Office of the Provost–Division of Faculty Success
Trinity Hall 106, 800 Greek Row Dr., Box 19128
The University of Texas at Arlington
Arlington, TX 76019
Phone: 817-272-7464 | Email: CRTLE@uta.edu
AI Teaching & Learning Initiatives at UTA
Artificial intelligence is rapidly shaping how we teach, learn, and assess—and CRTLE is here to help faculty engage with AI thoughtfully, ethically, and practically.
This spring, CRTLE is offering a series of AI‑focused workshops, institutes, and test‑kitchen experiences designed to support faculty at every stage—from those just beginning to explore AI tools to those ready to redesign courses and assignments with AI in mind. Our programming emphasizes pedagogical purpose over hype, grounding AI use in disciplinary contexts, student learning outcomes, and academic integrity.
In addition to CRTLE‑hosted events, this page also highlights related AI programming and communities across campus and beyond. This includes ongoing initiatives such as Pondering AI, the OIT AI Community of Practice, and select external opportunities (e.g., EDUCAUSE webinars and national conversations). Together, these offerings provide multiple entry points for faculty to engage with AI—locally, collaboratively, and at scale.
Across these events and communities, faculty will:
Signature offerings include the CRTLE AI Course Redesign Institute, interactive Technology Test Kitchen sessions, focused workshops such as Productive Struggling and Critical Thinking with AI, and opportunities to connect through Pondering AI and the OIT AI Community of Practice. Many events are offered hybrid or online to support flexible participation.
Whether you’re curious, cautious, or ready to dive in, these AI events and communities—at UTA and beyond—are designed to meet you where you are and help you move forward with confidence.
Key UTA Websites:
"Teaching with AI" is a flexible online program tailored for higher education faculty, instructional designers, and support staff designed to deepen participants' understanding of AI and empower them to seamlessly integrate it into their curricula. It features live discussion sessions that offer practical strategies for enhancing student engagement, personalizing learning experiences, and improving educational outcomes. Participants will explore real-world AI applications, engage in interactive activities, and collaborate with peers to develop actionable insights for their teaching practices. The 2-week online program includes 5 modules and takes a minimum 5-6 hours to complete. Participants will have access to the program for 1 year.
This course supports professionals engaged in instructional design, online and in person, in higher education as they integrate AI into their practice with intention and confidence. Through hands-on experimentation with generative and agentic AI, learners leave with immediately applicable artifacts, adaptable workflows, and personalized strategies for designing accessible learning experiences that fit their institutions. As expectations for speed, scale, and personalization continue to rise, this program helps professionals designing instruction strengthen their human expertise while using AI to work more effectively, efficiently, and sustainably.
AI is transforming how higher education operates—from streamlining administrative workflows to personalizing learning and accelerating research. This demo day highlights the latest AI-driven solutions designed to enhance teaching, learning, and institutional effectiveness. Explore tools that power creativity, boost productivity, and strengthen decision-making as leading solution providers demonstrate real-world applications shaping the future of higher education. Join us for several live 45-minute, rapid-fire sessions from our corporate solution providers as they present their AI solutions. Learn more about important considerations when implementing these systems, see the latest features, get your questions answered, and hear what your peers have to say.
📅Wednesday, May 20, 2026, 10:00AM–4:30PM ET
📍Online
ACUE Commons provides nationally grounded, research‑based AI pedagogy resources. CRTLE supports faculty in applying those ideas within UTA’s specific instructional, accessibility, and policy context.
ACUE Commons includes multiple 1–2-hour, self‑paced “Quick Studies” specifically focused on AI in teaching. Examples include:
These are framed around practical teaching decisions, not technical AI development, and are accessible to faculty with no prior AI experience.
If you are a faculty member, you already have an account and received an email invitation. You can also go to https://learn.acue.org/, enter your UTA email address, click "forgot password," and complete your first login using the auto-generated email.
OR
If you didn’t receive an invitation, email us at CRTLE@uta.edu and we can help you troubleshoot.
Go to https://learn.acue.org/ after you've logged in and created a username and password.
This session explores the evolving role of AI as a catalyst for enhancing student agency. Led by Dr. David Han, it presents evidence-based strategies for redesigning learning experiences that emphasize critical thinking, digital citizenship, and sustained student engagement in AI-integrated educational environments.
Facilitated by Dr. David Han, UT San Antonio
Thursday, April 9th, 1-2pm
Discover how to make the most of Khanmigo and IgniteAI—AI teaching tools already built directly into Canvas and ready for you to use today. This AI-focused hands on Test Kitchen session gives faculty a practical, low pressure space to try out lesson design ideas, explore AI supported activities for teaching design and assessment, and see how these tools can meaningfully enhance quiz creation, discussion boards, and more instruction adding complexity. With faculty interest in AI at an all time high, this session focuses on real, classroom ready strategies—when AI can help, when traditional approaches shine, and how to blend both with intention. Faculty are welcome to stay for the full experience or drop in for a shorter visit—whatever fits your day.
Full‑day institute focused on redesigning courses and assignments with AI in pedagogically sound ways
🗓️May 14, 2026 | 9:00 a.m.–2:00 p.m.
In‑person with hybrid components and follow‑up design sprint