AI Learning & Teaching Hub

Teaching with AI requires more than new tools. It requires thoughtful choices.

AI Learning & Teaching Hub

The AI Learning and Teaching Hub brings together campus‑specific guidance, faculty examples, and practical resources to help instructors integrate AI in ways that support learning, integrity, and student success.

This hub invites faculty to:

Start with learning goals, not technology—using AI only when it clearly supports what students are meant to learn
Design assignments that promote thinking, reflection, and transparency, rather than shortcuts or surveillance
Model ethical and responsible AI use so students learn how to engage with AI thoughtfully in academic and professional contexts
Support accessibility and inclusion by considering how AI tools may reduce barriers—or introduce new ones
Experiment, reflect, and iterate over time, recognizing that effective teaching with AI is an evolving practice, not a one‑time decision

Whether you are exploring AI for the first time or redesigning courses and assignments, this hub is designed to support informed decision‑making, pedagogical clarity, and faculty agency at every stage.

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CRTLE AI Course Redesign Institute For Faculty

In collaboration with partner units across the university.

May 14, 2026 | 9:00 a.m.–2:00 p.m.
Center for Research on Teaching and Learning Excellence (CRTLE)
In person with hybrid participation in Trinity 105 and simultaneous on Teams | Limited to 30 in person participants

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Getting Started with AI & Teaching

This page supports University of Texas at Arlington faculty who are beginning to explore artificial intelligence (AI) in teaching and learning. It is intentionally designed to be beginner‑friendly and low‑pressure, drawing on resources from the AI Course Redesign Institute, CRTLE‑curated materials, and campus‑wide AI guidance.

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How Faculty Are Using AI in Teaching

Faculty who presented at the CRTLE AI Course Redesign Institutes (August 2025 and October 2025) shared concrete, classroom‑tested ways they are using AI to support learning rather than replace it. Instructors described designing assignments where students use AI to generate study question banks from course content, training discipline‑specific models on students’ own work to support creative iteration in design studios and using AI‑supported feedback tools to help students reflect on performance and improve skills.

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Writing Student Learning Outcomes for AI Literacy

This page guides faculty in developing clear, UNESCO‑aligned AI literacy learning outcomes for their courses. It outlines foundational, application‑focused, and ethical approaches to integrating AI into existing assignments. Faculty also gain practical strategies and CRTLE support for assessing and strengthening students’ responsible AI use.

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Author Event

Embracing AI as Essential Learning: Preparing Students for Life Beyond College

Simulations, Custom Bots and New Assignments for Learning in the AI Era

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Software Approval: Three‑Part Process

This process ensures every technology tool meets UTA’s standards for system alignment, accessibility compliance, and information security. All three steps—OIT Review, TAPREQ Approval, and ISO Risk Assessment—must be completed before implementing new software.

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Upcoming AI Events

From curiosity to course redesign: AI support for faculty at every stage

Explore a range of AI-focused workshops, institutes, and collaborative initiatives designed to support faculty at every stage—from initial exploration to full course redesign.

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