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© 2020

Artificial Intelligence in Education

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

  • Ig Ibert Bittencourt
  • Mutlu Cukurova
  • Kasia Muldner
  • Rose Luckin
  • Eva Millán
Conference proceedings AIED 2020

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

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 12164)

Table of contents

  1. Front Matter
    Pages i-xxvii
    PDF

  2. Short Papers

    1. Front Matter
      Pages 1-1
      PDF
    2. Modelling Learners in Crowdsourcing Educational Systems
      Solmaz Abdi, Hassan Khosravi, Shazia Sadiq
      Pages 3-9
      PDF
    3. Interactive Pedagogical Agents for Learning Sequence Diagrams
      Sohail Alhazmi, Charles Thevathayan, Margaret Hamilton
      Pages 10-14
      PDF
    4. A Socratic Tutor for Source Code Comprehension
      Zeyad Alshaikh, Lasagn Tamang, Vasile Rus
      Pages 15-19
      PDF
    5. Scientific Modeling Using Large Scale Knowledge
      Sungeun An, Robert Bates, Jen Hammock, Spencer Rugaber, Emily Weigel, Ashok Goel
      Pages 20-24
      PDF
    6. Examining Students’ Intrinsic Cognitive Load During Program Comprehension – An Eye Tracking Approach
      Magdalena Andrzejewska, Agnieszka Skawińska
      Pages 25-30
      PDF
    7. Sequence-to-Sequence Models for Automated Text Simplification
      Robert-Mihai Botarleanu, Mihai Dascalu, Scott Andrew Crossley, Danielle S. McNamara
      Pages 31-36
      PDF
    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
      PDF
    9. Investigating Transformers for Automatic Short Answer Grading
      Leon Camus, Anna Filighera
      Pages 43-48
      PDF
    10. Predicting Learners Need for Recommendation Using Dynamic Graph-Based Knowledge Tracing
      Abdessamad Chanaa, Nour-Eddine El Faddouli
      Pages 49-53
      PDF
    11. BERT and Prerequisite Based Ontology for Predicting Learner’s Confusion in MOOCs Discussion Forums
      Abdessamad Chanaa, Nour-Eddine El Faddouli
      Pages 54-58
      PDF
    12. Identification of Students’ Need Deficiency Through a Dialogue System
      Penghe Chen, Yu Lu, Yan Peng, Jiefei Liu, Qi Xu
      Pages 59-63
      PDF
    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
      PDF
    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
      PDF
    15. Exploring Automatic Short Answer Grading as a Tool to Assist in Human Rating
      Aubrey Condor
      Pages 74-79
      PDF
    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
      PDF
    17. Mastery Learning Heuristics and Their Hidden Models
      Shayan Doroudi
      Pages 86-91
      PDF
    18. Towards Practical Detection of Unproductive Struggle
      Stephen E. Fancsali, Kenneth Holstein, Michael Sandbothe, Steven Ritter, Bruce M. McLaren, Vincent Aleven
      Pages 92-97
      PDF
    19. What Happens When Gamification Ends?
      Miguel García Iruela, Manuel J. Fonseca, Raquel Hijón-Neira, Teresa Chambel
      Pages 98-102
      PDF
    20. Using Eye-Tracking and Click-Stream Data to Design Adaptive Training of Children’s Inhibitory Control in a Maths and Science Game
      Andrea Gauthier, Kaśka Porayska-Pomsta, Denis Mareschal, The UnLocke Project Team
      Pages 103-108
      PDF
    21. Prediction of Group Learning Results from an Aggregation of Individual Understanding with Kit-Build Concept Map
      Yusuke Hayashi, Toshihiro Nomura, Tsukasa Hirashima
      Pages 109-113
      PDF
    22. Automatic Classification for Cognitive Engagement in Online Discussion Forums: Text Mining and Machine Learning Approach
      Hind Hayati, Mohammed Khalidi Idrissi, Samir Bennani
      Pages 114-118
      PDF
    23. Explaining Errors in Predictions of At-Risk Students in Distance Learning Education
      Martin Hlosta, Tina Papathoma, Christothea Herodotou
      Pages 119-123
      PDF
    24. A General Multi-method Approach to Design-Loop Adaptivity in Intelligent Tutoring Systems
      Yun Huang, Vincent Aleven, Elizabeth McLaughlin, Kenneth Koedinger
      Pages 124-129
      PDF
    25. Towards Improving Sample Representativeness of Teachers on Online Social Media: A Case Study on Pinterest
      Hamid Karimi, Tyler Derr, Kaitlin T. Torphy, Kenneth A. Frank, Jiliang Tang
      Pages 130-134
      PDF
    26. A Framework for Exploring the Impact of Tutor Practices on Learner Self-regulation in Online Environments
      Madiha Khan-Galaria, Mutlu Cukurova, Rose Luckin
      Pages 135-139
      PDF
    27. Automated Personalized Feedback Improves Learning Gains in An Intelligent Tutoring System
      Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Varun Gupta, Iulian Vlad Serban, Joelle Pineau
      Pages 140-146
      PDF
    28. Allowing Revisions While Providing Error-Flagging Support: Is More Better?
      Amruth N. Kumar
      Pages 147-151
      PDF
    29. Learner-Context Modelling: A Bayesian Approach
