Intelligent Tutoring Systems

13th International Conference, ITS 2016, Zagreb, Croatia, June 7-10, 2016. Proceedings

  • Alessandro Micarelli
  • John Stamper
  • Kitty Panourgia
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9684)

Table of contents

  1. Full Papers

    1. Roger Azevedo, Seth A. Martin, Michelle Taub, Nicholas V. Mudrick, Garrett C. Millar, Joseph F. Grafsgaard
      Pages 197-207
  2. Short Papers

    1. Front Matter
      Pages 219-219
    2. Rachel Harsley, Barbara Di Eugenio, Nick Green, Davide Fossati, Sabita Acharya
      Pages 227-233
    3. Thelma D. Palaoag, Ma. Mercedes T. Rodrigo, Juan Miguel L. Andres, Juliana Ma. Alexandra L. Andres, Joseph E. Beck
      Pages 234-239
    4. Michelle Taub, Nicholas V. Mudrick, Roger Azevedo, Garrett C. Millar, Jonathan Rowe, James Lester
      Pages 240-246
    5. Philip I. Pavlik Jr., Craig Kelly, Jaclyn K. Maass
      Pages 247-253
    6. Stergios Tegos, Stavros Demetriadis, Thrasyvoulos Tsiatsos
      Pages 260-266
    7. Jan Papoušek, Vít Stanislav, Radek Pelánek
      Pages 267-272
    8. Seth A. Martin, Roger Azevedo, Michelle Taub, Nicholas V. Mudrick, Garrett C. Millar, Joseph F. Grafsgaard
      Pages 273-279
    9. Ioannis Magnisalis, Stavros Demetriadis, Pantelis M. Papadopoulos
      Pages 280-285
    10. Oluwabunmi Adewoyin, Roberto Araya, Julita Vassileva
      Pages 286-293
    11. Tiago Roberto Kautzmann, Talvany Carlotto, Patrícia A. Jaques
      Pages 301-306
    12. Blandine Ginon, Clelia Boscolo, Matthew D. Johnson, Susan Bull
      Pages 307-313
    13. Sarah E. Schultz, Naomi Wixon, Danielle Allessio, Kasia Muldner, Winslow Burleson, Beverly Woolf et al.
      Pages 314-319
    14. Eric Butler, Emina Torlak, Zoran Popović
      Pages 320-326
    15. Noboru Matsuda, Martin van Velsen, Nikolaos Barbalios, Shuqiong Lin, Hardik Vasa, Roya Hosseini et al.
      Pages 327-333

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 13th International Conference on Intelligent Tutoring Systems, ITS 2016, held in Zagreb, Croatia, in June 2016.

The 20 revised full papers, 32 short papers, 35 posters, and 7 young researchers’ track papers presented in this volume were carefully reviewed and selected from 147 submissions. The specific theme of the ITS 2016 conference is "Adaptive Learning in Real World Contexts".

ITS 2016 covers a wide range of topics such as: intelligent tutoring; informal learning environments, learning as a side effect of interactions; collaborative and group learning, communities of practice and social networks; simulation-based learning and serious games; dialogue and discourse during learning interactions; co-adaptation between technologies and human learning; ubiquitous and mobile learning environments; empirical studies of learning with technologies, understanding human learning on the web; adaptive support for learning, models of learners, diagnosis and feedback; modeling of motivation, metacognition, and affect aspects of learning; recommender systems for learning; virtual pedagogical agents and learning companions; ontological modeling, semantic web technologies and standards for learning; multi-agent and service oriented architectures for learning and tutoring environments; educational exploitation of data mining and machine learning techniques; instructional design principles or design patterns for educational environments; authoring tools and development methodologies for advanced learning technologies; domain-specific learning technologies, e.g. language, mathematics, reading, science, medicine, military, and industry; non conventional interactions between artificial intelligence and human learning; and privacy and security in e-learning environments.

Keywords

artificial intelligence in education collaborative learning e-learning interactive learning environments social interaction active learning bayesian networks brain computer interface cognitive models computer-assisted instruction data mining data structures distance learning genetic algorithm learning management systems machine learning natural language processing ontology personalized education semantic analysis

Editors and affiliations

  • Alessandro Micarelli
    • 1
  • John Stamper
    • 2
  • Kitty Panourgia
    • 3
  1. 1.Roma Tre University RomeItaly
  2. 2.Carnegie Mellon University PittsburghUSA
  3. 3.Neoanalysis Ltd AthensGreece

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-39583-8
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-39582-1
  • Online ISBN 978-3-319-39583-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349