Reading

We have collected the following non-exhaustive list of articles about generative AI and education. There are grouped roughly by topic and ordered by first author.

A 📌 emoji designates an article that has been recommended by a member of the organizing committee as particularly relevant reading for this group.

Suggestions for additions welcomed at https://github.com/beanumber/aalac2026/issues.

AI and statistics education

  1. Al-Labadi, L., Aghababaei Jazi, O., Ataei, M., Bao, K., & Yu, R. (2025). AI meets academia: Enhancing statistics education with ChatGPT in undergraduate courses. TechTrends. https://doi.org/10.1007/s11528-025-01112-x
  2. 📌 Al Labadi, L., & Ly, A. (2025). Enhancing statistics education through Project-Based Learning (PbL) and the emergence of ChatGPT. Teaching Statistics, 47(3), 200–218. https://doi.org/10.1111/test.12405
  3. Dunn, P. K. (2025). Generative AI may impact students’ marks: A case study from a large first-year statistics course. International Journal of Mathematical Education in Science and Technology. https://doi.org/10.1080/0020739X.2025.2539711
  4. Ellis, A. R., & Slade, E. (2023). A new era of learning: Considerations for ChatGPT as a tool to enhance statistics and data science education. Journal of Statistics and Data Science Education, 31(2), 128–133. https://doi.org/10.1080/26939169.2023.2223609
  5. Furfaro, E., & Mosciatti, S. (2026). LLteacher: A tool for the integration of generative AI into statistics assignments. Technology Innovations in Statistics Education, 17(1), 1–27. https://doi.org/10.5070/T5.50756
  6. 📌 Hoerl, R. W. (2025). The future of statistics in an AI era. Quality Engineering, 1–13. https://doi.org/10.1080/08982112.2025.2556222
  7. Schwarz, J. (2025). The use of generative AI in Statistical Data Analysis and its impact on teaching statistics at universities of Applied Sciences. Teaching Statistics, 47(2), 118–128. https://doi.org/10.1111/test.12398
  8. Vilakati, S. (2026). Harnessing generative artificial intelligence for teaching statistics in medical research: Strategies for accurate hypothesis testing. Teaching Statistics. https://doi.org/10.1111/test.70019
  9. Xie, X., Zhang, L. J., & Wilson, A. J. (2025). Comparing ChatGPT feedback and peer feedback in shaping students’ evaluative judgement of statistical analysis: A case study. Behavioral Sciences, 15(7), 884. https://doi.org/10.3390/bs15070884
  10. Xing, Y. (2024). Exploring the use of ChatGPT in learning and instructing statistics and data analytics. Teaching Statistics, 46(2), 95–104. https://doi.org/10.1111/test.12367