      Charles Lang
      Pages 152-156
      PDF
    30. Distinguishing Anxiety Subtypes of English Language Learners Towards Augmented Emotional Clarity
      Heera Lee, Varun Mandalapu, Andrea Kleinsmith, Jiaqi Gong
      Pages 157-161
      PDF
    31. Siamese Neural Networks for Class Activity Detection
      Hang Li, Zhiwei Wang, Jiliang Tang, Wenbiao Ding, Zitao Liu
      Pages 162-167
      PDF
    32. Deep-Cross-Attention Recommendation Model for Knowledge Sharing Micro Learning Service
      Jiayin Lin, Geng Sun, Jun Shen, David Pritchard, Tingru Cui, Dongming Xu et al.
      Pages 168-173
      PDF
    33. Investigating the Role of Politeness in Human-Human Online Tutoring
      Jionghao Lin, David Lang, Haoran Xie, Dragan Gašević, Guanliang Chen
      Pages 174-179
      PDF
    34. Raising Academic Performance in Socio-cognitive Conflict Learning Through Gamification
      Zhou Long, Dehong Luo, Kai Kiu, Hongli Gao, Jing Qu, Xiangen Hu
      Pages 180-184
      PDF
    35. Towards Interpretable Deep Learning Models for Knowledge Tracing
      Yu Lu, Deliang Wang, Qinggang Meng, Penghe Chen
      Pages 185-190
      PDF
    36. Early Prediction of Success in MOOC from Video Interaction Features
      Boniface Mbouzao, Michel C. Desmarais, Ian Shrier
      Pages 191-196
      PDF
    37. Predicting Reading Comprehension from Constructed Responses: Explanatory Retrievals as Stealth Assessment
      Kathryn S. McCarthy, Laura K. Allen, Scott R. Hinze
      Pages 197-202
      PDF
    38. An Approach to Model Children’s Inhibition During Early Literacy and Numeracy Acquisition
      Guilherme Medeiros Machado, Geoffray Bonnin, Sylvain Castagnos, Lara Hoareau, Aude Thomas, Youssef Tazouti
      Pages 203-207
      PDF
    39. Confrustion and Gaming While Learning with Erroneous Examples in a Decimals Game
      Michael Mogessie, J. Elizabeth Richey, Bruce M. McLaren, Juan Miguel L. Andres-Bray, Ryan S. Baker
      Pages 208-213
      PDF
    40. Learning Outcomes and Their Relatedness Under Curriculum Drift
      Sneha Mondal, Tejas I. Dhamecha, Smriti Pathak, Red Mendoza, Gayathri K. Wijayarathna, Paul Gagnon et al.
      Pages 214-219
      PDF
    41. Promoting Learning and Satisfaction of Children When Interacting with an Emotional Companion to Program
      Elizabeth K. Morales-Urrutia, José Miguel Ocaña Ch., Diana Pérez-Marín, Celeste Pizarro-Romero
      Pages 220-223
      PDF
    42. Automatic Grading System Using Sentence-BERT Network
      Ifeanyi G. Ndukwe, Chukwudi E. Amadi, Larian M. Nkomo, Ben K. Daniel
      Pages 224-227
      PDF
    43. Extended Multi-document Cohesion Network Analysis Centered on Comprehension Prediction
      Bogdan Nicula, Cecile A. Perret, Mihai Dascalu, Danielle S. McNamara
      Pages 228-233
      PDF
    44. Supporting Empathy Training Through Virtual Patients
      Jennifer K. Olsen, Catharine Oertel
      Pages 234-239
      PDF
    45. Generating Game Levels to Develop Computer Science Competencies in Game-Based Learning Environments
      Kyungjin Park, Bradford Mott, Wookhee Min, Eric Wiebe, Kristy Elizabeth Boyer, James Lester
      Pages 240-245
      PDF
    46. An Evaluation of Data-Driven Programming Hints in a Classroom Setting
      Thomas W. Price, Samiha Marwan, Michael Winters, Joseph Jay Williams
      Pages 246-251
      PDF
    47. Deep Knowledge Tracing with Transformers
      Shi Pu, Michael Yudelson, Lu Ou, Yuchi Huang
      Pages 252-256
      PDF
    48. Relationships Between Body Postures and Collaborative Learning States in an Augmented Reality Study
      Iulian Radu, Ethan Tu, Bertrand Schneider
      Pages 257-262
      PDF
    49. Effect of Immediate Feedback on Math Achievement at the High School Level
      Renah Razzaq, Korinn S. Ostrow, Neil T. Heffernan
      Pages 263-267
      PDF

Other volumes

  1. Artificial Intelligence in Education
    21st International Conference, AIED 2020, Ifrane, Morocco, July 6–10, 2020, Proceedings, Part I
  2. Artificial Intelligence in Education
    21st International Conference, AIED 2020, Ifrane, Morocco, July 6–10, 2020, Proceedings, Part II

About these proceedings

Introduction

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.


Keywords

artificial intelligence collaborative learning computational linguistics computer aided instruction computer systems data mining e-learning education Human-Computer Interaction (HCI) information systems intelligent tutoring system learning learning environments machine learning Natural Language Processing (NLP) neural networks semantics signal processing user interfaces

Editors and affiliations

  1. 1.Federal University of AlagoasMaceióBrazil
  2. 2.University College LondonLondonUK
  3. 3.Carleton UniversityOttawaCanada
  4. 4.University College LondonLondonUK
  5. 5.University of MalagaMálagaSpain

Bibliographic information