resources 

Generative Artificial Intelligence & Teaching (Rowan University)

Generative AI (Rowan University)

AI Resources for Faculty (Jonathan Mercantini, Kean University)

NJIT Business AI assignments (Oya Tukel, NJIT)

Other resources: 

• Critical AI Literacy for Educators by Kathryn Conrad and Sean Kamperman (Padlet)

• AI RISK MANAGEMENT FRAMEWORK

• What is AI risk management?

• Incorporating AI in Teaching: Practical Examples for Busy Instructors

• Syllabi Policies for Generative AI Repository

• MLA-CCCC Joint Task Force  on Writing and AI Working Paper: Overview of the Issues, Statement  of Principles, and Recommendations

• Generative AI and Policy Development: Guidance from the MLA-CCCC Task Force

• https://www.perplexity.ai (For research)

• https://www.magicschool.ai (K-12)

• https://www.teacherserver.com (K-12)

• https://www.briskteaching.com (K-16)

• https://snorkl.app (K-12)

• www.studentguidetoAI.org (Elon University)

Topical Readings

AI & LLMs as Tools for the Humanities

• Karin van Es, "Unpacking tool criticism as practice, in practice" Digital Humanities Quarterly 17.2 (2023).

• Ted Underwood, "A more interesting upside of AI" tedunderwood.com (2025).

LLMs, AI, & culture/cultural meanings

• Ted Underwood, "Mapping the Latent Spaces of Culture" Startwords, Issue 3, August 2022, doi: 10.5281/zenodo.6567481.

• Lauren Klein, Meredith Martin, André Brock, Maria Antoniak, Melanie Walsh, Jessica Marie Johnson, Lauren Tilton, David Mimno, “Provocations from the Humanities for Generative AI Research”, pre-print.

LLMs and poetry

• Brian Porter and Edouard Machery. “AI-generated poetry is indistinguishable from human-written poetry and is rated more favorably.” Scientific Reports 14, 26133 (2024). https://doi.org/10.1038/s41598-024-76900-1.

• Melanie Walsh, Anna Preus, and Maria Antoniak. “Sonnet or Not, Bot? Poetry Evaluation for Large Models and Datasets.” Findings of the Association for Computational Linguistics: EMNLP 2024. https://aclanthology.org/2024.findings-emnlp.914/.

• Lyra D’Souza and David Mimno. “The Chatbot and the Canon: Poetry Memorization in LLMs.” Computational Humanities Research Conference: CHR 2023. https://ceur-ws.org/Vol-3558/paper5712.pdf. 

• Alex Reisner. “These 183,000 Books Are Fueling the Biggest Fight in Publishing and Tech.” The Atlantic, September 25, 2023. https://www.theatlantic.com/technology/archive/2023/09/books3-database-generative-ai-training-copyright-infringement/675363/.  

• Melanie Walsh, Anna Preus, and Elizabeth Gronski, “Does ChatGPT have a Poetic Style,” Computational Humanities Research Conference: CHR 2024. https://doi.org/10.48550/arXiv.2410.15299.

LLMs and (sometimes hidden) limitations

• Atari, M., Xue, M. J., Park, P. S., Blasi, D. E., & Henrich, J. (2023) “Which humans?” OSF preprint. https://osf.io/preprints/psyarxiv/5b26t_v1. 

• Zaagsma, G. (2023). “Digital history and the politics of digitization” Digital Scholarship in the Humanities, 38(2), 830–851. https://academic.oup.com/dsh/article/38/2/830/6702047.

• Adelani, D. I., et al. (2024). “IrokoBench: A benchmark for African languages in the age of large language models.” https://aclanthology.org/2025.naacl-long.139/.

• Bod, R. (2018). “Modelling in the Humanities: Linking Patterns to Principles.” Historical Social Research / Historische Sozialforschung. Supplement 31, 78-95. https://www.jstor.org/stable/26533629.