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Instructional Support

Teaching and Learning with AI



Artificial Intelligence (AI) offers transformative opportunities to ethically and effectively further our institutional mission. The Office of Innovative Technologies is dedicated to actively educating our academic community on teaching and learning with artificial intelligence.

AI and Teaching

Watch our AI and Teaching video that underscores the importance of guiding students in ethical AI use to avoid misuse and suggests integrating AI into classroom activities to foster a culture of inquiry and curiosity. (3min 4sec)


Applications

Artificial intelligence in teaching and learning offers transformative tools such as personalized learning experiences, automated grading systems, and intelligent tutoring, significantly enhancing educational outcomes.

Learn more about Applications of AI in Education


Guidance & Guidelines

In light of the rapid evolution and adaptation of artificial intelligence technology, this page is dedicated to providing best practice recommendations. Our approach to AI must continuously reflect the University of Tennessee, Knoxville’s core values of leadership and service that define the Volunteer spirit.

Learn more about Guidance & Guidelines


Opportunities & Challenges

There are several advantages and disadvantages to using AI in teaching and learning efforts. Individual colleges, departments, and faculty need to decide how best they view the potentials and pitfalls of using it, in any forms, in their courses.

Learn more about Opportunities & Challenges


Prompt Literacy (strategies for writing prompts)

There is no one right way to craft a prompt for generative text tools. However, there are some techniques that may result in higher-quality outputs. Explore our prompt literacy content to learn the key elements of effective prompts.

Learn more about Prompt Literacy


Resources

View our curated list of books, guides, videos, and training opportunities designed to support your teaching and learning with AI journey.

View Resources