University of North Texas 
AI Support Initiative
LEEF's mission is to ensure all UNT educators’ well-being by supporting their growth as they support our students. As part of this, one of our current focuses of assistance is AI in higher education. Because our aim is to find innovative ways to meet every educator’s individual needs, we offer many types of AI support across diverse platforms.
The university has identified AI implementation as a priority initiative. AI is at the core of the educational challenges we currently face, and will remain there for the foreseeable future. While individual opinions and usage of AI differ, faculty, staff, and students are already experimenting with the technology and benefit from guidance on how to use it responsibly.
Semester-long & Yearlong Programs
Instructor use of AI
A semester-long faculty development experience designed to help instructors thoughtfully
integrate generative AI into teaching and learning. Through a combination of self-paced learning, collaborative discussions, peer feedback,
and hands-on application, participants explore both the opportunities and challenges
of AI in higher education.
Instructor use of AI
The AI in the Classroom Community of Practice (CoP) is a year-long faculty leadership
initiative designed for educators who have already completed GAIT training (or have significant experience using AI) and are ready to explore more advanced
applications of generative AI in teaching, learning, and curriculum design.
Single-Day Workshops
Instructor use of AI
This introductory virtual workshop is designed specifically for educators with little
to no prior experience in AI. Through hands-on demonstrations and real-world examples,
faculty will leave equipped with actionable strategies to begin engaging with AI and
integrating it into their teaching practice to enhance instruction, streamline administrative
tasks, and support student success.
Monday, September 21, 2026. 2:00pm to 3:00pm.
Monday, September 21, 2026. 2:00pm to 3:00pm.
Student use of AI
This virtual session will explore the complex dynamics of student motivation and academic
integrity. Participants will examine the psychological and contextual factors that
influence why students engage in dishonest behavior, facilitated by the advent of
generative AI, and how institutional and classroom practices can either discourage
or inadvertently encourage these actions.
Friday, October 16, 2026. 11:00am to 12:00pm.
Friday, October 16, 2026. 11:00am to 12:00pm.
Instructor use of AI
Join Curtis J. Bonk, Distinguished Professor at Indiana University, as he explores
how educators can harness generative AI to enhance learning. Discover practical ways
AI can support critical and creative thinking, collaboration, and student motivation
while fostering meaningful and engaging learning experiences.
Tuesday, October 20, 2026. 11:30am to 12:30pm.
Tuesday, October 20, 2026. 11:30am to 12:30pm.
Instructor and student use of AI
Join Dr. Jinhee Kim, Assistant Professor at Old Dominion University, as she explores
the evolving relationship between humans and AI in education. Learn how collaborative
intelligence can shape teaching and learning, enhance human–AI interaction, and support
more effective and meaningful educational experiences.
Tuesday, November 17, 2026. 12:00pm to 1:00pm.
Tuesday, November 17, 2026. 12:00pm to 1:00pm.
Student use of AI
In this intermediate-level virtual workshop, we'll explore strategies for faculty
to help students engage with AI tools more critically, understand their capabilities
and limitations, and reflect on ethical implications. Participants will consider practical
classroom activities and assignment designs that promote thoughtful, responsible use
and critical evaluation of AI by students.
Tuesday, December 1, 2026. 2:00pm to 3:00pm.
Tuesday, December 1, 2026. 2:00pm to 3:00pm.
Resources
Faculty, Staff
Need some individual help? Senior Teaching & Learning Design Specialist Austin Haynes is happy to help. To schedule your consultation, reach out to austin.haynes@unt.edu.
Faculty
A guide on how to use Turnitin in Canvas to identify if assignment content has been
plagiarized or generated by AI.
Faculty, Staff, Students
Created by the LEEF team, these documents translate research into practical, actionable
guidance for educators. Each brief summarizes the research purpose and context, highlights
key findings, and provides recommendations for educational practice.
The Learning Institute has published briefs on generative AI guidelines, use of AI in academic writing, and human-AI interaction in active STEM learning.
The Learning Institute has published briefs on generative AI guidelines, use of AI in academic writing, and human-AI interaction in active STEM learning.
