Research map / Large language models / AI and society
Teacher needs and AI curricula
Survey and design AI literacy education for K-12 teachers and educator preparation.
45 accepted papers at ICML, NeurIPS, ICLR, CVPR and AAAI (2023–2025) · an approach in AI and society, keyword cluster “students · education · teaching”
State History Tried Preprints Who Export
Where it stands
Not enough benchmark data Fewer than four papers report the same benchmark, so there is no record to follow.
23 papers in 2023–24 and 22 in 2025–26 (at ICML, NeurIPS, ICLR, CVPR and AAAI); its share of the topic shrank, from 10.2% to 4.3%.
How this is decided
A benchmark is tracked when at least four papers of this approach report their own method on the same dataset and metric in at least two different years. Its record is the best number reported up to 2024 compared with the best reported in 2025–26: still improving means at least 1% better, flat means at most 0.2% better with at least two papers from 2025–26 trying. Numbers on a different scale from the rest (a fraction among percentages) and far outliers are left out. Results come from different papers with different setups, so they are signals, not head-to-head comparisons. The share of papers is counted at ICML, NeurIPS, ICLR, CVPR and AAAI.
How it got here
Most cited paper of each year
- 2023 · AI Audit: A Card Game to Reflect on Everyday AI Systems (AAAI 2023 · 34 citations)
- 2024 · Co-designing AI Education Curriculum with Cross-Disciplinary High School Teachers (AAAI 2024 · 37 citations)
- 2025 · Fostering Epistemic Insights into AI Ethics through a Constructionist Pedagogy: An Interdisciplinary Approach to AI Literacy (AAAI 2025 · 9 citations)
Earliest papers here
- AI Audit: A Card Game to Reflect on Everyday AI Systems (AAAI 2023 · 34 citations)
- Literacy and STEM Teachers Adapt AI Ethics Curriculum (AAAI 2023 · 28 citations)
- Build-a-Bot: Teaching Conversational AI Using a Transformer-Based Intent Recognition and Question Answering Architecture (AAAI 2023 · 23 citations)
What has been tried
31 papers here report 166 measured changes (a component added, removed or swapped, compared with a baseline): helped 61%, no clear effect 20%, hurt 6%, mixed 13%. Papers mostly publish changes that helped, so "helped" is over-represented.
Recent preprints
Loading recent arXiv preprints…
Who publishes on it
Institutions on the most papers of this approach since 2023 (of 45 papers; from OpenAlex and the papers' affiliations).
- Massachusetts Institute of Technology · 6 papers
- New York University · 4 papers
- North Carolina State University · 3 papers
- University of Florida · 2 papers
- MIT Media Lab · 2 papers
- University of Texas at Austin · 2 papers
- University of Pennsylvania · 2 papers
Use it
Download BibTeX of 26 key papersOpen the topic in the interactive map
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Related approaches
Same keyword cluster
- Classroom tools and student perceptions (40 papers)
Elsewhere in the topic
- Human-centered trust and agency (161 papers)
- Social-science view of AI evaluation (159 papers)
- Data commons and human baselines (159 papers)
- Critiques of LLM claims and judging (104 papers)
- Benchmarking and reproducibility practice (104 papers)
- AI for health and public decisions (55 papers)
Benchmark numbers, ablations and baseline numbers are extracted by AI from each paper's full text and can be wrong; the paper is the authority. Data: results index of 2026-11-02, citation counts from OpenAlex (2026-10-09).