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It is argued that AI explanations can function as a scaffold that supports users in learning not only about specific outputs but also about model behavior, limitations, and potential bias.
Generative AI is rapidly reshaping higher education, yet its influence on student learning in engineering remains insufficiently understood. In courses that require conceptual understanding, design reasoning, and problem-solving, AI tools may support learning by providing explanations, solution pathways, and feedback....
This paper argues that the existing frameworks for AI literacy are insufficient because they enforce a consumer-orientation toward AI rather than fostering genuine epistemic agency, and proposes a three-part framework of AI literacy based on the notions of contextual use, critical interrogation, and participatory gover...
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