ITS2021 is the 17th Conference of the series of Intelligent Tutoring Systems Conferences on Computer and Cognitive Sciences, Artificial Intelligence and Deep Learning in Tutoring and Education.
The theme of the conference is “INTELLIGENT TUTORING SYSTEMS IN AN ONLINE WORLD”.
The conference will be held in Athens, Greece, in June 2021.
To check the programme, click on the Link
To check the Conference Program click on a respective day on the table below:
Testing Teams Platform Networking Session | Sunday, June 6, 2021 |
Special PHD Student Session Workshop Tutorial 1 | Monday, June 7, 2021 |
Tutorial 2 Main Conference – Day 1 Panel Discussion | Tuesday, June 8, 2021 |
Main Conference – Day 2 | Wednesday, June 9, 2021 |
Main Conference – Day 3 | Thursday, June 10, 2021 |
Main Conference – Day 4 | Friday, June 11, 2021 |
The timetable of ITS2021 Conference corresponds to Eastern European Summer Time (EEST); UTC+3 hours
14:00- 15:30 | TESTING DAY: Testing Microsoft Teams platform for everyone who feels uncertain about sharing their presentation and wants to try it beforehand |
16:00- 19:00 | NETWORKING SESSION |
16:00- 17:30 | B2B meetings |
17:30- 17:40 | Break |
17:40- 19:00 | Thematic groups |
10:00- 13:00 | Title: SPECIAL SESSION FOR PHD STUDENTS
Coordinators: Mizue Kayama, Shinshu University , Japan Mike Joy, University of Warwick , UK |
13:30- 15:30 | Title: Intelligent Tutor Demonstrations
Coordinators: Mihai Dascalu, University Politehnica of Bucharest, Romania Amruth Kumar, Ramapo College of New Jersey, USA Daniela Romano, University College London, UK |
13:30- 15:10 | Part I: ITS showcases and demos |
13:30- 13:50 | Presentation of Alast Discussion and Q&A |
13:50- 14:10 | Presentation of ReadMe Discussion and Q&A |
14:10- 14:30 | Presentation of Solvelets Discussion and Q&A |
14:30- 14:50 | Presentation of Cram Discussion and Q&A |
14:50- 15:10 | Presentation of Selflt Discussion and Q&A |
15:10- 15:30 | Part II: Open discussions |
16:00- 19:00 | Title: Learning Analytics Hands-On Tutorial (LA)
Coordinator: Professor Alexandra I. Cristea, Durham University |
16:00- 16:10 | Introduction of Topic and Team |
16:10- 16:25 | Introduction of Participants |
16:25- 16:30 | Break |
16:30- 16:50 | Theory of LA |
16:50- 17:00 | Break |
17:00- 17:20 | Hands-on LA |
17:20- 17:50 | Theory of LA |
17:50- 18:00 | Break |
18:00- 18:30 | Hands-on LA |
18:30- 19:00 | Panel Discussion |
19:00 | End of Session |
10:00- 13:30 | Title: Data Science for Learning Process management
Coordinator: Filippo Sciarrone, ROMA TRE University, Rome (IT) |
10:00- 10:10 | Introduction: Summary and main goals |
10:10- 10:25 | Introduction of Participants |
10:25- 10:35 | Break |
10:35- 11:35 | Introduction to the Knime Platform: workflow environment, ML algorithms, workflow building, Data management |
11:35- 11:45 | Break |
11:45- 13:15 | Learning Process management: case studies |
13:15- 13:30 | Panel Discussion |
13:30 | End of Session |
15:00-
15:30 | Opening / Greetings Prof. Cleo Sgouropoulou – General Conference Chair Prof. Claude Frasson – President of the ITS Steering Committee Prof. Alexandra I.Cristea & Dr. Christos Troussas – Program Committee Chairs Dr. Kitty Panourgia – Organization Chair |
