Submit a poster proposal for the AI in Teaching and Learning Poster Session at the 2027 AI in Teaching and Learning Summit, which will be held January 29, 2027, at the Iowa Memorial Union.

Share work, ideas, questions, lessons learned, innovations, research findings, assessment data, and/or experiences related to AI, teaching, and learning. Posters that explore the opportunities, challenges, implications, and realities of teaching and learning in an evolving AI landscape are welcome. The focus of this session is thoughtful and intentional work centered on teaching and student learning.

Submissions representing a wide range of perspectives and approaches are welcome. Posters may showcase work from educators who use AI as part of their teaching and students' learning, teach students about AI, critically examine its impact, explore its limitations, or intentionally limit its use in specific teaching and learning contexts. The session's goal is to bring together a range of ideas, experiences, and perspectives to foster conversations about AI, teaching, and learning across campus.

The work presented may be completed, in progress, or shared to gather feedback from colleagues. While proposals can take many forms, presenters should draw on evidence-informed instructional practices, reflection, assessment data, and/or relevant literature and scholarship when appropriate. Presenters are also encouraged to highlight insights, lessons learned, or implications that may be relevant to educators across a variety of disciplines and instructional contexts.

What kinds of work fit this session?

Possible poster topic and approaches might include:

• Share a course design, activity, assignment, and/or instructional practice that leverages AI to support student learning.
• Describe the adaptation of course design, activity, assignment, and/or instructional practice in response to challenges imposed by AI.
• Discuss an instructional approach, activity, or assignment that did not work as expected but led to useful lessons learned and insights.
• Introduce timely questions, challenges, or curiosities related to AI, teaching, and learning and invite conversation about possible strategies or approaches.
• Share approaches for helping students develop AI literacy, critically evaluate AI outputs, engage with AI ethically, and/or understand AI within disciplines.
• Describe a departmental curriculum, policy, or initiative that helps students think about and/or engage with AI in ethical and responsible ways.
• Present research, assessment data, or Scholarship of Teaching and Learning (SoTL) findings related to AI, teaching, and learning.

What makes a strong proposal?

The goal of this poster session is to create space for conversations about AI, teaching, and learning, and for participants to learn from one another. Attendees will bring a range of disciplinary perspectives, teaching contexts, experiences with AI, and approaches to navigating AI within teaching and learning. Proposals should invite conversation, lessons learned, and/or highlight insights relevant to a range of academic disciplines and contexts.

Please make sure that:

• The work is clearly described and easy for a general academic audience to understand.
• Discipline-specific terminology is minimized or briefly explained when necessary.
• The connection to AI, teaching, and learning is explicit and clear.
• The proposal highlights insights, lessons learned, and/or implications that may be useful and actionable for a range of academic colleagues.
• The work draws on evidence-informed teaching practices, instructor reflection, assessment data, and/or relevant literature and scholarship when appropriate

Proposal Timeline

• The call for proposals is open now
• Proposal Deadline: November 15, 2026 (11:59 p.m.)

Presenters will be notified of proposal decisions by early December.

Proposal Submission Process

Interested poster presenters are invited to submit a poster title, a brief abstract (maximum 350 words), and responses to two short questions through this online application form.  

The names, roles, departments, poster titles, and abstracts of accepted presenters will be included in the online AI in Teaching and Learning Summit program. This application cannot be saved, so be sure to have all the information needed before starting, including:

• Names and information of all authors
• Abstract (max 350 words)
• Please briefly describe any evidence-informed teaching practices, assessment data, educational research, Scholarship of Teaching and Learning (SoTL), relevant literature, teaching experiences, and/or personal reflection that have informed this work (max 100 words).
• What insights, lessons learned, questions, implications, and/or practical strategies from this work may be relevant to a wide range of academic disciplines and contexts (max 100 words)?

Posters must fit on a 72"w × 40"h poster board (landscape poster). Although not required, it is recommended to start with the University of Iowa's academic poster template, which is designed for 48" × 36" posters or use a similarly sized poster template.

This application is due at 11:59 p.m. on Sunday, November 15.

Please contact Erin Foster Hartley at erin-foster@uiowa.edu with any minor revisions to the title or abstract after submission. Proposal decisions will be sent by email by early December.