Intelligent Tutoring Systems: 16th International Conference, ITS 2020, Athens, Greece, June 8–12, 2020, Proceedings

462 Pages·2020·31.856 MB·English

by  Vivekanandan Kumar, Christos Troussas

Vivekanandan Kumar
Christos Troussas (Eds.)
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16th International Conference, ITS 2020
Athens, Greece, June 8–12, 2020
Proceedings
Lecture Notes in Computer Science 12149
Founding Editors
Gerhard Goos
Karlsruhe Institute of Technology, Karlsruhe, Germany
Juris Hartmanis
Cornell University, Ithaca, NY, USA
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Purdue University, West Lafayette, IN, USA
Wen Gao
Peking University, Beijing, China
Bernhard Steffen
TU Dortmund University, Dortmund, Germany
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RWTH Aachen, Aachen, Germany
Moti Yung
Columbia University, New York, NY, USA
More information about this series at http://www.springer.com/series/7408
Vivekanandan Kumar Christos Troussas (Eds.)
(cid:129)
Intelligent
Tutoring Systems
16th International Conference, ITS 2020
–
Athens, Greece, June 8 12, 2020
Proceedings
123
Editors
VivekanandanKumar Christos Troussas
Athabasca University University of West Attica
Athabasca, AB,Canada Egaleo,Greece
ISSN 0302-9743 ISSN 1611-3349 (electronic)
Lecture Notesin Computer Science
ISBN 978-3-030-49662-3 ISBN978-3-030-49663-0 (eBook)
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Preface
The 16th International Conference on Intelligent Tutoring Systems (ITS 2020) was
heldinAthens,Greece,duringJune8–12,2020.ITS2020tookplaceonthescheduled
dates as an online conference. The hosting institution of theITS 2020 conference was
the University of West Attica, Greece.
The theme of ITS 2020 was “Artificial Intelligence and Beyond: From Alpha to
Omega”withanobjectivetopresentacademicandresearchachievementsofcomputer
and cognitive sciences, artificial intelligence (AI), and deep learning vis-a-vis the
advances of Intelligent Tutoring Systems. ITS 2020 focused on the use of novel and
sophisticated technologies blending with multifaceted research approaches for pro-
moting and ameliorating tutoring systems. It provided a setting to discuss recent and
high-qualitydevelopmentsinthebroaderareaofAIinEducation.Inaddition,itoffered
a good opportunity for participants to present and discuss topics in their respective
research areas, allowing an online network of researchers.
Thecallforscientificpapersfocusedonaplethoraoftopicsofinterestintheareaof
ITS and beyond including the following:
(cid:129) Intelligent Tutoring
(cid:129) AI in Education
(cid:129) Educational Data Mining
(cid:129) Machine Learning in Intelligent Tutoring Systems
(cid:129) Deep Learning and Intelligent Tutoring Systems
(cid:129) Informal Learning Environments and Learning as a Side Effect of Interactions
(cid:129) Collaborative and Group Learning, Communities of Practice, and Social Networks
(cid:129) Simulation-Based Learning and Serious Games
(cid:129) Immersive and Virtual Reality Environments
(cid:129) Dialogue and Discourse During Learning Interactions
(cid:129) Ubiquitous, Mobile, and Cloud Learning Environments
(cid:129) Empirical Studies of Learning with Technologies
(cid:129) Understanding Human Learning on the Web
(cid:129) Adaptive Support for Learning, Models of Learners, and Diagnosis and Feedback
(cid:129) Intelligent Health Applications
(cid:129) Modeling of Motivation, Metacognition, and Affect Aspects of Learning
(cid:129) Recommender Systems for Learning
(cid:129) Virtual Pedagogical Agents and Learning Companions
(cid:129) Ontological Modeling, Semantic Web Technologies, and Standards for Learning
(cid:129) Multi-Agent and Service Oriented Architectures for Learning and Tutoring
Environments
(cid:129) Educational Exploitation of Data Mining and Machine Learning Techniques
(cid:129) Instructional Design Principles or Design Patterns for Educational Environments
(cid:129) Authoring Tools and Development Methodologies for Advanced Learning
Technologies
vi Preface
(cid:129) Domain-Specific Learning Technologies, e.g. Language, Mathematics, Reading,
Science, Medicine, Military, and Industry
(cid:129) Non-Conventional Interactions Between AI and Human Learning
(cid:129) Privacy and Security in e-Learning Environments
(cid:129) Affective Computing and Intelligent Tutoring Systems
(cid:129) Brain-Computer Interface applications in Intelligent Tutoring Systems
(cid:129) Analytics and Casual Modeling in Intelligent Tutoring
The call for papers solicited work presenting substantive new research results in
using advanced computer technologies and interdisciplinary research for enabling,
supporting,andenhancinghumanlearning.APostersTrackwasalsoorganized,which
provided an interactive forum for authors to present research prototypes to conference
participants, as well as work in progress.
