Learning Psychology in the Age of Artificial Intelligence: Changing Students' Cognitive and Motivational Patterns

The expansion of artificial intelligence in school education has transformed students’ learning process from the linear reception of information into an interactive, personalized, and data-driven experience. This article aims to examine learning psychology in the age of artificial intelligence and to explain changes in students’ cognitive and motivational patterns. The research method of this article is analytical-descriptive and is based on library studies and credible scholarly articles. The findings indicate that the use of intelligent tools can affect students’ attention, working memory, information processing, problem-solving, and metacognition, while providing the conditions for learner-centered instruction, rapid feedback, and adjustment of the educational pathway. However, the inappropriate use of these tools may lead to cognitive dependency, reduced mental effort, superficial learning, and weakness in analytical judgment. From a motivational perspective, artificial intelligence can enhance students’ sense of competence, interest in learning, and academic participation; however, in the absence of educational guidance, it may reduce learners’ educational patience and responsibility. The conclusion of the article emphasizes the necessity of the teacher’s role in guiding smart learning, strengthening critical thinking, fostering self-regulation, and creating a balance between technological assistance and students’ independent effort.