Research map / Large language models / AI and society
Model AI Assignments 2025
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Presents abstracts of thirteen AI education assignments from the AAAI 2025 Model AI Assignments session, spanning NLP, deep learning, search, societal impact and K-12 activities.
Problem
Instructors need easily adoptable, engaging, and flexible AI assignment designs; the session gathers and disseminates such assignments from the AI education community.
Approach
A curated collection of thirteen short assignment abstracts (with specifications hosted externally) covering diverse AI topics and audiences, from unplugged K-12 games to advanced DP-SGD and BERT-based spelling correction labs.
Key results
- Presents thirteen AI assignment abstracts from the AAAI 2025 Model AI Assignments session.
- Assignments target audiences from K-12 students to undergraduates and teacher candidates.
Limitations
- Only abstracts are given in the paper; full specifications are external at modelai.gettysburg.edu.
- No empirical evaluation of the assignments' learning outcomes is reported in the paper.
Experimental setup
Datasets: MedMNIST PneumoniaMNIST NHANES GloVe word embeddings National Pollutant Release Inventory (NPRI)
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