AI and data science education

  1. Avila-Garzon, C., & Bacca-Acosta, J. (2025). Curriculum, pedagogy, and teaching/learning strategies in data science education. Education Sciences, 15(2), 186. https://doi.org/10.3390/educsci15020186
  2. 📌 Bien, J., & Mukherjee, G. (2025). Generative AI for data science 101: Coding without learning to code. Journal of Statistics and Data Science Education, 33(2), 129–142. https://doi.org/https://doi.org/10.1080/26939169.2024.2432397
  3. Bray, R. L. (2025). A tutorial on teaching data analytics with generative AI. INFORMS Journal on Applied Analytics, 55(4), 319–343. https://doi.org/10.1287/inte.2023.0053
  4. Cui, J., & Alexander, R. (2026). Same prompt, different outcomes: Evaluating the reproducibility of data analysis by LLMs. arXiv Preprint arXiv:2602.14349. https://doi.org/10.48550/arXiv.2602.14349
  5. 📌 Doleck, T., Agand, P., & Pirrotta, D. (2025). Generative AI in data science programming: Differences in performance between groups with and without AI-assistance. Education and Information Technologies, 1–19. https://doi.org/10.1007/s10639-025-13801-4
  6. Hao, H., & Chen, W. (2025). Research on the application effect of BOPPPS and ChatGPT-based AI-assisted teaching in the machine learning course. The Asia-Pacific Education Researcher. https://doi.org/10.1007/s40299-025-01026-5
  7. 📌 Hageman, J. A., & Peeters, C. F. W. (2025). AI in data science education: Experiences from the classroom. https://arxiv.org/abs/2510.00793
  8. Irvine, D. J., Halloran, L. J. S., & Brunner, P. (2023). Opportunities and limitations of the ChatGPT advanced data analysis plugin for hydrological analyses. Hydrological Processes, 37(10), e15015. https://doi.org/10.1002/hyp.15015
  9. Jeon, I., Kang, S.-J., & Kang, S. (2024). A staged framework for computer vision education: Integrating AI, data science, and computational thinking. Applied Sciences, 14(21), 9792. https://doi.org/10.3390/app14219792
  10. Valverde-Rebaza, J., González, A., Navarro-Hinojosa, O., & Noguez, J. (2024). Advanced large language models and visualization tools for data analytics learning. Frontiers in Education, 9, 1418006. https://doi.org/10.3389/feduc.2024.1418006
  11. Wilke, C. O. (2025). Teaching data visualization in the time of generative AI. Genes, Minds, Machines. https://blog.genesmindsmachines.com/p/teaching-data-visualization-in-the

AI and programming education

  1. 📌 Daniotti, S., Wachs, J., Feng, X., & Neffke, F. (2026). Who is using AI to code? Global diffusion and impact of generative AI. Science, eadz9311. https://doi.org/10.1126/science.adz9311
  2. Lepp, M., & Kaimre, J. (2025). Does generative AI help in learning programming: Students’ perceptions, reported use and relation to performance. Computers in Human Behavior Reports, 12, 100346. https://doi.org/10.1016/j.chbr.2025.100642
  3. Silva, C. A. G. da, Ramos, F. N., Moraes, R. V. de, & Santos, E. L. dos (2024). ChatGPT: Challenges and benefits in software programming for higher education. Sustainability, 16(3), 1245. https://doi.org/10.3390/su16031245

AI and statistical writing

  1. 📌 DeLuca, L. S., Reinhart, A., Weinberg, G., Laudenbach, M., Miller, S., & Brown, D. W. (2025). Developing students’ statistical expertise through writing in the age of AI. Journal of Statistics and Data Science Education, 33(3), 266–278. https://doi.org/10.1080/26939169.2025.2497547
  2. Reinhart, A., Markey, B., Laudenbach, M., Pantusen, K., Yurko, R., Weinberg, G., & Brown, D. W. (2025). Do LLMs write like humans? Variation in grammatical and rhetorical styles. Proceedings of the National Academy of Sciences, 122(8), e2422455122. https://doi.org/10.1073/pnas.2422455122

AI and computer science education

  1. Barr, V. (2025). Feeling cranky about AI and CS education. Communications of the ACM. https://cacm.acm.org/blogcacm/feeling-cranky-about-ai-and-cs-education/
  2. 📌 Sarkar, A. (2024). AI should challenge, not obey. Commun. ACM, 67(10), 18–21. https://doi.org/10.1145/3649404
  3. Shein, E. (2024). The impact of AI on computer science education. Commun. ACM, 67(9), 13–15. https://doi.org/10.1145/3673428
  4. Smith, C. E., Shiekh, K., Fierro, G., Ohene-Agyei, B., Ruz, M., Nandi, A., & Ahmad, N. (2024). Early adoption of generative artificial intelligence in computing education: Emergent student use cases and perspectives in 2023. Proceedings of the 2024 Conference on Innovation and Technology in Computer Science Education v. 1, 3–9. https://doi.org/10.1145/3649217.3653554

