Evidence of a Cognitive Shift in AI Education: How Students Are Rethinking Human Intelligence?
Perceptions of intelligence shape how learners evaluate and rely on artificial intelligence (AI) systems. Despite rapid advances in AI capabilities, the impact of sustained exposure to these tools on students' valuation of human intelligence (HI) relative to AI remains underexplored. This paper presents a longitudinal analysis of classroom poll responses collected between 2020 and 2026 in AI-focused undergraduate and MSc courses in computer science. Data from 471 students across technical courses (such as Machine Learning and Deep Graph Learning) and design-oriented courses (such as Design Thinking for AI) reveal four recurring phases: hype, distrust, trust, and dependency. While early re...
| Authors | Islem Rekik |
|---|---|
| Primary category | cs.CY |
| Published | 14 April 2026 |
| Last updated at source | 14 April 2026 |
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