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Artificial Intelligence in Education

19th International Conference, AIED 2018, London, UK, June 27–30, 2018, Proceedings, Part II

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Carolyn Penstein Rosé

    1. Carnegie Mellon University, Pittsburgh, USA

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  2. Roberto Martínez-Maldonado

    1. University of Technology, Sydney, Australia

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  3. H. Ulrich Hoppe

    1. University of Duisburg-Essen , Duisburg, Germany

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  4. Rose Luckin

    1. UCL Institute of Education, London, UK

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  5. Manolis Mavrikis

    1. UCL Institute of Education, London, UK

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  6. Kaska Porayska-Pomsta

    1. UCL Institute of Education, London, UK

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  7. Bruce McLaren

    1. Carnegie Mellon University, Pittsburgh, USA

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  8. Benedict du Boulay

    1. University of Sussex, Brighton, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10948)

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

Included in the following conference series:

Conference proceedings info: AIED 2018.

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About this book

This two volume set LNAI 10947 and LNAI 10948 constitutes the proceedings of the 19th International Conference on Artificial Intelligence in Education, AIED 2018, held in London, UK, in June 2018.
The 45 full papers presented in this book together with 76 poster papers, 11 young researchers tracks, 14 industry papers and 10 workshop papers were carefully reviewed and selected from 192 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.

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Keywords

Table of contents (101 papers)

  1. Front Matter

    Pages I-XLI
    Download chapter PDF

  2. Posters

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Ontology-Based Domain Diversity Profiling of User Comments

      • Entisar Abolkasim, Lydia Lau, Antonija Mitrovic, Vania Dimitrova
      Pages 3-8

    3. ROBIN: Using a Programmable Robot to Provide Feedback and Encouragement on Programming Tasks

      • Ishrat Ahmed, Nichola Lubold, Erin Walker
      Pages 9-13

    4. Conversational Support for Education

      • Damla Ezgi Akcora, Andrea Belli, Marina Berardi, Stella Casola, Nicoletta Di Blas, Stefano Falletta et al.
      Pages 14-19

    5. Providing Proactive Scaffolding During Tutorial Dialogue Using Guidance from Student Model Predictions

      • Patricia Albacete, Pamela Jordan, Dennis Lusetich, Irene Angelica Chounta, Sandra Katz, Bruce M. McLaren
      Pages 20-25

    6. Ella Me Ayudó (She Helped Me): Supporting Hispanic and English Language Learners in a Math ITS

      • Danielle Allessio, Beverly Woolf, Naomi Wixon, Florence R. Sullivan, Minghui Tai, Ivon Arroyo
      Pages 26-30

    7. VERA: Popularizing Science Through AI

      • Sungeun An, Robert Bates, Jennifer Hammock, Spencer Rugaber, Ashok Goel
      Pages 31-35

    8. Modelling Math Learning on an Open Access Intelligent Tutor

      • David Azcona, I-Han Hsiao, Alan F. Smeaton
      Pages 36-40

    9. Learner Behavioral Feature Refinement and Augmentation Using GANs

      • Da Cao, Andrew S. Lan, Weiyu Chen, Christopher G. Brinton, Mung Chiang
      Pages 41-46

    10. Learning Content Recommender System for Instructors of Programming Courses

      • Hung Chau, Jordan Barria-Pineda, Peter Brusilovsky
      Pages 47-51

    11. Human-Agent Assessment: Interaction and Sub-skills Scoring for Collaborative Problem Solving

      • Pravin Chopade, Kristin Stoeffler, Saad M Khan, Yigal Rosen, Spencer Swartz, Alina von Davier
      Pages 52-57

    12. Investigation of the Influence of Hint Type on Problem Solving Behavior in a Logic Proof Tutor

      • Christa Cody, Behrooz Mostafavi, Tiffany Barnes
      Pages 58-62

    13. Modeling Math Success Using Cohesion Network Analysis

      • Scott A. Crossley, Maria-Dorinela Sirbu, Mihai Dascalu, Tiffany Barnes, Collin F. Lynch, Danielle S. McNamara
      Pages 63-67

    14. Amplifying Teachers Intelligence in the Design of Gamified Intelligent Tutoring Systems

      • Diego Dermeval, Josmário Albuquerque, Ig Ibert Bittencourt, Julita Vassileva, Wansel Lemos, Alan Pedro da Silva et al.
      Pages 68-73

    15. Where Is the Nurse? Towards Automatically Visualising Meaningful Team Movement in Healthcare Education

      • Vanessa Echeverria, Roberto Martinez-Maldonado, Tamara Power, Carolyn Hayes, Simon Buckingham Shum
      Pages 74-78

    16. Exploring Gritty Students’ Behavior in an Intelligent Tutoring System

      • Erik Erickson, Ivon Arroyo, Beverly Woolf
      Pages 79-83

    17. Characterizing Students Based on Their Participation in the Class

      • Shadi Esnaashari, Lesley Gardner, Michael Rehm
      Pages 84-88

    18. Adaptive Learning Goes to China

      • Mingyu Feng, Wei Cui, Shuai Wang
      Pages 89-93

    19. Ontology Development for Competence Assessment in Virtual Communities of Practice

      • Alice Barana, Luigi Di Caro, Michele Fioravera, Marina Marchisio, Sergio Rabellino
      Pages 94-98
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Other volumes

  1. Artificial Intelligence in Education

  2. Artificial Intelligence in Education

Editors and Affiliations

  • Carnegie Mellon University, Pittsburgh, USA

    Carolyn Penstein Rosé, Bruce McLaren

  • University of Technology, Sydney, Australia

    Roberto Martínez-Maldonado

  • University of Duisburg-Essen , Duisburg, Germany

    H. Ulrich Hoppe

  • UCL Institute of Education, London, UK

    Rose Luckin, Manolis Mavrikis, Kaska Porayska-Pomsta

  • University of Sussex, Brighton, UK

    Benedict du Boulay

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