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Human-Centered Teaching With AI for UDL, Engagement, and Efficiency

Presented by:

Sally Barton-Arwood, Belmont University

AI can support UDL-aligned teaching by enhancing accessibility, engagement, and literacy while modeling reflection, human judgment, and responsible use for both students and faculty.

Hear it from the author:
Human-Centered Teaching With AI for UDL, Engagement, and EfficiencySally Barton-Arwood, Belmont University
00:00 / 01:21
Hello. My name is Sally Barton-Arwood, and I am a faculty member in the College of Education at Belmont University in Nashville. Thank you for previewing my poster, “Human-Centered Teaching with AI for UDL, Engagement, and Efficiency.” The purpose of this work is to explore how artificial intelligence can serve as a thought partner for faculty—helping us generate ideas, create first drafts of teaching materials, and support student learning—while keeping our teaching grounded in inclusive, human-centered pedagogy. This poster highlights three outcomes: how AI can support UDL-aligned instruction, how it can strengthen student digital literacy and deeper learning, and how faculty can model ethical and transparent use of AI so that equity and human judgment remain central. You’ll also see a strategies table with classroom applications—like generating multiple representations of a concept, designing low-stakes quizzes, and brainstorming projects connected to students’ interests. And I’ve included guiding questions to spark conversation when we meet together in October. In short, this poster emphasizes that AI can enhance and expand teaching when used thoughtfully—always to augment, not replace, the human relationships at the heart of education. Thank you, and I look forward to the conversation.
Key words:

Generative AI, Universal Design, Inclusive Pedagogy

Abstract:

When used responsibly, generative AI offers one option for supporting Universal Design for Learning (UDL)-aligned instruction. This poster explores how faculty can thoughtfully integrate AI tools to enhance student engagement, accessibility, and digital literacy while managing instructional workload. Rather than replacing human instruction, AI can serve as a thought partner that helps faculty scaffold deeper learning and personalize teaching. Students benefit from seeing AI modeled transparently, with emphasis on critique, reflection, and human judgment. Grounded in inclusive pedagogy and current educational research, this session provides practical strategies and examples for using AI to support—but not replace—teaching and learning.

Outcomes:

1. Identify potential benefits of using AI to support UDL-aligned instruction, including strategies that promote engagement, accessibility, and inclusive design.
2. Recognize ways AI can serve as a thought partner in supporting student digital literacy, reflection, and deeper learning without replacing human judgment.
3. Consider ethical and practical guidelines for modeling responsible AI use in higher education, grounded in inclusive pedagogy and transparency.

References:

CAST. (2018). Universal design for learning guidelines version 2.2. http://udlguidelines.cast.org


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. https://doi.org/10.1016/j.lindif.2023.102274


Saborío-Taylor, S., & Rojas-Ramírez, F. (2024). Universal design for learning and artificial intelligence in the digital era: Fostering inclusion and autonomous learning. International Journal of Professional Development, Learners and Learning, 6(2).


Zou, D., Wang, F. L., & Xie, H. (2023). A systematic review of AI applications in higher education: Learning analytics, teaching support, and student assistance. Computers & Education: Artificial Intelligence, 4, 100123. https://doi.org/10.1016/j.caeai.2023.100123

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