Review of Teaching with AI: A Practical Guide to a New Era of Human Learning, by José Antonio Bowen and C. Edward Watson

Autores

  • David Fowler University of Nebraska–Lincoln

DOI:

https://doi.org/10.14507/er.v32.4255

Biografia do Autor

David Fowler, University of Nebraska–Lincoln

David Fowler is an emeritus professor of mathematics education at the University of Nebraska–Lincoln (UN–L). He has an undergraduate degree in mathematics from Harvard College (1962) and PhD from UN–L in mathematics education and instructional technology (1991). His primary interests are in finding uses for emerging technologies in mathematics education, especially with the application Mathematica, developed by Wolfram Research, Inc. He has been a Wolfram Visiting Scholar at the WRI campus and was Editor-in-Chief of the journal Mathematica in Education and Research (Springer Verlag) from 1998 to 2002. At UN–L he chaired 19 doctoral students and 74 master’s students in mathematics or technology education. In 2011, he received the Milton Beckman Lifetime Achievement Award for Advancement of Mathematics Education from the Nebraska Association of Teachers of Mathematics. He first encountered the term “artificial intelligence” in 1960 in a course on mathematics and linguistics taught at Harvard College by Anthony Oettinger. The central problem posed in the course was machine translation, specifically from Russian to English. A promising approach at that time was to apply Markov processes to the new theories of syntactic structure being developed by Noam Chomsky.

Referências

Anderson, L., Krathwohl, D. R., Airasian, P. W., Cruikshank, K. A., Mayer, R. E., Pintrich, P. R., Rathes, J., & Wittrock, M. C. (2000). Taxonomy for learning, teaching, and assessing: A revision of Bloom’s taxonomy of educational objectives, complete edition: Pearson.

Anicker, F. Flashoff, F. G, (2024). Common-sense attributions of AI agency: Evidence from an experiment with ChatGPT. In M. W. Bauer & B. Schiele, AI and common sense: Ambitions and frictions: Routledge. https://doi.org/10.4324/9781032626192-18

Asimov, I (2013). I robot. Voyager Classics.

Bodnick, M. (2023, July 18). ChatGPT goes to Harvard and does better than you think! Slow Boring. https://www.slowboring.com/p/chatgpt-goes-to-harvard?

Capek, K, (2001). R.U.R. (Rossum’s universal robots). Dove Press.

Conklin, G (1964). Science fiction thinking machines: Bantam Books.

DeForest, J. W. (1868, January 9). The great American novel. The Nation.

Dennett (1994). Language and intelligence. In J. Khalfa (Ed). What is intelligence? (pp. 161-178). Cambridge University Press.

Gibson, W. (2020). Agency (The Jackpot Trilogy). Berkeley.

Hua, H. (2025, June 30,). The end of the essay: What happens after A.I. destroys college writing? The New Yorker, pp. 21-27.

Kurzweil, R. (2024). The singularity is nearer: When we merge with AI. Viking.

Lanham, M. (2025). AI agents in action. Manning.

Laurel, B. (1993). Computers as theater: Addison-Wesley.

OpenAI ChatGPT 4o. (2025, May). Heidegger Sein Dasein Shift. Personal communication.

O’Toole, G. (2017). Hemingway didn’t say that: The truth behind familiar quotations. Little a.

Poe, E. A. (1992). The bells. In The collected tales and poems of Edgar Allan Poe (pp. 954-955.) Modern Library.

Tenner, E. (1997). Why things bite back: Technology and the revenge of unintended consequences. Knopf Doubleday.

Žižek, S. (2020). Hegel in a wired brain. Bloomsbury Academic.

[Book reviewed] Bowen, J. A., & Watson, C. E. (2024). Teaching with AI: A practical guide to a new era of human learning. Johns Hopkins University Press.

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Publicado

2025-09-03

Como Citar

Fowler, D. (2025). Review of Teaching with AI: A Practical Guide to a New Era of Human Learning, by José Antonio Bowen and C. Edward Watson. Resenhas Educativas/ANPEd, 32. https://doi.org/10.14507/er.v32.4255

Edição

v. 32 (2025)

Seção

Resenhas de livros

Licença

Copyright (c) 2025 David Fowler

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