modifies the approach to cognitive processes, motivation, performance assessment, personalization of learning, etc., as well as to present the latest empirical findings, offer a theoretical framework for rethinking the roles of a teacher, learner, and student in digital learning environments, and emphasize the psychological aspects of education. The paper outlines a new paradigm of an “adaptive learning system” that integrates AI technologies with psychological principles of effective learning.

Evidence-based Facts: AI technologies contribute to changing traditional educational paradigms. The rise of AI in education brings new opportunities as well as major challenges. From a psychological point of view, the implications concern individualization of learning, students’ self-regulation, the emotional climate of learning, and the relationship between a pupil, student, and teacher. Ethical reflections must focus on the issues of transparency of algorithms, privacy, equality of access, and responsibility for decision-making. To avoid the risk of dehumanizing education, the human dimension in education needs to be preserved so that individuals are raised and educated as beings in their full complexity.

Summary: AI can be a valuable tool but its use must be guided by respect for the psychological needs of students and the ethical principles of the educational process.