What AI Can’t Do For Students—And What Colleges Must Do

AI in Everyday Life: Most students are already utilizing artificial intelligence daily, yet faculties and higher education institutions are still defining what counts as learning in this new environment.
Empowerment Over Coursework: According to Alex Chan, a business analytics professor, the core aim of higher education should be empowerment, which doesn’t just involve completing assignments but involves building capabilities and confidence.
Hands-On Application: Chan emphasizes teaching students to build with AI, allowing them to create and demonstrate real AI applications, which can further build their confidence and showcase their skills post-graduation.
Employer Expectations: Employers are looking for proactive problem solvers capable of communicating, presenting, and defending solutions, which indicates a need for higher education to foster such practical skills.
Critique of Current Learning Methods: Chan points out that current methods often do not equip students to take ownership of their work, present it effectively, and demonstrate comprehensive understanding.
Shift in Educational Goals: The rise of AI is compelling higher education to reassess its goals and strategies, focusing not just on technical correctness, but on deeper understanding, practical application, and value communication.

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