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Vol-2902
urn:nbn:de:0074-2902-5
Copyright © 2021 for
the individual papers by the papers' authors.
Copyright © 2021 for the volume
as a collection by its editors.
This volume and its papers are published under the
Creative Commons License Attribution 4.0 International
(CC BY 4.0).
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MAIED 2021
Multimodal Artificial Intelligence in Education 2021
Proceedings of the First International Workshop on Multimodal Artificial Intelligence in Education (MAIED 2021)
At the 22nd International Conference on Artificial Intelligence in Education
(AIED 2021)
Online, June 14th, 2021.
Edited by
*
DIPF,
Leibniz Institute for Research and Information in Education, 60323 Frankfurt, Germany
**
Monash University,
Clayton VIC 3800, Melbourne, Australia
***
Spanish National University for Distance Education,
28015 Madrid, Spain
****
TH Köln,
Cologne Game Lab, 51063 Köln, Germany
*****
University College London,
London WC1E 6BT, United Kingdom
******
University of Copenhagen,
1165 København, Denmark
*******
Radboud University,
6525 XZ Nijmegen, Netherlands
********
Norwegian University of Science and Technology,
7491 Trondheim, Norway
*********
Open University of the Netherlands,
6419 AT Heerlen, Netherlands
**********
University of Central Florida,
Department of Learning Sciences & Educational Research, FL 32816, United States
Table of Contents
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Preface
Summary: There were 13 papers submitted for peer-review to this workshop. Out of these,
10 papers were accepted for this volume,
9 as regular papers and
1 as a short paper.
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Measuring the Effect of ITS Feedback Messages on Students’ Emotions
8-17
Han Jiang,
Zewelanji Serpell,
Jacob Whitehill
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Design Dimensions for Holographic Intelligent Agents: A Comparative Analysis
18-27
Xinyu Huang,
Fridolin Wild,
Denise Whitelock
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Different Modality, Different Design, Different Results: Exploring Self-regulated Learner Clusters’ Engagement Behaviours at Individual, Group and Cohort Activities
28-40
Qi Zhou,
Wannapon Suraworachet,
Mutlu Cukurova
-
Creative Peer System: An Experimental Design for Fostering Creativity with Artificial Intelligence in Multimodal and Sociocultural Learning Environments
41-48
Jeongki Lim,
Teemu Leinonen
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Towards Exploring Stress Reactions in Teamwork using Multimodal Physiological Data
49-60
Miguel A. Ronda-Carracao,
Olga C. Santos,
Gloria Fernandez-Nieto,
Roberto Martinez-Maldonado
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Dyadic Joint Visual Attention Interaction in Face-to-face Collaborative Problem-solving at K-12 Maths Education: A Multimodal Approach
61-70
Chiao-Wei Yang,
Mutlu Cukurova,
Kaska Porayska-Pomsta
-
KUMITRON: A Multimodal Psychomotor Intelligent Learning System to Provide Personalized Support when Training Karate Combats
71-82
Jon Echeverria,
Olga C. Santos
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Preliminary Steps Towards Detection of Proactive and Reactive Control States During Learning with fNIRS Brain Signals
83-92
Alicia Howell-Munson,
Deniz Sonmez Unal,
Erin Walker,
Catherine Arrington,
Erin Solovey
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Multimodal Multi-Task Stealth Assessment for Reflection-Enriched Game-Based Learning
93-102
Anisha Gupta,
Dan Carpenter,
Wookhee Min,
Jonathan Rowe,
Roger Azevedo,
James Lester
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Multimodal AI Agent to Support Students’ Motion-Based Educational Game Play
103-112
Serena Lee-Cultura,
Kshitij Sharma,
Michail Giannakos
2021-06-29: submitted by Khaleel Asyraaf Mat Sanusi,
metadata incl. bibliographic data published under Creative Commons CC0
2021-07-08: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)
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