Generative AI
Generative AI
Resources to build your understanding of Generative AI, develop AI competencies, and future proof student learning. What do you want to know more about? Contact Denise.Henry@csupueblo.edu to explore use in your space.
Embedded Files
🤔 What is Generative AI?
🤔 What is Generative AI?
🌟 AI: Institutional, Faculty, Student, & Staff Level
🌟 AI: Institutional, Faculty, Student, & Staff Level
🧠 Classroom Resources
🧠 Classroom Resources
Use AI as a personal assistant to create learning materials for diverse groups of learners then teach them to do it for themselves.
🎧 Listen to the Podcast
Listen time 40:00
👀 Watch the Video Below
Watch time 6:48
Reaching_Every_Learner.mp4Lesson Design
Lesson Design
AI Student Competencies with Example SLOs and Student Activities
Multidisciplinary Faculty Example Assignments from Barnard College
Self-Paced Learning
Self-Paced Learning
Stanford University DIY Workshop Kits for AI
AI in Teaching and Learning Literature: Interact with the agent in a NotebookLM packed with literature
Self-enroll in the Bb course, Improving Learning Through Assignment Design then view Module 2, AI in Teaching and Learning.
Student Use
Student Use
Denise and Christi provide 1:1. small group, and in-class active learning lessons to share the what and how of AI-enhanced teaching and learning. They have been experimenting with teaching and learning with AI since 2023 in courses ranging from 100 to 700 levels.
Denise Henry, Director of the Center for Teaching, Learning, and Leadership
denise.henry@csupueblo.edu
Christi Sperber, Science Learning Center Coordinator, MAPS Outreach Specialist, Intro Chem Course Instructor
elly.sperber@csupueblo.edu
✅ References
✅ References
AI Literacy in Teaching and Learning (ALTL) Framework Kassorla, M., Georgieva, M., & Papini, A. (24, October 17). AI Literacy in Teaching and Learning: A Durable Framework for Higher Education. EDUCAUSE.edu. Retrieved May 20, 2025, from https://www.educause.edu/content/2024/ai-literacy-in-teaching-and-learning/executive-summary.
Chan, C. K. Y., & Lee, K. K. W. (2023). The AI Generation gap: Are Gen Z Students More Interested in Adopting Generative AI Such as ChatGPT in Teaching and Learning than Their Gen X and Millennial Generation teachers? Smart Learning Environments, 10(1). https://doi.org/10.1186/s40561-023-00269-3
Issa, T., & Hall, M. (2024). A teamwork framework for preventing breaches of academic integrity and improving students’ collaborative skills in the AI era. Heliyon, 10, e38759. https://doi.org/10.1016/j.heliyon.2024.e38759.
Kohnke, L., Zou, D., Ou, A. W., & Gu, M. M. (2025). Preparing future educators for AI-enhanced classrooms: Insights into AI literacy and integration. Computers and Education: Artificial Intelligence, 8, 100398. https://doi.org/10.1016/j.caeai.2025.100398.
Longo, F., Padovano, A., De Felice, F., Petrillo, A., & Elbasheer, M. (2023). From “prepare for the unknown” to “train for what’s coming”: A digital twin-driven and cognitive training approach for the workforce of the future in smart factories. Journal of Industrial Information Integration, 32, 100437. https://doi.org/10.1016/j.jii.2023.100437.
Moses, J., & Hall, D. T. (2023). Careers and their motivators are changing. Organizational Dynamics, 52, 101008. https://doi.org/10.1016/j.orgdyn.2023.101008.
Owoseni, A., Kolade, O., & Egbetokun, A. (2024). Generative AI in Higher Education: Innovation Strategies for Teaching and Learning (1st ed.). Palgrave Macmillan. https://doi.org/10.1007/978-3-031-60179-8.
Perkins, Mike, et al. “The AI Assessment Scale Revisited: A Framework for Educational Assessment.” ArXiv (Cornell University), 12 Dec. 2024, https://doi.org/10.48550/arxiv.2412.09029.
Promma, W., Imjai, N., Usman, B., & Aujirapongpan, S. (2025). The influence of AI literacy on complex problem-solving skills through systematic thinking skills and intuition thinking skills: An empirical study in Thai gen Z accounting students. Computers and Education: Artificial Intelligence, 8, 100382. https://doi.org/10.1016/j.caeai.2025.100382.
Robert, J., Muscanell, N., McCormack, M., Pelletier, K., Arbino, N., Young, K., Reeves, J., & Arnold, K. (2025). 2025 EDUCAUSE Horizon Report® Teaching and Learning Edition. In EDUCAUSE. EDUCAUSE. https://library.educause.edu/-/media/files/library/2025/5/2025hrteachinglearning.pdf
Suarez, D., & Brown, V. (2025, March 16). NOTEBOOKLM: REVOLUTIONIZING LEARNING FOR STUDENTS WITH NEURODIVERT CHALLENGES USING AI AND UNIVERSAL... ResearchGate; unknown. https://www.researchgate.net/publication/389888571_NOTEBOOKLM_REVOLUTIONIZING_LEARNING_FOR_STUDENTS_WITH_NEURODIVERT_CHALLENGES_USING_AI_AND_UNIVERSAL_DESIGN_PRINCIPLES
The AI Assessment Scale (AIAS) Perkins, M., Furze, L., Roe, J., & MacVaugh, J. (2024). The Artificial Intelligence Assessment Scale (AIAS): A Framework for Ethical Integration of Generative AI in Educational Assessment. Journal of University Teaching & Learning Practice, 6(21). https://doi.org/10.53761/q3azde36.
Wang, K.-H., & Lu, W.-C. (2025). AI-induced job impact: Complementary or substitution? Empirical insights and sustainable technology considerations. Sustainable Technology and Entrepreneurship, 4, 100085. https://doi.org/10.1016/j.stae.2024.100085.
Zirar, A., Ali, S. I., & Islam, N. (2023). Worker and workplace Artificial Intelligence (AI) coexistence: Emerging themes and research agenda. Technovation, 124, 102747. https://doi.org/10.1016/j.technovation.2023.102747.
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