AI in Education: Using ChatGPT Without Losing Critical Thinking
In spring 2026, Brown University economics professor Roberto Serrano faced a result that looked impressive but raised immediate doubts. The average score on a take-home midterm was 96 percent, far above the course’s historical range of 65 to 80 percent. Serrano suspected that many students had used ChatGPT or similar tools to generate answers.
- ▪In spring 2026, Brown University economics professor Roberto Serrano faced a result that looked impressive but raised immediate doubts.
- ▪The average score on a take-home midterm was 96 percent, far above the course’s historical range of 65 to 80 percent.
- ▪Serrano suspected that many students had used ChatGPT or similar tools to generate answers.
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Record
| Original publisher | Hacker News (AI / LLM) |
| Canonical URL | https://www.notion4teachers.com/blog/the-ai-learning-divide-when-technology-supports-thinking-and-when-it-replaces-it |
| Publication time | Wed, 29 Jul 2026 21:14:17 +0000 |
| Retrieval time | 2026-07-29T21:27:59.392Z |
| Last seen | 2026-07-29T21:27:59.392Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | vITDYvyfnhbV · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
In spring 2026, Brown University economics professor Roberto Serrano faced a result that looked impressive but raised immediate doubts. The average score on a take-home midterm was 96 percent, far above the course’s historical range of 65 to 80 percent. Serrano suspected that many students had used ChatGPT or similar tools to generate answers. He replaced the planned take-home final with an in-person exam. Eighteen students dropped the course, nine remained enrolled but did not sit the final, and the final-exam average fell to 48.6 percent. Nineteen students ultimately failed.[1]The episode does not prove that every high-scoring student cheated.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Hacker News (AI / LLM).
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