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The University of Tennessee Knoxville College of Arts & Sciences

Call for Proposals:
Exploring the Use and Integration of Generative AI Tools in Classroom Activities

As technology continues to advance, the field of higher education faces new opportunities to enhance teaching and learning methodologies. Generative AI technology, powered by machine learning algorithms, offers innovative ways to engage students, foster creativity, and streamline various educational processes, while also creating many pressing challenges and potential impacts, e.g., academic dishonesty.

Given the potential effects, opportunities, and challenges of this emergent technology for the ways our course instructors and students engage in learning, the College of Arts and Sciences, in collaboration with the AI Tennessee Initiative, invites faculty, staff, and graduate students to submit proposals exploring the impact and integration of generative AI tools in classroom activities, e.g., teaching, learning, monitoring, and assessment.

This call for proposals aims to support efforts that explore the following areas:

Developing robust assessment, monitoring, and pedagogical methods in classroom activities that leverage opportunities, or respond to issues, created by generative AI technology.
Creating classroom activities for learners that utilize generative AI technology.
Raising student digital literacy/awareness on appropriate use of generative AI tools in learning and doing research.
Developing approaches that use generative AI technology for formative feedback in classroom activities.
Responding to disciplinary specific concerns/opportunities.
Examining intrinsic bias of generative AI technology (e.g., data/algorithmic/contextual bias, lack of ethical consideration), and bias in the use of generative AI technology (e.g., accessibility and digital divide).
Other AI-related topics with significant connection to classroom activities in higher education will also be considered.

Proposal Guidelines

Proposals will be accepted from current faculty, staff, and graduate teaching/research assistants in all college academic units.

Proposals will be accepted from either individuals or teams. PIs are encouraged to collaborate across divisions and departments to bring multidimensional perspectives to their proposals.

Proposals should clearly indicate the chosen direction(s) from the provided list.

PIs are encouraged to articulate the potential impact, benefits, and challenges of integrating generative AI tools in their chosen area(s).

Full proposals should be no longer than two pages.

Selection and Funding

The college will fund three to five projects from each division (Arts & Humanities, Social Sciences, Natural Sciences & Mathematics) for a total of nine to 15 projects.

Proposals will be evaluated based on their alignment with the chosen direction(s), potential impact, feasibility, and scholarly merit.

Depending upon the scope and merit of a proposal, funding will be offered as stipend in the range of $500-$1,500 for one semester with the possibility of extension into spring 2024 with additional funding. Based on merit, projects might receive additional funding to support activities, tool acquisition, professional development, and dissemination of findings.

Projects are to be completed by the end of the fall 2023 term.

Funded recipients will be expected to share their results, experiences, and best practices with the UT and College of Arts and Sciences community through workshops, seminars, the college website, and/or scholarly publications.

Submission and Important Dates

Expression of Interests are due August 24, 2023, via this Google form.
Approved Expressions of Interest will be invited to submit full proposals by August 31, 2023.
Proposals should be submitted in electronic format no later than September 15, 2023, via this Google form.
Notifications of the selection outcomes will be sent by September 25, 2023.
The anticipated project duration is fall 2023.
A workshop will be organized in early spring 2024 for the funding recipients to share their results, experiences, and best practices.
After the workshop, the college plans to spearhead an effort to develop an NSF proposal based on findings from the projects funded by this RFP.

We look forward to receiving your innovative proposals that explore the potential of generative AI tools in teaching, learning, monitoring, and assessment in our college. Together, let's unlock new avenues for teaching and learning, fostering student success and engagement.

For any inquiries or further information, please email Associate Dean for Academic Programs Liem Tran.

College of Arts and Sciences AI Educational Campaign Steering Committee

Liem Tran, Associate Dean for Academic Programs

Michael Blum, Associate Dean for Research and Creative Activity

Beauvais Lyons, Divisional Dean for Arts and Humanities

Kate Jones, Divisional Dean for Natural Sciences and Mathematics

Patrick Grzanka, Divisional Dean for Social Sciences

Contact Us

College of Arts & Sciences
312 Ayres Hall
1403 Circle Dr.
Knoxville, TN 37996-1330
865-974-5332
artsci.utk.edu

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