The international Program Committee consisted of 93 leading members of the
Intelligent Tutoring Systems community (26 senior and 57 regular), as well as highly
promising younger researchers. The conference general chair was Cleo Sgouropoulou
from the University of West Attica, Greece, whereas the Program Committee chairs
wereViveKumarfromAthabascaUniversity,Canada,andChristosTroussasfromthe
University of West Attica, Greece.
Scientific papers were reviewed by three to five reviewers (one or more being
senior) through a double-blind process. Only 27% of submitted papers were accepted
asfullpapers,about23%wereacceptedasshortpapers,andjust13%wereacceptedas
posters. These percentages indicate that ITS 2020 is a top-flight, rather selective,
high-quality conference. During the review process, the reviewers’ evaluations were
generally respected, especially those made by the senior reviewers.
A separate Doctoral Consortium (DC) provided a forum in which PhD students
could present and discuss their work during its early stages, meet peers with related
interests, and work with more senior members of the field (mentors). The DC chairs
were Jason Harley from McGill University, Canada, and Christos Troussas from the
UniversityofWestAttica,Greece.TheacceptedsubmissionsoftheDCwerepresented
as posters. The management of the review process and the preparation of the pro-
ceedings was handled through EasyChair.
On the basis of the ITS philosophy, the selected full papers described some very
significant research, the short papers investigated some very interesting novel ideas,
while the posters presented research in progress that deserves close attention.
A variety of new techniques were introduced or revisited, including multimodal
affective computing, explainable AI, mixed-compensation multidimensional item
response, ensemble deep learning, cohesion network analysis, spiral of silence, con-
versationalagent,semanticweb,computer-supportedcollaborativelearning,andsocial
network analysis. The rigor of the reported work was ironclad and yielded several
generalizable results. Moreover, it allowed room for the deployment of methods such
as observational studies, longitudinal studies, and meta-analysis that may offer new
perspectives in future ITS conferences.
Aconference isonly asgood as itsauthors, how they expand the frontiers, andthe
rigorwithwhichtheycompeltherestofthecommunitytoexplorethebeyond.Justas
ithasbeenforthepastfourdecades,thepapersofITS2020pushedtheboundariesof
Preface vii
intelligenttutoringfurther.Severalofthemhadreportedground-breakingworkinareas
including conversational agents, gamification, social profiling, emotive computing,
grades prediction, employment status prediction, theory generalization, virtual
instruction, and community robotics.
The ITS 2020 program was reinforced by the successful organization of a full-day
workshop:“IntelligenceSupportforMentoringProcessesinHigherEducation”byRalf
Klamma, Milos Kravcik, Elvira Popescu, and Viktoria Pammer-Schindler, and a
half-day tutorial: “ASSET Learning Programme Model and Accompanying Tools” by
Eleni-Aikaterini Leligou and Panagiotis Karkazis. They were both selected and man-
agedby theworkshop andtutorialchair,AthanasiosVoulodimos,from theUniversity
of West Attica, Greece.