Faculty, Staff, Students
Host Carrie Allen (LEEF Executive Director, Associate Professor of Learning Sciences
at University of North Texas) and Chris Hoadley (Director of the Institute for Learning
Sciences at the University at Buffalo) discuss Hoadley's journey into the learning
sciences, design-based research and the role of artificial intelligence in education.
Faculty, Staff, Students
With a long history of using electronic artistic processes, David Stout uses AI as
just another creative tool. Read LEEF's interview with him and learn why he was drawn
to “a huge field of possibility and play.”
Faculty, Staff
The Learning Institute funds and supports research projects that aim to deepen our
understanding of the learning sciences and technologies. Upon completion, research
teams will share their findings and outcomes with the broader campus. Many selected
projects revolve around AI, including in math education, entomology, data science,
technical writing, professional networking, and vibe coding.
Faculty, Staff
The Learning Institute's communities of research are working groups made up of LI
members engaged in complementary, interdisciplinary scholarship around a topic. Focuses
include AI-assisted computing education, AI as a metacognitive partner in STEM education,
and AI-mediated language and communication environments for students.
External resources
Faculty, Staff
This extensive collection offers AI prompts designed to assist with various tasks,
from lesson planning and assessments to communication and administrative duties.
Faculty, Staff, Students
Stay informed about the latest generative AI tools relevant to higher education with
Ithaka S+R's Generative AI Product Tracker. This comprehensive list features AI products
specifically designed for or actively used by postsecondary faculty and students in
teaching, learning, and research.
Faculty, Staff, Students
In this book, author Ethan Mollick offers an engaging exploration of how AI is transforming
our academic, professional, and personal lives. Mollick challenges readers to view
AI systems as "alien minds" — both familiar and strange — and provides insights into
identifying tasks best suited for humans, such as those fostering creativity and critical
thinking. Available as an ebook through UNT Libraries.
Faculty, Staff, Students
Stay at the forefront of AI's impact on education and the workplace with "One Useful
Thing," a research-based newsletter by Ethan Mollick. Discover timely updates on new
AI products and capabilities, along with insightful prompts and practical guidance
on integrating AI into your professional and academic life.
Faculty, Students
Unsure how to disclose your use of AI? This guide from Monash University provides
templates and examples for AI acknowledgments and citations, as well as suggestions
for documenting AI use.
Faculty
Educators looking to incorporate AI into their teaching can explore this curated collection
of assignments from The AI Pedagogy Project. Sourced from instructors worldwide,
they cover topics such as AI literacy, ethics, creative applications, and critical
thinking. Each assignment provides practical strategies for engaging students with
AI tools while fostering critical engagement and deeper learning across disciplines.
Faculty, Staff, Students
This podcast helps you stay up to date on the latest trends in artificial intelligence. Produced by Cognilytica, a research and advisory firm specializing in AI and related technologies, AI Today features a wide range of guest experts from industry, government, and academia. It covers a wide range topics such as machine learning, AI ethics, and new innovations in a clear and accessible manner.
Faculty
Written by Emmanuel K. Nartey, a senior lecturer in law at Bath Spa University, this book offers practical guidance for integrating generative AI in teaching and learning
in higher education. It combines historical background, ethical considerations, and practical strategies to help educators navigate AI's opportunities and risks. Though drawing from UK institutions, its frameworks apply broadly to global academic contexts. Available as an ebook through UNT Libraries.
Students
Developed by the University of Glasgow, this self-paced online course explores how
to use AI responsibly in your academic work. It covers key topics like AI’s role in
research, ethical concerns, and academic integrity. Gain practical skills in finding
and evaluating sources, analyzing data, and refining your writing with AI. This course
is especially useful for those conducting original research and wanting to better
understand AI’s limitations and best practices.
Join Coursera for UNT and login with your UNT credentials to enroll for free.
Join Coursera for UNT and login with your UNT credentials to enroll for free.
