BYUH’s Center for Learning & Teaching will host The CLT Book Club to discuss topics related to improving teaching and learning. CLT faculty will choose a relevant book/articles each semester to distribute to committed adjunct and full-time faculty participants. Copies will be somewhat limited so participants who receive a book should plan to commit to attending each week for the duration of the semester. Book club sessions will be 45 minutes long and generally include small and whole group discussions related to a topic from the reading each week. Read here for more information about this semester's book selection and reading schedule.
Selected Reading for This Semester
The selected readings for this semester will be from articles written by various authors on the topic of AI.
Meeting Place and Time Monday from 1:00 - 1:50 pm at the CLT
Located at the CLT.
CLT Book Club Calendar
Date Article January 29 Chan, C. K. Y. (2023). A comprehensive AI policy education framework for university teaching and learning. International Journal of Educational Technology in Higher Education, 20(1), 1–25 February 5 Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: the state of the field. International Journal of Educational Technology in Higher Education, 20(1), 1-22
Bearman, M., & Ajjawi, R. (2023). Learning to work with the black box: Pedagogy for a world with artificial intelligence. British Journal of Educational Technology, 54(5), 1160–1173.
February 12 Markauskaite, L., Marrone, R., Poquet, O., Knight, S., Martinez-Maldonado, R., Howard, S., ... & Siemens, G. (2022). Rethinking the entwinement between artificial intelligence and human learning: What capabilities do learners need for a world with AI?. Computers and Education: Artificial Intelligence, 3, 100056 February 26 Overono, A. L., & Ditta, A. S. (2023). The Rise of Artificial Intelligence: A Clarion Call for Higher Education to Redefine Learning and Reimagine Assessment. College Teaching, 1–4. March 4 Michel-Villarreal, R., Vilalta-Perdomo, E., Salinas-Navarro, D. E., Thierry-Aguilera, R., & Gerardou, F. S. (2023). Challenges and Opportunities of Generative AI for Higher Education as Explained by ChatGPT. Education Sciences, 13(9), 856 March 11 Wang, T., Lund, B. D., Marengo, A., Pagano, A., Mannuru, N. R., Teel, Z. A., & Pange, J. (2023). Exploring the Potential Impact of Artificial Intelligence (AI) on International Students in Higher Education: Generative AI, Chatbots, Analytics, and International Student Success. Applied Sciences (2076-3417), 13(11), 6716. March 18 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), 1–18. March 25 Denecke, K., Glauser, R., & Reichenpfader, D. (2023). Assessing the Potential and Risks of AI-Based Tools in Higher Education: Results from an eSurvey and SWOT Analysis. Trends in Higher Education (2813-4346), 2(4), 667–688 April 1 Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., ... & Wright, R. (2023). “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, 102642.