Amid the difficult and unprecedented conditions of the COVID-19 repercussions,
we would like to we express our gratitude to many different contributors:
The successful preparation and implementation of the ITS 2020 conference was
securedbytheoriginalworkofalltheauthors,thedevotedcontributionofthevarious
conference chairs, the members of the Program Committee, the Steering Committee,
and in particular its chair, Prof. Claude Frasson. The organization, coordination, and
onlineoperationoftheconferencewasachievedbytheorganizersandtheorganization
chair, Kitty Panourgia. We would also like to address our special thanks to the con-
ference sponsors, Microsoft Greece, and Cisco Greece for the support. Last but not
least,wewouldliketoacknowledgetheInstituteofIntelligentSystems(IIS)underthe
auspices of which this conference was held.
Instead of an epilogue to this preface, we would like to stress that one of the basic
outcomes of the ITS 2020 conference is the balance between new researchers and
established researchers, novel topics and finely aged topics, theoretical extensions and
commercial interests, breadthwise growth of topics and depth wise evolution of sub-
genres.Thisbalanceconstitutesanabsolutelyessentialdimensiontosustainthefieldof
Intelligent Tutoring Systems in the context of new endeavors by its academic and
research community.
April 2020 Vive Kumar
Christos Troussas
Organization
Conference Committee
General Chair
Cleo Sgouropoulou University of West Attica, Greece
Program Chairs
Vivekanandan Kumar Athabasca University, Canada
Christos Troussas University of West Attica, Greece
Organization Chair
Kitty Panourgia Neoanalysis, Greece
Workshops and Tutorial Chair
Athanasios Voulodimos University of West Attica, Greece
Doctoral Consortium Chairs
Jason Harley McGill University, Canada
Christos Troussas University of West Attica, Greece
Posters and Demos Chair
Kyparisia Papanikolaou School of Pedagogical and Technological Education,
Greece
TheconferencewasheldundertheauspicesoftheInstituteofIntelligentSystems(IIS).
Program Committee
Program Chairs
Vivekanandan Kumar Athabasca University, Canada
Christos Troussas University of West Attica, Greece
x Organization
Senior Program Committee
Kevin Ashley University of Pittsburgh, USA
Roger Azevedo University of Central Florida, USA
Bert Bredeweg University of Amsterdam, The Netherlands
Stefano A. Cerri LIRMM,UniversityofMontpellier,andCNRS,France
Maiga Chang Athabasca University, Canada
Michaela Cocea University of Porthsmouth, UK
Michel Desmarais École Polytechnique de Montréal, Canada
Benedict Du Boulay University of Sussex, UK
Claude Frasson University of Montreal, Canada
Gilles Gauthier Université du Québec à Montréal,, Canada
Peter Groumpos University of Patras, Greece
Nathalie Guin University of Lyon 1, France
Yugo Hayashi Ritsumeikan University, Japan
W. Lewis Johnson Alelo Inc., USA
Charalambos Karagiannidis University of Thessaly, Greece
Kinshuk University of North Texas, USA
Siu-Cheung Kong The University of Hong Kong, China
Vivekanandan Kumar Athabasca University, Canada
Jean-Marc Labat Université Paris 6, France
Susanne Lajoie McGill University, Canada
Riichiro Mizoguchi Japan Advanced Institute of Science and Technology,
Japan
Roger Nkambou Université du Québec à Montréal, Canada
Demetrios Sampson University of Piraeus, Greece
Stefan Trausan-Matu Politehnica University of Bucharest, Romania
Christos Troussas University of West Attica, Greece
Beverly Park Woolf University of Massachusetts, USA
Program Committee
Mohammed Abdel Razek King Abdulaziz University, Saudi Arabia
Fabio Akhras Renato Archer Center of Information Technology,
Brazil
Galia Angelova Bulgarian Academy of Sciences, Bulgaria
Silvia Margarita Baldiris Fundación Universitaria, Spain
Navarro
Maria Lucia Barron-Estrada Instituto Tecnológico de Culiacán, Mexico
Maria Bielikova Slovak University of Technology in Bratislava,
Slovakia
Emmanuel Blanchard IDÛ Interactive Inc., Canada
François Bouchet Université de Sorbonne and LIP6, France
David Boulanger Athabasca University, Canada
Nicola Capuano University of Salerno, Italy
Chih-Kai Chang National University of Tainan, Taiwan
Maher Chaouachi McGill University, Canada