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supportive tool that enhances learning. For instance, AI can be used to suggest guiding
questions rather than provide immediate conclusions, encouraging learners to engage in
inquiry and reflection. It should also offer partial feedback instead of completing
assignments, ensuring that students remain responsible for their own work.
Moreover, AI can present counterarguments to prompt self-assessment, helping
learners evaluate their reasoning from multiple perspectives. It may also assist in error
checking only after learners have independently completed a task, reinforcing the
importance of initial cognitive effort. Additionally, learners should be required to
compare their work with source materials, fostering analytical skills and accuracy. Finally,
AI should encourage self-interpretation and retrieval in learners’ own words, which
strengthens understanding and long-term memory retention. In this way, AI becomes a
tool for deep learning rather than a shortcut that undermines it.

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