Public Group active 1 month, 2 weeks ago

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:

What is the NAIRR?

  • About NAIRR Pilot
    What is the NAIRR?
    https://nairrpilot.org/about
    Artificial Intelligence (AI) holds the potential to accelerate discovery and innovation and reshape our modern workforce. However, many researchers and educators lack access to the AI resources necessary to fully conduct their research activities and to train the next generation. The National Artificial Intelligence Research Resource (NAIRR) is a concept for a shared national research infrastructure to bridge this gap by connecting U.S. researchers and educators to AI resources, namely computation, data, software, models, training, and educational materials to advance research, discovery, and innovation. Access to such infrastructure is expected to: accelerate AI and AI-powered Discovery and Innovation; expand the AI workforce and train the next generation of AI researchers and educators; increase capacity, integration, and use of world-class public and private-sector AI resources; and advance AI interpretability, security, and trust.

    For more information about this effort, please visit the NSF-hosted NAIRR Pilot website.

    How to Acknowledge NAIRR
    When you publish your research based on the use of NAIRR pilot-provided resources, please include following language in your acknowledgments (including resource specific snippet provided in the table below, as appropriate).

    This research is supported by the National Artificial Intelligence Research Resource (NAIRR) Pilot and [AWARDED-RESOURCE-ACK]

    Resource AWARDED-RESOURCE-ACK
    ACES the ACES system supported by the National Science Foundation (award NSF-OAC 2112356) at the Texas A&M High Performance Research Computing (HPRC).
    ANL AI Testbed the Argonne National Lab AI Testbed at the Argonne Leadership Computing Facility, a U.S. Department of Energy (DOE) Office of Science user facility at Argonne National Laboratory and is based on research supported by the U.S. DOE Office of Science-Advanced Scientific Computing Research Program, under Contract No. DE-AC02-06CH11357.
    Anvil the Anvil supercomputer supported by the National Science Foundation (award NSF-OAC 2005632) at Purdue University.
    Bridges-2 The Bridges-2 system, which is supported by NSF award number OAC-1928147 at the Pittsburgh Supercomputing Center (PSC).
    Delta the Delta advanced computing and data resource which is supported by the National Science Foundation (award NSF-OAC 2005572).
    Frontera/Lonestar the Frontera supercomputer supported by the National Science Foundation (award NSF-OAC 1818253) at the Texas Advanced Computing Center (TACC) at The University of Texas at Austin.
    Jetstream2 the Jetstream2 cloud resource supported by the National Science Foundation (award NSF-OAC 2005506) at Indiana University. https://jetstream-cloud.org/research/index.html#cite-jetstream
    Neocortex the Neocortex system supported by the National Science Foundation (award NSF-OAC 2005597) at the Pittsburgh Supercomputing Center, a joint computational research center with Carnegie Mellon University and the University of Pittsburgh.
    Summit the Summit supercomputer at Oak Ridge Leadership Computing Facility, a U.S. Department of Energy (DOE) Office of Science user facility at Oak Ridge National Laboratory, which is supported by the DOE Office of Science under Contract No. DE-AC05-00OR22725.

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