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Artificial Intelligence in Education

21st International Conference, AIED 2020, Ifrane, Morocco, July 6–10, 2020, Proceedings, Part II

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Ig Ibert Bittencourt

    1. Federal University of Alagoas, Maceió, Brazil

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  2. Mutlu Cukurova

    1. University College London, London, UK

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  3. Kasia Muldner

    1. Carleton University, Ottawa, Canada

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  4. Rose Luckin

    1. University College London, London, UK

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  5. Eva Millán

    1. University of Malaga, Málaga, Spain

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12164)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: AIED 2020.

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Table of contents (74 papers)

  1. Front Matter

    Pages i-xxvii
    Download chapter PDF

  2. Short Papers

    1. Front Matter

      Pages 1-1
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    2. Modelling Learners in Crowdsourcing Educational Systems

      • Solmaz Abdi, Hassan Khosravi, Shazia Sadiq
      Pages 3-9

    3. Interactive Pedagogical Agents for Learning Sequence Diagrams

      • Sohail Alhazmi, Charles Thevathayan, Margaret Hamilton
      Pages 10-14

    4. A Socratic Tutor for Source Code Comprehension

      • Zeyad Alshaikh, Lasagn Tamang, Vasile Rus
      Pages 15-19

    5. Scientific Modeling Using Large Scale Knowledge

      • Sungeun An, Robert Bates, Jen Hammock, Spencer Rugaber, Emily Weigel, Ashok Goel
      Pages 20-24

    6. Examining Students’ Intrinsic Cognitive Load During Program Comprehension – An Eye Tracking Approach

      • Magdalena Andrzejewska, Agnieszka Skawińska
      Pages 25-30

    7. Sequence-to-Sequence Models for Automated Text Simplification

      • Robert-Mihai Botarleanu, Mihai Dascalu, Scott Andrew Crossley, Danielle S. McNamara
      Pages 31-36

    8. The Potential for the Use of Deep Neural Networks in e-Learning Student Evaluation with New Data Augmentation Method

      • Andrzej Cader
      Pages 37-42

    9. Investigating Transformers for Automatic Short Answer Grading

      • Leon Camus, Anna Filighera
      Pages 43-48

    10. Predicting Learners Need for Recommendation Using Dynamic Graph-Based Knowledge Tracing

      • Abdessamad Chanaa, Nour-Eddine El Faddouli
      Pages 49-53

    11. BERT and Prerequisite Based Ontology for Predicting Learner’s Confusion in MOOCs Discussion Forums

      • Abdessamad Chanaa, Nour-Eddine El Faddouli
      Pages 54-58

    12. Identification of Students’ Need Deficiency Through a Dialogue System

      • Penghe Chen, Yu Lu, Yan Peng, Jiefei Liu, Qi Xu
      Pages 59-63

    13. The Double-Edged Sword of Automating Personalized Interventions in Makerspaces: An Exploratory Study of Potential Benefits and Drawbacks

      • Edwin Chng, Sofya Zeylikman, Bertrand Schneider
      Pages 64-68

    14. EdNet: A Large-Scale Hierarchical Dataset in Education

      • Youngduck Choi, Youngnam Lee, Dongmin Shin, Junghyun Cho, Seoyon Park, Seewoo Lee et al.
      Pages 69-73

    15. Exploring Automatic Short Answer Grading as a Tool to Assist in Human Rating

      • Aubrey Condor
      Pages 74-79

    16. Multi-document Cohesion Network Analysis: Visualizing Intratextual and Intertextual Links

      • Maria-Dorinela Dascalu, Stefan Ruseti, Mihai Dascalu, Danielle S. McNamara, Stefan Trausan-Matu
      Pages 80-85

    17. Mastery Learning Heuristics and Their Hidden Models

      • Shayan Doroudi
      Pages 86-91

    18. Towards Practical Detection of Unproductive Struggle

      • Stephen E. Fancsali, Kenneth Holstein, Michael Sandbothe, Steven Ritter, Bruce M. McLaren, Vincent Aleven
      Pages 92-97

    19. What Happens When Gamification Ends?

      • Miguel García Iruela, Manuel J. Fonseca, Raquel Hijón-Neira, Teresa Chambel
      Pages 98-102
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Other volumes

  1. Artificial Intelligence in Education

  2. Artificial Intelligence in Education

Keywords

About this book

This two-volume set LNAI 12163 and 12164 constitutes the refereed proceedings of the 21th International Conference on Artificial Intelligence in Education, AIED 2020, held in Ifrane, Morocco, in July 2020.*

The 49 full papers presented together with 66 short, 4 industry & innovation, 4 doctoral consortium, and 4 workshop papers were carefully reviewed and selected from 214 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.


Editors and Affiliations

  • Federal University of Alagoas, Maceió, Brazil

    Ig Ibert Bittencourt

  • University College London, London, UK

    Mutlu Cukurova, Rose Luckin

  • Carleton University, Ottawa, Canada

    Kasia Muldner

  • University of Malaga, Málaga, Spain

    Eva Millán

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