We are facing a dangerous illusion in higher education: assuming that because students use generative AI tools, they understand them. Our latest open-access research published in the International Journal of Educational Technology in Higher Education dissects this assumption.

Through word association mapping of student AI cognition, we uncovered a disturbing reality. Students treat generative AI as an omniscient oracle rather than a probabilistic tool. They know its name, but remain entirely ignorant of its nature.

This cognitive gap leads to uncritical consumption, academic integrity crises, and a superficial integration of technology in learning. We cannot solve this by simply handing out generic ethical guidelines or banning tools.

Our paper doesn't just expose the problem; it provides an architecture for the solution. We detail the design of evidence-based micro-credentials specifically tailored to bridge this cognitive gap. If we want to move students from passive operators to critically literate thinkers, we need targeted, structured interventions.

Read the full paper to explore the mapping data and the micro-credential framework.