Distinguishing performance gains from learning when using generative AI
Lixiang Yan, Samuel Greiff, Jason M. Lodge, Dragan Ga\v{s}evi\'c

TL;DR
This paper examines how generative AI impacts educational performance, highlighting that while it can improve results, it may not foster deep learning processes.
Contribution
It distinguishes between performance improvements and genuine learning gains when using generative AI in education.
Findings
Generative AI can boost learner performance metrics.
It may not promote deep cognitive and metacognitive skills.
Performance gains do not necessarily equate to improved learning quality.
Abstract
Generative artificial intelligence (AI) is increasingly being integrated into education, where it can boost learners' performance. However, these uses do not promote the deep cognitive and metacognitive processing that are required for high-quality learning.
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