From One-Size Texts to Tailored Readings: Student Experiences with AI-Generated Course Materials
References
- Bloom, B. S. (1984). The 2 sigma problem: The search for methods of group instruction as effective as one-to-one tutoring. Educational Researcher, 13(6), 4–16. 10.3102/0013189X013006004
- Bozkurt, A. (2023). Generative AI, synthetic contents, open educational resources (OER), and open educational practices (OEP): A new front in the openness landscape. Open Praxis, 15(3), 178–184. 10.55982/openpraxis.15.3.579
- Bozkurt, A., Xiao, J., Farrow, R., Bai, J. Y. H., Nerantzi, C., Moore, S., Dron, J., Stracke, C. M., Singh, L., Crompton, H., Koutropoulos, A., Terentev, E., Pazurek, A., Nichols, M., Sidorkin, A. M., Costello, E., Watson, S., Mulligan, D., Honeychurch, S., … Asino, T. I. (2024). The manifesto for teaching and learning in a time of generative AI: A critical collective stance to better navigate the future. Open Praxis, 16(4), 487–513. 10.55982/openpraxis.16.4.777
- College Board. (2025). Trends in college pricing and student aid 2025. College Board.
- Connor, C. M. D., Morrison, F. J., Fishman, B. J., Schatschneider, C., & Underwood, P. (2016). Individualizing student instruction in reading: Implications for policy and practice. Policy Insights from the Behavioral and Brain Sciences, 3(1), 54–61. 10.1177/2372732215624931
- Corbitt, K., Hiltbrand, K., Coursen, M., Rodning, S., Smith, W. B., & Mulvaney, D. (2024). Credibility judgments in higher education: A mixed-methods approach to detecting misinformation from university instructors. Education Sciences, 14(8), 852. 10.3390/educsci14080852
- Coombs, W. T. (2007). Ongoing crisis communication: Planning, managing, and responding. Sage.
- Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches (4th ed.). SAGE.
- Cronbach, L. J., & Snow, R. E. (1977).
Aptitudes and instructional methods: A handbook for research on interactions . Irvington. - Faber, T. J. E., Dankbaar, M. E. W., van den Broek, W. W., Bruinink, L. J., Hogeveen, M., & van Merriënboer, J. J. G. (2024). Effects of adaptive scaffolding on performance, cognitive load and engagement in game-based learning: A randomized controlled trial. BMC Medical Education, 24, 943. 10.1186/s12909-024-05698-3
- Fan, L., Deng, K., & Liu, F. (2025). Educational impacts of generative artificial intelligence on learning and performance of engineering students in China. Scientific Reports, 15, 26521. 10.1038/s41598-025-06930-w
- Florida Virtual Campus. (2022). 2022 student textbook and instructional materials survey: Results and findings (Office of Distance Learning & Student Services). Tallahassee, FL.
- Freeman, R. B. (1984). Longitudinal analyses of the effects of trade unions. Journal of labor Economics, 2(1), 1–26. 10.1086/298021
- Hernández-Herrera, J. R., Ortiz-Bejar, J., & Ortiz-Bejar, J. (2026). Adaptive and personalized learning in higher education: An artificial intelligence-based approach. Education Sciences, 16(1), 109. 10.3390/educsci16010109
- Hogheim, S., & Reber, R. (2015). Supporting interest of middle school students in mathematics through context personalization and example choice. Contemporary Educational Psychology, 42, 17–25. 10.1016/j.cedpsych.2015.03.006
- Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., … Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. 10.1016/j.lindif.2023.102274
- National Association of College Stores. (2025, August 20). NACS Student Watch Report: Course materials spending stable, high satisfaction with access programs.
- Priniski, S. J., Hecht, C. A., & Harackiewicz, J. M. (2018). Making learning personally meaningful: A new framework for relevance research. Journal of Experimental Education, 86(1), 11–29. 10.1080/00220973.2017.1380589
- UNESCO. (2023). Guidance for generative AI in education and research. United Nations Educational, Scientific and Cultural Organization.
- Walkington, C., & Bernacki, M. L. (2014). Motivating students by “personalizing” learning around individual interests: A consideration of theory, design, and implementation issues. 10.1108/S0749-742320140000018004
- Walters, W. H., & Wilder, E. I. (2023). Fabrication and errors in the bibliographic citations generated by ChatGPT. Scientific Reports, 13, 14016. 10.1038/s41598-023-41032-5
DOI: https://doi.org/10.55982/openpraxis.18.3.1141 | Journal eISSN: 2304-070X
Language: English
Page range: 506 - 522
Submitted on: Jan 25, 2026
Accepted on: Apr 10, 2026
Published on: Aug 4, 2026
Published by: International Council for Open and Distance Education (ICDE)
In partnership with: Paradigm Publishing Services
Keywords:
© 2026 Alexander M. Sidorkin, published by International Council for Open and Distance Education (ICDE)
This work is licensed under the Creative Commons Attribution 4.0 License.