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Artificial Intelligence in Education

Welcome to the “Artificial Intelligence in Education” group!
This group is dedicated to exploring the intersection of artificial intelligence (AI) and education within the City University of New York (CUNY) community.

Our group aims to bring together educators, researchers, students, and anyone interested in the transformative potential of AI in the field of education. By fostering collaboration and knowledge exchange, we strive to deepen our understanding of how AI can enhance teaching and learning experiences, promote personalized education, and address educational challenges.

In this group, we encourage discussions, sharing of research findings, innovative ideas, and best practices related to AI in education. Whether you are new to AI or an experienced practitioner, this group offers a platform to engage in meaningful conversations, explore cutting-edge technologies, and leverage AI tools and methodologies to improve educational outcomes.

Topics for discussion may include, but are not limited to:

1. AI-powered adaptive learning systems
2. Intelligent tutoring systems and personalized education
3. Natural language processing and language learning
4. Exploring the Role of Machine Learning in Analyzing Educational Data.
5. Ethical Considerations and privacy issues in AI-driven Education
6. Augmented and virtual reality in educational settings
7. Robotics and AI for STEM education
8. AI-enabled assessment and feedback mechanisms
9. Chatbots and virtual assistants in educational support
10. AI and accessibility in education

We encourage group members to share resources, research papers, case studies, and success stories related to AI in education. By fostering a collaborative and inclusive environment, we aim to collectively advance our knowledge, address challenges, and explore the possibilities of AI to shape the future of education at CUNY.

Join us in this exciting journey as we explore the transformative potential of artificial intelligence in education. Together, let’s uncover innovative approaches and discover new opportunities to enhance teaching, learning, and student success.

Note: This group is not affiliated with any specific department or institution within CUNY and welcomes participants from across the university community interested in AI in education.

Admins:

CFA: GC TLC Focused-Inquiry Group on AI & Open WebUI

  • Calling all CUNY Graduate Center students in this group!

    I’m excited to invite you to apply for the focused inquiry group I’ll be running in Spring 2026 through the GC’s Teaching and Learning Center. Participants will receive a $500 stipend to collaborate on developing critical AI methods and teaching practices to scale sustainably at the GC and throughout CUNY.

    The newly extended deadline for submission is Monday, Oct. 20, 2025. Please see the CFA below for more info:

    AI and Open WebUI Working Group

    Building on Fall 2025’s AI workshop series, this Focused Inquiry Group shifts from policy and critique to practice and experimentation through engagement with Open WebUI, an emerging open-source AI platform used by researchers at the CUNY Graduate Center.

    This FIG seeks to cultivate a community of practice among graduate students who will document, test, and refine approaches to integrating open-source AI infrastructure into their research or teaching while contributing to the disciplinary and pedagogical formation of the Open WebUI platform.

    No prior knowledge of generative AI or large language models (LLMs) is required. However, we do ask that participants be willing to experiment and tinker under the hood with open digital tools.

    Participants will be paid a $500 stipend.

    We welcome applicants who demonstrate:

    • Interest in instructional design, digital pedagogy, and/or open educational resources
    • A conscientious approach to generative AI within their research or academic discipline
    • Commitment to collaborative documentation and reflection on teaching experiments
    • Willingness to engage critically with the possibilities & limitations of AI tools in education

    Eligibility

    To be a currently enrolled Graduate Center student.

    Requirements:

    FIG participants will meet at least once a month throughout the Spring 2026 semester.

    How To Apply

    • Email a single PDF to [email protected] by Monday, October 20, 2025.
    • Name your file: LastName_OpenWebUIFIG26.pdf

    This document should contain:

    1. A two-page CV
    2. A statement of interest (maximum 500 words) that responds to these prompts:
      • What kinds of encounters, practices, or projects have shaped your experience with generative AI so far?
      • How do you understand its emerging impact on your discipline, and in what ways might you approach this impact through experimentation, tinkering, or critical intervention?
      • What specific research questions, pedagogical challenges, or scholarly projects of yours might benefit from participating in this working group?

    If you have questions, please contact Zach Muhlbauer at [email protected].

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