15:30-
17:20 | SESSION 1: ASSESSMENT
Session Chair: Christos Troussas Arthur Rump, Ansgar Fehnker, Angelika Mader Moritz Marutschke, Yugo Hayashi Robert-Mihai Botarleanu, Mihai Dascalu, Laura Allen, Scott Crossley, Danielle McNamara Bogdan Nicula, Mihai Dascalu, Natalie Newton, Ellen Orcutt, Danielle McNamara |
17:20 | End of Session |
17:30- 18:50 | Title: From Models to Deployments – The Industry Perspective on The Future of ITS Research and Implementations
Coordinators: Richard Tong, IEEE Learning Technology Standards Committee, Squirrel AI Learning Eric Cosyn, ALEKS/MHE Jerry Liu, IEEE Learning Technology Standards Committee, TAL Janice Gobert, Rutgers University, Apprendis |
17:30- 17:35 | Opening Remarks and Introduction: Mark Lee and Richard Tong |
17:35- 18:05 | Short Presentations Moderator: Janice Gobert Panelists: Richard Tong, Eric Cosyn, Jerry Liu |
18:05- 18:35 | Panel Discussion |
18:35- 18.50 | Open Q&A |
18:50 | End of Session |
19:00- 20:00 | Title: Virtual live-guided tour around Athens
A virtual journey through the most significant archaeological sites of Athens – the birthplace of democracy and philosophy – live from Greece to the ITS2021 participants. This virtual, real-time, live-guided tour through the most fascinating places (i.e. Acropolis, Parthenon, Erechtheion, Pnyx Hill, the Ancient Agora, and Plaka area) will give participants the opportunity to explore and feel the spirit of the beautiful and hospitable city of Athens by Athens Walking Tours |
11:00- 12:30 | SESSION 2: THEORY AND REVIEWS
Session Chair: Lei Shi Ryan Hodgson, Alexandra I. Cristea, Lei Shi, John Graham Zhongtian Sun, Anoushka Harit, Jialin Yu, Alexandra I. Cristea, Lei Shi MARINA AIVAZIDI, Christos Michalakelis Konstantinos Karampidis, Athina Trigoni, Giorgos Papadourakis, Maria Christofaki, Nuno Escudeiro |
12:30- 13.00 | Break |
13:00- 15:40 | SESSION 3: GAMES AND GAMIFICATION
Session Chair: Mohammad Alshehri Elad Yacobson, Armando Toda, Alexandra I. Cristea, Giora Alexandron Mohamed Sahbi Benlamine, Claude Frasson Kamilla Tenório, Bruno Lemos, Pedro Nascimento, Rodrigo Santos Silva, Alexandre Machado, Diego Dermeval, Ranilson Paiva, Seiji Isotani Tong Mu, Shuhan Wang, Erik Andersen, Emma Brunskill Amruth Kumar Christos Troussas, Akrivi Krouska, Filippos Giannakas, Cleo Sgouropoulou, Ioannis Voyiatzis Grigoreta Cojocar, Adriana Guran, Laura Diosan |
15:40- 16:00 | SPECIAL SESSION: PRESENTATION OF THE JOURNAL OF EDUCATION SCIENCES
Title: Education Sciences – An Open Access Journal by MDPI Speakers: Milica Milosev & Mladen Rajic |
16:00- 17:00 | Break |
17:00- 19:00 | SESSION 4: GROUPS, TEAMS, SOCIAL, CROWD AND COMMUNITIES
Session Chair: Maria Tzelepi Filippos Giannakas, Christos Troussas, Akrivi Krouska, Cleo Sgouropoulou, Ioannis Voyiatzis Tao wu, Maiga Chang Stefano A. Cerri, Philippe Lemoisson Fidelia Orji, Julita Vassileva Fabio Gasparetti, Filippo Sciarrone, Marco Temperini Karima Boussaha, Samia Drissi |
