Artificial Intelligence’s effect on education is undeniable, however, it has been met with significant criticism over how it is being utilized. The findings make it clear that in the educational world, we have never seen an impact quite like Artificial Intelligence’s influence.
AI’s impact depends on how it’s used.
Students are already seeing the effects of AI in real time — both in their own habits and in their peers.
Many students describe AI as becoming a first point of contact for academic work, even for tasks that require minimal effort. This shift raises concerns about long-term preparedness, as students may rely on AI instead of developing core skills such as critical thinking, writing, and problem-solving.
At the same time, students recognize that AI can be useful when used intentionally. Tools that explain concepts, generate study materials, or support brainstorming can improve understanding when they supplement — rather than replace — individual effort.
This dual perspective reinforces the central finding of this research: the risk of deskilling is not inevitable, but it becomes more likely when AI replaces cognitive effort instead of supporting it.
Step-by-step guides on how AI should be used in the classroom, tailored to teachers and students at all levels of education. More SEL classes to build on the skills that set humans apart from machines.
Continue the research to determine how the predicted trends from short-run observations play out in the long run. Implement regulations, policies, and tools now to combat any potential harmful impacts and evaluate the effects in real time.
AI should scaffold learning, not replace the cognitive effort learning requires.