Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky: 24th International Conference, AIED 2023, Tokyo, Japan, July 3–7, 2023, Proceedings | SpringerLink
Skip to main content
Springer Nature Link
Log in

Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky

24th International Conference, AIED 2023, Tokyo, Japan, July 3–7, 2023, Proceedings

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Ning Wang

    1. University of Southern California, Los Angeles, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Genaro Rebolledo-Mendez

    1. University of British Columbia, Vancouver, Canada

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Vania Dimitrova

    1. University of Leeds, Leeds, UK

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Noboru Matsuda

    1. North Carolina State University, Raleigh, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  5. Olga C. Santos

    1. UNED, Madrid, Spain

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Communications in Computer and Information Science (CCIS, volume 1831)

Included in the following conference series:

Conference proceedings info: AIED 2023.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

eBook JPY 14871
Price includes VAT (Japan)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book JPY 18589
Price includes VAT (Japan)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

This volume constitutes poster papers and late breaking results presented during the 24th International Conference on Artificial Intelligence in Education, AIED 2023, Tokyo, Japan, July 3–7, 2023.

The 65 poster papers presented were carefully reviewed and selected from 311 submissions. This set of posters was complemented with the other poster contributions submitted for the Poster and Late Breaking results track of the AIED 2023 conference. 

Keywords

Table of contents (123 papers)

  1. Front Matter

    Pages i-xxviii
    Download chapter PDF

  2. Four Interactions Between AI and Education: Broadening Our Perspective on What AI Can Offer Education

    • Sina Rismanchian, Shayan Doroudi
    Pages 1-12

  3. Computational Models of Learning: Deepening Care and Carefulness in AI in Education

    • Daniel Weitekamp, Kenneth Koedinger
    Pages 13-25

  4. Towards the Future of AI-Augmented Human Tutoring in Math Learning

    • Vincent Aleven, Richard Baraniuk, Emma Brunskill, Scott Crossley, Dora Demszky, Stephen Fancsali et al.
    Pages 26-31

  5. Empowering Education with LLMs - The Next-Gen Interface and Content Generation

    • Steven Moore, Richard Tong, Anjali Singh, Zitao Liu, Xiangen Hu, Yu Lu et al.
    Pages 32-37

  6. Conducting Rapid Experimentation with an Open-Source Adaptive Tutoring System

    • Zachary A. Pardos, Ioannis Anastasopoulos, Shreya K. Sheel
    Pages 38-43

  7. AI Education for K-12: A Survey

    • Ning Wang, James Lester
    Pages 44-49

  8. Tutorial: Educational Recommender Systems

    • Yong Zheng
    Pages 50-56

  9. Equity, Diversity, and Inclusion in Educational Technology Research and Development

    • Adele Smolansky, Huy A. Nguyen, Rene F. Kizilcec, Bruce M. McLaren
    Pages 57-62

  10. Artificial Intelligence and Educational Policy: Bridging Research and Practice

    • Seiji Isotani, Ig Ibert Bittencourt, Erin Walker
    Pages 63-68

  11. Automated Assessment and Guidance of Project Work

    • Victoria Abou-Khalil, Andrew Vargo, Rwitajit Manjoumdar, Michele Magno, Manu Kapur
    Pages 69-73

  12. How to Open Science: Promoting Principles and Reproducibility Practices Within the Artificial Intelligence in Education Community

    • Aaron Haim, Stacy T. Shaw, Neil T. Heffernan
    Pages 74-78

  13. AI and Education. A View Through the Lens of Human Rights, Democracy and the Rule of Law. Legal and Organizational Requirements

    • Wayne Holmes, Christian M. Stracke, Irene-Angelica Chounta, Dale Allen, Duuk Baten, Vania Dimitrova et al.
    Pages 79-84

  14. AI in Education. Coming of Age? The Community Voice

    • Wayne Holmes, Judy Kay
    Pages 85-90

  15. Designing, Building and Evaluating Intelligent Psychomotor AIED Systems (IPAIEDS@AIED2023)

    • Olga C. Santos, Miguel Portaz, Alberto Casas-Ortiz, Jon Echeverria, Luis F. Perez-Villegas
    Pages 91-96

  16. Intelligent Textbooks: The Fifth International Workshop

    • Sergey Sosnovsky, Peter Brusilovsky, Andrew Lan
    Pages 97-102

  17. AI to Support Guided Experiential Learning

    • Benjamin Goldberg, Robby Robson
    Pages 103-108

  18. An Automated Approach to Assist Teachers in Recommending Groups of Students Associated with Collaborative Learning Techniques Using Learning Paths in Virtual Learning Environments

    • Ilmara Monteverde Martins Ramos, David Brito Ramos, Bruno Freitas Gadelha, Elaine Harada Teixeira de Oliveira
    Pages 109-114

  19. Structures in Online Discussion Forums: Promoting Inclusion or Exclusion?

    • Kimberly Williamson, René F. Kizilcec
    Pages 115-120

  20. Assessment in Conversational Intelligent Tutoring Systems: Are Contextual Embeddings Really Better?

    • Colin M. Carmon, Xiangen Hu, Arthur C. Graesser
    Pages 121-129
Back to top

Other volumes

  1. Artificial Intelligence in Education

  2. Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky

Editors and Affiliations

  • University of Southern California, Los Angeles, USA

    Ning Wang

  • University of British Columbia, Vancouver, Canada

    Genaro Rebolledo-Mendez

  • University of Leeds, Leeds, UK

    Vania Dimitrova

  • North Carolina State University, Raleigh, USA

    Noboru Matsuda

  • UNED, Madrid, Spain

    Olga C. Santos

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation