Artificial Intelligence in Education: 23rd International Conference, AIED 2022, Durham, UK, July 27–31, 2022, Proceedings, Part I | SpringerLink
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Artificial Intelligence in Education

23rd International Conference, AIED 2022, Durham, UK, July 27–31, 2022, Proceedings, Part I

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Maria Mercedes Rodrigo

    1. Ateneo De Manila University, Quezon, Philippines

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  2. Noburu Matsuda

    1. Department of Computer Science, North Carolina State University, Raleigh, USA

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  3. Alexandra I. Cristea

    1. Durham University, Durham, UK

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  4. Vania Dimitrova

    1. University of Leeds, Leeds, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13355)

Included in the following conference series:

Conference proceedings info: AIED 2022.

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About this book

This two-volume set LNAI 13355 and 13356 constitutes the refereed proceedings of the 23rd International Conference on Artificial Intelligence in Education, AIED 2022, held in Durham, UK, in July 2022.

The 40 full papers and  40 short papers presented together with 2 keynotes, 6 industry papers, 12 DC papers, 6 Workshop papers, 10 Practitioner papers, 97 Posters and Late-Breaking Results were carefully reviewed and selected from 243 submissions. The conference presents topics such as intelligent systems and the cognitive sciences for the improvement and advancement of education, the science and engineering of intelligent interactive learning systems. The theme for the AIED 2022 conference was „AI in Education: Bridging the gap between academia, business, and non-pro t in preparing future-proof generations towards ubiquitous AI."

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Table of contents (80 papers)

  1. Front Matter

    Pages i-xlii
    Download chapter PDF

  2. Full Papers

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. How to Give Imperfect Automated Guidance to Learners: A Case-Study in Workplace Learning

      • Jacob Whitehill, Amitai Erfanian
      Pages 3-14

    3. A Causal Inference Study on the Effects of First Year Workload on the Dropout Rate of Undergraduates

      • Marzieh Karimi-Haghighi, Carlos Castillo, Davinia Hernández-Leo
      Pages 15-27

    4. Adaptive Scaffolding in Block-Based Programming via Synthesizing New Tasks as Pop Quizzes

      • Ahana Ghosh, Sebastian Tschiatschek, Sam Devlin, Adish Singla
      Pages 28-40

    5. Learning Profiles to Assess Educational Prediction Systems

      • Amal Ben Soussia, Célina Treuillier, Azim Roussanaly, Anne Boyer
      Pages 41-52

    6. Identifying Student Struggle by Analyzing Facial Movement During Asynchronous Video Lecture Viewing: Towards an Automated Tool to Support Instructors

      • Adam Linson, Yucheng Xu, Andrea R. English, Robert B. Fisher
      Pages 53-65

    7. Preparing Future Learning with Novel Visuals by Supporting Representational Competencies

      • Jihyun Rho, Martina A. Rau, Barry D. Van Veen
      Pages 66-77

    8. Leveraging Student Goal Setting for Real-Time Plan Recognition in Game-Based Learning

      • Alex Goslen, Dan Carpenter, Jonathan P. Rowe, Nathan Henderson, Roger Azevedo, James Lester
      Pages 78-89

    9. Identifying and Comparing Multi-dimensional Student Profiles Across Flipped Classrooms

      • Paola Mejia-Domenzain, Mirko Marras, Christian Giang, Tanja Käser
      Pages 90-102

    10. Embodied Learning with Physical and Virtual Manipulatives in an Intelligent Tutor for Chemistry

      • Joel P. Beier, Martina A. Rau
      Pages 103-114

    11. How do A/B Testing and Secondary Data Analysis on AIED Systems Influence Future Research?

      • Nidhi Nasiar, Ryan S. Baker, Jillian Li, Weiyi Gong
      Pages 115-126

    12. Investigating the Effectiveness of Visual Learning Analytics in Active Video Watching

      • Negar Mohammadhassan, Antonija Mitrovic
      Pages 127-139

    13. Debiasing Politically Motivated Reasoning with Value-Adaptive Instruction

      • Nicholas Diana, John Stamper, Ken Koedinger, Jessica Hammer
      Pages 140-152

    14. Towards Human-Like Educational Question Generation with Large Language Models

      • Zichao Wang, Jakob Valdez, Debshila Basu Mallick, Richard G. Baraniuk
      Pages 153-166

    15. Towards the Automated Evaluation of Legal Casenote Essays

      • Mladen Raković, Lele Sha, Gerry Nagtzaam, Nick Young, Patrick Stratmann, Dragan Gašević et al.
      Pages 167-179

    16. Fully Automated Short Answer Scoring of the Trial Tests for Common Entrance Examinations for Japanese University

      • Haruki Oka, Hung Tuan Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa, Tsunenori Ishioka
      Pages 180-192

    17. Machine Learning Techniques to Evaluate Lesson Objectives

      • Pei Hua Cher, Jason Wen Yau Lee, Fernando Bello
      Pages 193-205

    18. Towards Generating Counterfactual Examples as Automatic Short Answer Feedback

      • Anna Filighera, Joel Tschesche, Tim Steuer, Thomas Tregel, Lisa Wernet
      Pages 206-217

    19. Combining Artificial Intelligence and Edge Computing to Reshape Distance Education (Case Study: K-12 Learners)

      • Chahrazed Labba, Rabie Ben Atitallah, Anne Boyer
      Pages 218-230
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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’ and Doctoral Consortium

Editors and Affiliations

  • Ateneo De Manila University, Quezon, Philippines

    Maria Mercedes Rodrigo

  • Department of Computer Science, North Carolina State University, Raleigh, USA

    Noburu Matsuda

  • Durham University, Durham, UK

    Alexandra I. Cristea

  • University of Leeds, Leeds, UK

    Vania Dimitrova

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