Abstract
Generative artificial intelligence has rapidly become an everyday partner in student learning, raising urgent psychological questions about what is gained and lost when learners delegate cognitive labor to AI. This paper examines whether this phenomenon represents a conventional extension of cognitive offloading—the use of external tools to reduce internal cognitive demands—or something fundamentally different. Drawing on empirical research including randomized controlled trials, large-scale field experiments, and neuroimaging studies, this paper argues that AI does not merely lighten cognitive load but increasingly substitutes for core thinking processes such as understanding, reasoning, and generation. While students gain efficiency, immediate academic performance, and personalized support, they lose reflective depth, generative cognition, and intellectual autonomy. This qualitative shift is best understood as a transition from cognitive offloading to "cognitive deference," wherein students passively accept synthetic outputs rather than actively constructing knowledge. The paper concludes by proposing educational reforms—including assessment redesign, collaborative AI use models, and metacognitive cultivation—to preserve the essential struggles that drive lasting learning.
Keywords: cognitive offloading, cognitive deference, generative AI, critical thinking, metacognition, education
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