Review of Literary Theory for Robots: How Computers Learned to Write
DOI:
https://doi.org/10.54855/ijli.25444Keywords:
computer, policies , artificial intelligence, robotsAbstract
This book review deals with how the idea of a collabortion between AI intelligence and human intelligence. The book review shares how, for many years, these two entities have been working together, and their collaboration has given ways to many discoveries and innovations. This review shares key insights of the book in conversation with other prominent scholars.
References
Bakhtin, M. M. (2010). Speech Genres and Other Late Essays. University of Texas Press.
Berlin, J. A. (1984). Writing Instruction in Nineteenth-Century American Colleges. CSIU Press.
Bruffee, K. A. (1984). Collaborative learning and the “Conversation of Mankind”. College English, 46(7), 635-652.
Chan, C. K. Y., & Hu, W. (2023). Students’ voices on generative AI: Perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20(1), 43. https://doi.org/10.1186/s41239-023-00411-8
Dobrin, S. I. (2023). Talking about Generative AI: A Guide for Educators. Broadview press.
Sandhu, S. (2024). Literary Theory for Robots by Dennis Yi Tenen Review – the Deep Roots of AI. The Guardian, https://www.theguardian.com/books/2024/mar/28/literarytheory-for-robots-by-dennis-yi-tenen-review-the-deep-roots-of-ai.
Hart-Davidson, W. (2018). Writing with Robots and Other Curiosities of the Age of Machine Rhetorics. In The Routledge Handbook of Digital Writing and Rhetoric (pp. 248-255). Routledge.
Rodriguez, A. (2025). Book Review: AI-Powered Education: Innovative Teaching Strategies to Elevate Student Learning. International Journal of TESOL & Education, 5(3), 182-186. https://doi.org/10.54855/ijte.255311
Sherma, A. B. (2024). ChatGPT’s Impact on Students’ Writing: Lessons Learned from Nepali Undergraduate Students. Journal of NELTA, 29(1), 83–96.https://doi.org/10.3126/nelta.v29i1.72636
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