Students
Develop the knowledge and skills to use GenAI effectively and responsibly in your
academic work and beyond with this online, asychronous microcredential that is designed
for UNT undergraduates and graduate students of all majors, interests, and career
goals. It is free for all UNT faculty, staff, and students.
Faculty
Developed by three faculty members from the University of Arkansas and West Virginia
University, this guide explores ten key premises for critically engaging with generative
AI in writing studies. While the title suggests rejection, Refusing Generative AI
encourages informed decision-making about AI’s role in the classroom, addressing its
ethical, pedagogical, and institutional impacts.
Faculty
Explore a curated collection of AI policy statements from UNT's peer institutions.
These diverse approaches to generative AI — ranging from acceptance and integration
to stricter limitations — offer valuable insights for crafting your own AI policies.
Faculty
How can educators thoughtfully and responsibly integrate generative AI into their teaching? Conceived in 2023, this open-access textbook explores the opportunities and challenges of AI in higher education, providing practical strategies for various disciplines. Covering topics like ethical considerations, assignment design, and critical engagement
with AI tools, Teaching and Generative AI helps instructors make informed decisions about incorporating AI into their classrooms.
Faculty
Reimagine your teaching practices with this book by José Antonio Bowen and C. Edward Watson. It encourages faculty to embrace AI literacy
as a core competency, emphasizing critical thinking and responsible AI use. Discover
adaptable prompts and strategies for integrating AI into your classroom without relying
on one-size-fits-all solutions. Available as an ebook through UNT Libraries.
Faculty, Staff, Students
This curated playlist of TED Talks explores some of the most pressing and consequential
issues in artificial intelligence today. Featuring leading experts from different
disciplines and industries, these talks examine both the promise and the perils of
AI technologies. Topics range from technical areas like machine learning and robotics
to broader questions of creativity, ethics, and the future of work.
Faculty, Staff, Students
Created by the UNT Libraries, this guide introduces AI with a focus on its applications
in teaching, learning, and research. It includes curated resources, tools, practical
guidance, and a glossary of AI terms, helping users navigate AI’s challenges, learn
about its tools, and find additional support.
Faculty, Staff, Students
Curious about the limitations and risks of AI? AI as Normal Technology critically examines the hype surrounding AI technologies, separating fact from fiction.
Written by AI researchers Arvind Narayanan and Sayash Kapoor, this blog provides insightful analyses on claims about AI’s capabilities,
ethics, and real-world impact.
Faculty, Staff, Students
Explore a growing repository of over 1,500 news articles from May 1, 2023, to today.
Created and regularly updated by Casey Fiesler, this sortable spreadsheet is organized
into 14 categories, such as bias, misinformation, and sustainability, providing an
easy way to delve into key topics in AI ethics and policy.
Faculty, Staff, Students
Curious about AI but not a tech expert? Produced by the University of Texas at Austin, this podcast makes artificial intelligence approachable for all audiences. Hosted by Marc Airhart, a science writer, and Professor Casey Boyle, Director of the Digital Writing and Research Lab at UT, the series explores AI’s impact on society, education, and daily life through conversations with academic and industry experts.
Faculty, Staff, Students
Access a wealth of open-access resources on AI policy with the Artificial Intelligence
Policy Collection. Developed and maintained by the UNT Libraries, this collection
provides overviews, implementation plans, guiding frameworks, and resources for implementing
AI and machine learning in diverse environments. Discover documents published by Federal
agencies, NGOs, and international, state, and local governments.
Faculty, Staff, Students
Explore the ethical, legal, and policy challenges posed by artificial intelligence
in this book by Gary Marcus. This forceful critique of Big Tech examines pressing issues such as
data privacy, misinformation, and the lack of regulation, while offering actionable
policy solutions. Well-suited for those seeking a deeper understanding of the ethical,
technological, and policy dimensions of AI. Available as an ebook through UNT Libraries.
Want More?
Because we are an ecosystem, LEEF is constantly changing and growing. We are also listening because we can’t meet your needs if we don’t know what they are. Is there a form of support we aren’t offering? Do you have an idea you’d like to share? Please let us know at learning.ecosystem@unt.edu.