Conference on AI and Higher Education

Session Tracks and Formats

Session Tracks

  • This track highlights strategies faculty, honor systems, and institutions are using to address academic integrity challenges emerging from the use of AI, including assessment redesign, policy development, and student engagement approaches.

  • This track explores how AI is reshaping academic work, faculty roles, and the broader higher education workforce. Sessions address evolving expectations and practices for research, teaching, service, professional development, and new forms of collaboration.

  • This track showcases how colleges and universities are leveraging AI to improve institutional effectiveness and reimagine core operations. Sessions focus on strategy, infrastructure, cross-campus collaboration, and change-management efforts that align AI adoption with institutional mission, culture, and long-term transformation.

  • This track centers on the frameworks, policies, and ethical considerations guiding AI use in higher education. Sessions address institutional governance, data stewardship, equity, transparency, accountability, and the development of policies that balance innovation with responsibility.

  • This track features approaches that integrate AI into advising, student support services, career development, and co-curricular learning. Sessions examine how institutions are using AI to enhance student engagement, belonging, persistence, and workforce readiness while ensuring equitable access and support.

  • This track highlights innovative teaching practices, assessment strategies, and curricular redesign efforts that respond to the opportunities and challenges posed by AI. Sessions explore how faculty and programs are rethinking learning outcomes, assignments, feedback, pedagogy, and program structures to prepare students for an AI-infused world while strengthening meaningful learning, including innovations in faculty development.

Session Formats

Session length varies; please see individual session type descriptions for more information. All sessions, besides the Pecha Kuchas, are held in-person and online.
 

  • Provide colleagues time and pace to explore current work, recent or emerging findings, and/or new perspectives on AI in higher education. Facilitators begin with a brief presentation and then guide 20–25 minutes of interactive discussion that invites participants to exchange insights and strategies. Proposals should set context, identify the intended audience, and emphasize opportunities to explore new perspectives and strategies. (60 minutes)

  • Showcase exploratory or early‑stage AI‑enabled innovations that advance learning, student success, or institutional practice. Presenters offer a 20‑minute overview of the innovation, followed by 10 minutes of moderated discussion designed to surface emerging insights and engage participants. Proposals should establish context, identify the target audience, and describe the innovation’s potential impact, even when outcome data are limited or still developing. Two Innovation Sessions will be paired within each 60‑minute block. (20 minutes presentation with 10 minutes of discussion)

  • Engage participants in a traditional panel format featuring up to five panelists who explore a topic relevant to a conference track. Panelists offer complementary perspectives—for example, institutional, professional, programmatic, curricular, cocurricular, or disciplinary—and facilitate a conversation that highlights diverse viewpoints and emerging considerations. Proposals should articulate the topic’s relevance, describe the range of perspectives represented, and Proposals should describe the topic’s relevance and explain how the range of panelist perspectives will support a multifaceted exploration of the issue. (60 minutes)

  • Share concise, visually driven presentations that communicate creative work, research findings, or AI‑related practices connected to conference tracks. Presenters deliver 20 image‑based slides at 20 seconds each (6:40 total), followed by a combined 30‑minute discussion for all presenters in the session block. Proposals should clearly articulate the key idea or innovation conveyed through the Pecha Kucha ("chit chat" in Japanese) format. Three Pecha Kucha presentations will be paired within each 60‑minute slot. (6:40 minutes presentation + 30 minutes combined discussion)

  • Share visual models depicting AI‑enabled transformation across the campus ecosystem—including curriculum redesign, research workflows, student affairs initiatives, governance and policy frameworks, operational processes, data and analytics practices, ethical use guidelines, and institution‑wide integration strategies. Poster sessions provide opportunities for presenters to discuss practical applications with attendees. Proposals should describe the work’s context, focus, and relevance to AI adoption and implementation in higher education. (60 minutes)

  • Facilitate an informal, conversation‑based session focused on effective practices, programs, or emerging questions related to AI in higher education. Presenters introduce the topic and guide an open exchange in which attendees may share strategies, insights, questions, or concerns. Participants may rotate among several discussion topics or remain with one for the full session. Proposals should outline the topic’s relevance and describe how the discussion will support collective exploration. There will be no A/V provided for in-person roundtables. (60 minutes)

  • Offer an interactive opportunity to connect theory and practice by examining programs, models, or approaches to responsible AI integration. Facilitators present the scholarship, theoretical frames, and evidence informing their work, and then engage participants in critical reflection, discussion, or design‑based activities. Proposals should clearly articulate the theoretical grounding, practical application, and intended focus of participant engagement. (60 minutes)