AI and the humanities / K-12 / general education

  1. Barcelona, A., & Cruz, S. R. D. (2025). Development and validation of a scale measuring students’ use of generative artificial intelligence tools. International Journal of Evaluation and Research in Education, 14(5). https://doi.org/10.11591/ijere.v14i5.34809
  2. Beers, K. (2010). The 2009 presidential address: Sailing over the edge: Navigating the uncharted waters of a world gone flat. Council Chronicle, 19(3), 14–14. https://www.jstor.org/stable/27784366
  3. Darvishi, A., Khosravi, H., Sadiq, S., Gašević, D., & Siemens, G. (2024). Impact of AI assistance on student agency. Computers & Education, 210, 104967. https://doi.org/10.1016/j.compedu.2023.104967
  4. Drozda, Z. (2026). The U.K. Is putting critical thinking at the center of AI education. America should too. Substack. https://zarekdrozda.substack.com/p/the-uk-is-putting-critical-thinking
  5. Eriksen, C., & Hurlburt, G. D. (2026). From prompt to practice: A framework for transparent GenAI use in higher education. EDUCAUSE Review. https://er.educause.edu/articles/2026/3/from-prompt-to-practice-a-framework-for-transparent-genai-use-in-higher-education
  6. 📌 Fernandes, D., Villa, S., Nicholls, S., Haavisto, O., Buschek, D., Schmidt, A., Kosch, T., Shen, C., & Welsch, R. (2025). AI makes you smarter but none the wiser: The disconnect between performance and metacognition. Computers in Human Behavior, 108779. https://doi.org/10.1016/j.chb.2025.108779
  7. Klein, L., Martin, M., Brock, A., Antoniak, M., Walsh, M., Johnson, J. M., Tilton, L., & Mimno, D. (2025). Provocations from the humanities for generative AI research. arXiv Preprint arXiv:2502.19190. https://doi.org/10.48550/arXiv.2502.19190
  8. Koebler, J. (2025). Teachers are not OK: AI, ChatGPT, and LLMs “have absolutely blown up what i try to accomplish with my teaching”. 404 Media. https://www.404media.co/teachers-are-not-ok-ai-chatgpt/
  9. Lehmann, M., Cornelius, P. B., & Sting, F. J. (2025). AI meets the classroom: When do large language models harm learning? https://arxiv.org/abs/2409.09047
  10. Luckin, R. (2024). The double-edged sword of AI in education: 3 critical risks and how to address them. Brookings Institution. https://web.archive.org/web/20240723045822/https://www.brookings.edu/articles/the-double-edged-sword-of-ai-in-education/
  11. Neumann, M., Rauschenberger, M., & Schön, E.-M. (2023). “We need to talk about ChatGPT”: The future of AI and higher education. 2023 IEEE/ACM 5th International Workshop on Software Engineering Education for the Next Generation (SEENG), 29–32. https://doi.org/10.25968/opus-2467
  12. 📌 The Oberlin Luddite Club, McLaughlin, C., Lane, L., McGreivey, M. C., Puchner-Noel, S., Blantz, M., & Van Dyck, S. (2025). Luddite club implores oberlin to opt out of AI. The Oberlin Review. https://oberlinreview.org/35718/opinions/luddite-club-implores-oberlin-to-opt-out-of-ai/
  13. Sarat, A. (2026). Many college students already have well‑formed cheating habits - that, not AI, is the real problem. theconversation.com. https://theconversation.com/many-college-students-already-have-well-formed-cheating-habits-that-not-ai-is-the-real-problem-285334
  14. 📌 Shirky, C. (2025). Students hate them. Universities need them. The only real solution to the A.I. Cheating crisis. The New York Times. https://www.nytimes.com/2025/08/26/opinion/culture/ai-chatgpt-college-cheating-medieval.html
  15. Singer, N. (2025). Welcome to campus. Here’s your ChatGPT. The New York Times. https://www.nytimes.com/2025/06/07/technology/chatgpt-openai-colleges.html
  16. 📌 Stanford HCAI (2023). AI will transform teaching and learning. Let’s get it right. https://hai.stanford.edu/news/ai-will-transform-teaching-and-learning-lets-get-it-right
  17. 📌 Walsh, J. D. (2025). Everyone is cheating their way through college: ChatGPT has unraveled the entire academic project. New York Magazine. https://nymag.com/intelligencer/article/openai-chatgpt-ai-cheating-education-college-students-school.html

