AIEDLLM1: Empowering Education with LLMs - the Next-Gen Interface and Content Generation Artificial Intelligence in Education Tokyo, Japan, July 7, 2023 |
Conference website | https://ai4ed.cc/workshops/aied2023 |
Submission link | https://easychair.org/conferences/?conf=aiedllm1 |
Submission deadline | May 30, 2023 |
The first annual workshop on *Workshop Title Here* is taking place at Artificial Intelligence in Education (AIED) 2023. This workshop aims to bring together researchers and practitioners from academia and industry to explore the potential of generative artificial intelligence to both support and hinder learning. We will explore the use of Large Language Models (LLMs) in human-in-the-loop systems, discussing how different human-AI partnerships involving students, instructors, and others can be effectively leveraged. Through guest speakers, participant presentations, panel discussions, and a mini-hackathon, attendees will have the opportunity to engage with LLMs in the context of education. We will further explore topics related to educational content creation and evaluation, challenges and opportunities for LLMs, and ethical considerations.
Submission Guidelines
Interested participants can submit one of the following:
Position, Work-in-Progress, or Research papers (5 to 10 pages, single column, PDF format preferred, Templates: Latex, Word)
List of Topics
- The application of Large Language Models (LLMs) in educational settings
- Generation and evaluation of educational content with the help of LLMs
- Co-creation of educational partnerships, where the human or AI might benefit the most
- Ethical considerations in the use of LLMs as communication interfaces in educational settings
- Designing effective and standardized user interfaces for LLM-based educational systems
- Crowdsourcing & Learnersourcing in conjunction with LLMs
Committees
Organizing committee
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Steven Moore (chair), Carnegie Mellon University
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Richard Tong (chair), Carnegie Learning
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Zitao Liu, TAL Education Group
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Xiangen Hu, The University of Memphis
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Yu Lu, Beijing Normal University
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Joleen Liang, Macao University
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Hassan Khosravi, The University of Queensland
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Paul Denny, The University of Auckland
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Anjali Singh, University of Michigan
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Chris Brooks, University of Michigan
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John Stamper, Carnegie Mellon University
Publication
The workshop proceedings will be published via CEUR-WS.org.
Venue
The workshop will be held at the Artificila Intelligence in Education (AIED) Conference 2023 in Tokyo, Japan
Contact
All questions about submissions should be emailed to stevenmo@andrew.cmu.edu