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Artificial intelligence is already present in universities.
Students use it to write, research, and solve problems. Faculty are beginning to integrate it into teaching, sometimes cautiously, sometimes more directly.
This creates a different kind of question.

The debate is no longer about whether AI should be included in higher education, but how it should be positioned. Should universities focus on teaching AI as a subject, or use it as a tool within existing learning systems?
The distinction may seem subtle. In practice, it shapes how knowledge is developed, applied, and understood.

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The role of AI in education is shifting from subject to tool.

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1. Teaching AI and Using AI Are Not the Same Problem
There’s a tendency to treat this as a curriculum question. Should AI be taught as a subject? Should there be courses, modules, certifications? That part is relatively easy to solve. What’s less clear is what happens when AI is already part of how students work. Not as a topic, but as a tool they reach for without thinking too much about it. Because then the issue shifts. It’s no longer just about understanding AI. It’s about how much of the thinking process is still happening without it.

2. Efficiency Can Come at the Cost of Depth
AI makes academic tasks quicker. Information can be gathered, processed, and presented in less time than before. This is useful, especially when workloads are high. But speed changes how much time is spent engaging with material. If reading, interpreting, and organizing are reduced, then depth can be affected—even if the final output looks complete. The issue is not that students are doing less work, but that the nature of the work is changing.

3. The Debate Reflects What Universities Prioritize
Whether to teach AI or teach with it comes down to priorities. If the focus is on building strong conceptual understanding, then structured courses make sense. If the focus is on preparing students for current workflows, then using AI as a tool becomes more relevant. Most institutions are trying to do both, but the balance isn’t clear yet. What gets emphasized will shape how students learn and what they take away.

4. Dependence and Skill Development Start to Overlap
As AI becomes part of routine academic work, reliance builds gradually. Students may use it for outlining, drafting, or problem-solving without thinking much about it. That can improve efficiency, but it also changes how certain skills develop. Some abilities adapt, others may weaken if they’re used less often. The question is not whether this is good or bad, but which skills remain essential.

5. Assessment Becomes More Complicated
Traditional assignments assume that the work reflects individual effort. With AI in the mix, that assumption is harder to maintain. It’s not always clear how much of a response comes from the student versus the tool. This makes evaluation less straightforward and pushes educators to rethink how learning is measured.

6. Curriculum Design Needs Adjustment
Adding AI to the curriculum is not just about introducing a new subject. It affects how existing subjects are taught. Courses need to account for both understanding and use. Too much focus on theory can feel disconnected, while too much reliance on tools can reduce depth. Finding a workable balance takes time and will likely keep evolving.

7. It’s Not a Choice Between the Two
Framing this as “teach AI or teach with AI” is too simple. Both approaches address different parts of learning. Teaching AI builds understanding. Using AI changes how that understanding is applied. The challenge is combining them in a way that supports both.

Conclusion
AI is already part of higher education, whether formally included or not. The real issue is how it’s handled. Teaching it builds structure and understanding. Using it changes how students work. Both affect learning in different ways. Over time, how universities balance these will shape what education actually looks like.

Frequently Asked Questions

What is infused water?

Water flavored naturally with fruits, herbs, vegetables, or spices.

Which fruit is commonly used in infused water for hydration?

Cucumber.

How long should infused water ideally be refrigerated before drinking?

2–4 hours.

Which herb pairs well with lemon in infused water?

Mint.

What is the primary benefit of infused water?

Improved hydration.

Can infused water be a healthier alternative to sugary drinks?

Yes.

Which ingredient is commonly added for a refreshing flavor?

Fresh mint leaves.

How long is homemade infused water best consumed within?

24–48 hours.

Does infused water typically contain added sugar?

No.

Which citrus fruit is popular in detox-style infused water recipes?

Lemon.

Can berries be used in infused water?

Yes.

Which spice can add warmth and flavor to infused water?

Cinnamon.

Statutory Citations & References

References
[1] UNESCO, “AI and Education: Guidance for Policy-makers,” 2021. [Online]. Available: https://www.unesco.org/
[2] OECD, “Artificial Intelligence in Education: Challenges and Opportunities,” 2023. [Online]. Available: https://www.oecd.org/
[3] World Economic Forum, “Shaping the Future of Learning with AI,” 2024. [Online]. Available: https://www.weforum.org/
[4] Stanford University Human-Centered AI Institute, “AI and the Future of Education,” 2023. [Online]. Available: https://hai.stanford.edu/

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