How can we determine whether students are truly engaging with their learning or simply relying on AI? Is AI producing half-baked graduates or fostering self-reliant, creative scholars?
Determining whether students are genuinely engaging with their learning or merely relying on AI requires a focus on critical thinking, problem-solving, and the learning process itself. True engagement is evident when students apply knowledge to novel situations, demonstrate originality, and critically evaluate ideas beyond AI-generated responses. Tasks that involve reflection, independent thought, and transparent methodologies such as outlining steps or explaining decisions highlight whether students are deeply involved or simply using AI as a shortcut. Moreover, assessments that require long-term retention, such as final projects or comprehensive exams, can reveal whether students have internalized concepts. While AI can enhance learning by providing personalized feedback and resources, its value lies in its ability to supplement, not replace, deep learning and creativity. Ultimately, graduates who excel in real-world problem-solving and innovation reflect the true success of an educational process that integrates AI in a way that fosters independence and critical engagement, rather than creating passive learners.