Cognitive Offloading in AI-Assisted Learning: A Study of Its Psychological Effects on Memory, Critical Thinking, and Problem-Solving Skills

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Shalvi Dogra

Abstract

Artificial intelligence (AI) has revolutionized the current educational landscape, making personalized learning, intelligent tutoring systems, and adaptive education possible. It has also been used increasingly for cognitive offloading, for learners to use Artificial Intelligence (AI) tools to assist them with memory, reasoning and problem-solving. The goal of this study is to shed light on the psychological impact of cognitive offloading in the context of AI-supported learning, specifically on memory retention, critical thinking, and problem-solving abilities. A complete narrative study process was carried out based on journal articles, books and conference studies published from 2020 to 2026. Relevant studies were identified through the use of established search strategies and inclusion/exclusion criteria. The results show that AI-assisted learning enhances personalised teaching, reduces cognitive load, increases learning efficiency and leads to academic achievement. “Over-reliance on AI could diminish memory recall, executive functions, analytical thinking, and problem-solving skills. Psychological effects vary based on learners’ digital skills, educational context, task complexity, and extent of AI use. Longitudinal and cross-cultural empirical investigations are needed in the future to evaluate long-term cognitive effects and to establish evidence-based ethical guidelines for optimal AI integration in education.

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