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Doug Ward; Heidi G. Loshbaugh; Alison L. Gibbs; Tim Henkel; Greg Siering; Jim Williamson; Mark Kayser – Change: The Magazine of Higher Learning, 2024
In this article, the authors posit that generative artificial intelligence offers universities an opportunity to make long-needed structural changes in teaching and learning. Given the complexities of generative AI, faculty need time and resources to learn to use it effectively and to adapt classes in ways that help students approach AI ethically…
Descriptors: Artificial Intelligence, Faculty, Digital Literacy, Ethics
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Jia Zhang; Zhuo Zhang – Journal of Computer Assisted Learning, 2024
Background: AI can positively influence teaching by offering support for classroom management, creating inclusive learning environments, enhancing digital skills, personalizing teaching methods, and strengthening teacher-student relationships. Objectives: This quantitative research study investigates the opportunities, difficulties, and…
Descriptors: Inclusion, Teaching Methods, Computer Assisted Instruction, Barriers