AI and science education

  1. Cooper, G. (2023). Examining science education in ChatGPT: An exploratory study of generative artificial intelligence. Journal of Science Education and Technology, 32(3), 444–452. https://doi.org/10.1007/s10956-023-10039-y
  2. Ferguson, C. (2025). A researcher’s journey to the use of AI for qualitative data analysis: Findings from a test case with ChatGPT. Issues in Educational Research, 35(1), 126–141. https://search.informit.org/doi/abs/10.3316/informit.T2025050800002900585199456

AI and data science ethics

  1. Jones, N. (2026). AI agents may be skilled researchers—but not always honest ones. In Science. American Association for the Advancement of Science. https://doi.org/10.1126/science.aei6154
  2. Lewis, A., & Stoyanovich, J. (2022). Teaching responsible data science: Charting new pedagogical territory. International Journal of Artificial Intelligence in Education, 32(3), 783–807. https://doi.org/10.1007/s40593-021-00241-7
  3. Stoyanovich, J. (2022). Teaching responsible data science. Proceedings of the 1st ACM SIGMOD International Workshop on Data Systems Education: Bridging Education Practice with Education Research, 4–9. https://doi.org/10.1145/3531060.3534568

AI and mathematics education

  1. Avendaño-López, P. D. U., González Torres, A., & Figueroa-Anzures, C. (2024). El impacto del aprendizaje basado en aplicaciones móviles y IA en la comprensión de variables aleatorias discretas [The impact of mobile app-based learning and AI on understanding discrete random variables]. Revista Eduweb, 18(4), 219–240. https://doi.org/10.46502/issn.1856-7576/2024.18.04.15
  2. Trindade, M. A. M., Edirisinghe, G. S., & Luo, L. (2025). Teaching mathematical concepts in management with generative artificial intelligence: The power of human oversight in AI-driven learning. The International Journal of Management Education, 23(2), 101104. https://doi.org/10.1016/j.ijme.2024.101104
  3. Wardat, Y., Tashtoush, M. A., AlAli, R., & Jarrah, A. M. (2023). ChatGPT: A revolutionary tool for teaching and learning mathematics. Eurasia Journal of Mathematics, Science and Technology Education, 19(7), em2286. https://doi.org/10.29333/ejmste/13272

AI and engineering education

  1. Bravo, F. A., & Cruz-Bohorquez, J. M. (2024). Engineering education in the age of AI: Analysis of the impact of chatbots on learning in engineering. Education Sciences, 14(5), 484. https://doi.org/10.3390/educsci14050484
  2. Erez, Y., & Hazzan, O. (2025). How Science and Engineering Students Use GenAI Tools Throughout Their Academic Journey: A Four-Year Analysis. BLOG@CACM, Association for Computing Machinery. https://cacm.acm.org/blogcacm/how-science-and-engineering-students-use-genai-tools-throughout-their-academic-journey-a-four-year-analysis/

Teaching neural networks

  1. Tian, J. (2025). A practice-oriented computational thinking framework for teaching neural networks to working professionals. AI, 6(7), 140. https://doi.org/10.3390/ai6070140

AI and research

  1. 📌 Runge, T. (2025). AI, data science, and the transformation of scientific research: A primer. https://grow.cals.wisc.edu/departments/front-list/ai-data-science-and-the-transformation-of-scientific-research-a-primer

Last updated August 28, 2026