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

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

  • 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 13356)

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 (128 papers)

  1. Front Matter

    Pages i-xxxviii
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  2. Doctoral Consortium

    1. Front Matter

      Pages 1-1
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    2. The Black-Box Syndrome: Embracing Randomness in Machine Learning Models

      • Z. Anthis
      Pages 3-9

    3. Developing an Inclusive Q&A Chatbot in Massive Open Online Courses

      • Songhee Han, Min Liu
      Pages 10-15

    4. Graph Entropy-Based Learning Analytics

      • Ali Al-Zawqari, Gerd Vandersteen
      Pages 16-21

    5. Generating Narratives of Video Segments to Support Learning

      • Abrar Mohammed
      Pages 22-28

    6. Toward Improving Effectiveness of Crowdsourced, On-Demand Assistance from Educators in Online Learning Platforms

      • Aaron Haim, Ethan Prihar, Neil T. Heffernan
      Pages 29-34

    7. Grading Programming Assignments with an Automated Grading and Feedback Assistant

      • Marcus Messer
      Pages 35-40

    8. Scaffolding Self-regulated Learning in Game-Based Learning Environments Based on Complex Systems Theory

      • Daryn A. Dever, Roger Azevedo
      Pages 41-46

    9. Speech and Eye Tracking Features for L2 Acquisition: A Multimodal Experiment

      • Sofiya Kobylyanskaya
      Pages 47-52

    10. Using Open Source Technologies and Generalizable Procedures in Conversational and Affective Intelligent Tutoring Systems

      • Romina Soledad Albornoz-De Luise, Miguel Arevalillo-Herráez, David Arnau
      Pages 53-58

    11. A Context-Aware Approach to Personalized Feedback for Novice Programmers

      • Hemilis Joyse Barbosa Rocha, Patrícia Cabral de Azevedo Restelli Tedesco, Evandro de Barros Costa
      Pages 59-64

    12. Towards Speech-Based Collaboration Detection in a Noisy Classroom

      • Bahar Shahrokhian, Kurt VanLehn
      Pages 65-70

    13. Exploring Fairness in Automated Grading and Feedback Generation of Open-Response Math Problems

      • Ashish Gurung, Neil T. Heffernan
      Pages 71-76

  3. Industry and Innovation Track

    1. Front Matter

      Pages 77-77
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    2. An Intelligent Multimodal Dictionary for Chinese Character Learning

      • Jinglei Yu, Jiachen Song, Penghe Chen, Yu Lu
      Pages 79-83

    3. Leveraging Natural Language Processing for Quality Assurance of a Situational Judgement Test

      • Okan Bulut, Alexander MacIntosh, Cole Walsh
      Pages 84-88

    4. AI-Enabled Personalized Interview Coach in Rural India

      • Shriniwas Nayak, Satish Kumar, Dolly Agarwal, Paras Parikh
      Pages 89-93

    5. An Integrated Approach to Learning Solutions: UCD + LS&D + AIEd

      • Kristen S. Herrick, Larisa Nachman, Kinta D. Montilus, K. Rebecca Marsh Runyon, Amy Adair, Lisa Ferrara
      Pages 94-98

    6. Artificial Intelligence (AI), the Future of Work, and the Building of a National Talent Ecosystem

      • Linda Molnar, Ranjana K. Mehta, Robby Robson
      Pages 99-103
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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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