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Artificial Intelligence in Education

22nd International Conference, AIED 2021, Utrecht, The Netherlands, June 14–18, 2021, Proceedings, Part II

  • 2021
  • Book

About this book

This two-volume set LNAI 12748 and 12749 constitutes the refereed proceedings of the 22nd International Conference on Artificial Intelligence in Education, AIED 2021, held in Utrecht, The Netherlands, in June 2021.*

The 40 full papers presented together with 76 short papers, 2 panels papers, 4 industry papers, 4 doctoral consortium, and 6 workshop papers were carefully reviewed and selected from 209 submissions. The conference provides opportunities for the cross-fertilization of approaches, techniques and ideas from the many fields that comprise AIED, including computer science, cognitive and learning sciences, education, game design, psychology, sociology, linguistics as well as many domain-specific areas.

​*The conference was held virtually due to the COVID-19 pandemic.

Table of Contents

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  1. Frontmatter

  2. Keynotes

    1. Frontmatter

    2. Scrutability, Control and Learner Models: Foundations for Learner-Centred Design in AIED

      Judy Kay
      Abstract
      There is a huge, and growing, amount of personal data that has the potential to help people learn. There is also a growing and broad concern about the ways that personal data is harvested and used. This makes it timely to draw on the decades of AIED research towards creating systems and interfaces that enable learners to truly harness and control their learning data. This invited keynote will present a whirlwind tour of my learner modelling research and a selection of other work that has influenced my own towards the goal of putting people in control of their own learning data and its use. I will explain the rationale for my focus on scrutability, as a foundation for users to harness and control their learning data, especially for learning contexts.
      I will share key lessons from my work for creating AIED systems that are deeply learner centred. Building on this, I will present a vision for AIED, one that takes a learner-centred perspective to designing AIED systems and recognises the inherent limitations of learning data. This is a broad view of AIED that returns its founding goals to create advanced learning technologies.
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Title
Artificial Intelligence in Education
Editors
Ido Roll
Danielle McNamara
Sergey Sosnovsky
Rose Luckin
Vania Dimitrova
Copyright Year
2021
Electronic ISBN
978-3-030-78270-2
Print ISBN
978-3-030-78269-6
DOI
https://doi.org/10.1007/978-3-030-78270-2

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