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

25th International Conference, AIED 2024, Recife, Brazil, July 8–12, 2024, Proceedings, Part I

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Andrew M. Olney

    1. University of Memphis, Memphis, USA

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  2. Irene-Angelica Chounta

    1. University of Duisburg-Essen, Duisburg, Germany

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  3. Zitao Liu

    1. Jinan University, Guangzhou, China

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  4. Olga C. Santos

    1. UNED, Madrid, Spain

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  5. Ig Ibert Bittencourt

    1. Universidade Federal de Alagoas, Maceio, Brazil

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 2150)

Included in the following conference series:

Conference proceedings info: AIED 2024.

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About this book

This volume constitutes poster papers and late breaking results presented during the 25th International Conference on Artificial Intelligence in Education, AIED 2024, which took place in Recife, Brazil, during July 8–12, 2024.

The 18 full papers and 92 short papers were carefully reviewed and selected from 200 submissions. They are organized in topical sections as follows: 

Part One: Blue Sky, Industry, Innovation and Practitioner, WideAIED and Late-Breaking Results.

Part Two: Late-Breaking Results, Doctoral Consortium, Workshops and Tutorials.

Keywords

Table of contents (49 papers)

  1. Front Matter

    Pages i-xlvii
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  2. Blue Sky

    1. Front Matter

      Pages 1-1
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    2. Aligning AIED Systems to Embodied Cognition and Learning Theories

      • Ivon Arroyo, Injila Rasul, Danielle Crabtree, Francisco Castro, Allison Poh, Sai Gattupalli et al.
      Pages 3-17

    3. Ethical AIED and AIED Ethics: Toward Synergy Between AIED Research and Ethical Frameworks

      • Conrad Borchers, Xinman Liu, Hakeoung Hannah Lee, Jiayi Zhang
      Pages 18-31

    4. Enhancing LLM-Based Feedback: Insights from Intelligent Tutoring Systems and the Learning Sciences

      • John Stamper, Ruiwei Xiao, Xinying Hou
      Pages 32-43

    5. Flowing Through Virtual Realms: Leveraging Artificial Intelligence for Immersive Educational Environments

      • Grzegorz Zwoliński, Dorota Kamińska
      Pages 44-57

  3. Industry, Innovation and Practitioner

    1. Front Matter

      Pages 59-59
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    2. The Impact of Example Selection in Few-Shot Prompting on Automated Essay Scoring Using GPT Models

      • Lui Yoshida
      Pages 61-73

    3. Bringing AIED, Public Policy and GDPR to Promote Educational Opportunities in Brazil

      • Carlos Portela, Jorge Rocha, Paula Palomino, Rodrigo Lisbôa, Thiago Cordeiro, Alan Silva et al.
      Pages 74-86

    4. Towards Explainable Authorship Verification: An Approach to Minimise Academic Misconduct in Higher Education

      • Eduardo A. Oliveira, Madhavi Mohoni, Shannon Rios
      Pages 87-100

    5. AI in K-12 Social Studies Education: A Critical Examination of Ethical and Practical Challenges

      • Ilene R. Berson, Michael J. Berson
      Pages 101-112

    6. Enhancing Programming Education with ChatGPT: A Case Study on Student Perceptions and Interactions in a Python Course

      • Boxuan Ma, Li Chen, Shin’ichi Konomi
      Pages 113-126

    7. LANSE: A Cloud-Powered Learning Analytics Platform for the Automated Identification of Students at Risk in Learning Management Systems

      • Cristian Cechinel, Emanuel Marques Queiroga, Tiago Thompsen Primo, Henrique Lemos dos Santos, Vinícius Faria Culmant Ramos, Roberto Munoz et al.
      Pages 127-138

    8. Parsing Post-deployment Students’ Feedback: Towards a Student-Centered Intelligent Monitoring System to Support Self-regulated Learning

      • Prachee Alpeshkumar Javiya, Andrea Kleinsmith, Lujie Karen Chen, John Fritz
      Pages 139-150

    9. How Do Strategies for Using ChatGPT Affect Knowledge Comprehension?

      • Li Chen, Gen Li, Boxuan Ma, Cheng Tang, Fumiya Okubo, Atsushi Shimada
      Pages 151-162

    10. Automatic Lesson Plan Generation via Large Language Models with Self-critique Prompting

      • Ying Zheng, Xueyi Li, Yaying Huang, Qianru Liang, Teng Guo, Mingliang Hou et al.
      Pages 163-178

    11. Systematic Needs Analysis of Advanced Digital Skills for Postgraduate Computing Education: The DIGITAL4Business Case

      • Carmel Somers, Dave Feenan, David Fitzgerald, Roberto Henriques, Matteo Martignoni, Daniela Angela Parletta et al.
      Pages 179-191

  4. WideAIED

    1. Front Matter

      Pages 193-193
      Download chapter PDF

    2. Predictive Model of School Dropout Based on Undergraduate Course Self-assessment Data

      • Ronei Oliveira, Francisco Medeiros
      Pages 195-207

    3. Expectations of Higher Education Teachers Regarding the Use of AI in Education

      • Ronald Perez-Alvarez, Cindy Rebeca Chavarría Villalobos, Melber Dalorso Cruz, Jorge Miranda Loría
      Pages 208-213
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Other volumes

  1. Artificial Intelligence in Education

  2. Artificial Intelligence in Education

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

  4. 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 Memphis, Memphis, USA

    Andrew M. Olney

  • University of Duisburg-Essen, Duisburg, Germany

    Irene-Angelica Chounta

  • Jinan University, Guangzhou, China

    Zitao Liu

  • UNED, Madrid, Spain

    Olga C. Santos

  • Universidade Federal de Alagoas, Maceio, Brazil

    Ig Ibert Bittencourt

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