19:00- 20:00 | Keynote Speaker: Prof. Peter Brusilovsky
Title: The return of Intelligent Textbooks |
20:00 | End of Session |
10:00- 11:00 | Keynote Speaker: Adina Magda Florea,University POLITEHNICA of Bucharest, Romania
Title: Interpretability and Explanations in Intelligent Tutoring Systems |
11:00- 13:45 | SESSION 5: STUDENT PREDICTION
Session Chair: Valia Triperina Ahmed Alamri, Zhongtian Sun, Alexandra I. Cristea, Craig Stewart, Filipe Dwan Pereira Tahani Aljohani, Alexandra I. Cristea Laila Alrajhi, Ahmed Alamri, Filipe Dwan Pereira, Alexandra I. Cristea Efthyvoulos Drousiotis, Lei Shi, Simon Maskell Mohammad Alshehri, Ahmed Alamri, Alexandra I. Cristea Mona Alotaibi, Mike Joy |
13:45- 14:45 | Break |
14:45-
| SESSION 6 : EXTENDED REALITY
Session Chair: Jingyun Wang Alessia Genovese, Federica Marino, Francesco Orciuoli, Gennaro Zanfardino Kodjine Dare, Hamdi Ben Abdessalem, Claude Frasson Muhamad Irfan Rosli, Zarina Che Embi, Dr. Junaidi Abdullah Sarah Alshamrani |
16:00- 17:05 | SESSION 7: CONCEPT MAPS
Session Chair: Jingyun Wang Junya Morita, Yoshimasa Ohmoto, Yugo Hayashi Victor Uglev, Oleg Sychev Carla Limongelli, Carmine Margiotta, Davide Taibi Jingyun Wang, Hiroaki Ogata |
17:05- 17:30 | Break |
17.30- 19:40 | SESSION 8: FEEDBACK AND PERSONALISATION
Session Chair: Christos Papakostas Seounghun Kim, Woojin Kim, Hyeoncheol Kim Victor J. Marin, Maheen Riaz Contractor, Carlos Rivero Ilya Posov, Sergei Pozdniakov, Anton Chukhnov Victor J. Marin, Hadi Hosseini, Carlos Rivero Mohammad Niknazar, Aditya Vempaty, Ravi Kokku Laurentiu Neagu, Eric Rigaud, Vincent Guarnieri, Sebastien Travadel, Mihai Dascalu |
19:40 | End of Session |
10:00- 11:00 | Keynote Speaker: Spyros Vosinakis
Title: Extended Reality Technologies in Education: Moving beyond the “Wow” factor |
11:00- | SESSION 9: EMOTIONS AND AFFECT
Session Chair: Ahmed Alamri Soelaine Rodrigues Ascari, Andrey Pimentel, Ernani Gottardo Doru Anastasiu Popescu, Gabriel Ciprian Stanciu, Daniel Nijloveanu Filipe Dwan Pereira, Hermino Junior, Luiz Rodriguez, Armando Toda, Elaine Harada Teixeira de Oliveira, Alexandra I. Cristea, David Oliveira, Leandro Carvalho, Samuel Fonseca, Ahmed Alamri, Seiji Isotani Mahsa Aghajani, Hamdi Ben Abdessalem, Claude Frasson Moh’d A. M. Abuazizeh, Kristina Yordanova, Thomas Kirste |
13:05- 14:00 | Break |
14:00- 16:25 | SESSION 10: LEARNER BEHAVIOUR
Session Chair: Tahani Aljohani Khulood Alharbi, Alexandra I. Cristea, Lei Shi, Peter Tymms, Chris Brown Alejandra Ruiz Segura, Susanne Lajoie Sungeun An, William Broniec, Spencer Rugaber, Emily Weigel, Jennifer Hammock, Ashok Goel Rita Kuo, Ted Krahn, Maiga Chang Yoshimasa Ohmoto, Shigen Shimojo, Junya Morita, Yugo Hayashi Komi Sodoke, Roger Nkambou, Issam Tanoubi, Aude Dufresne |
16:25- 17:00 | Break |
17:00- 19:10 | SESSION 11: MODELS
Session Chair: Katerina Makri Seounghun Kim, Woojin Kim, Heeseok Jung, Hyeoncheol Kim Jialin Yu, Laila Alrajhi, Anoushka Harit, Zhongtian Sun, Alexandra I. Cristea, Lei Shi Roger Nkambou, Janie Brisson, Ange Tato, Serge Robert, Maxime Sainte-Marie Oleg Sychev, Anton Anikin, Nikita Penskoy, Mikhail Denisov, Artem Prokudin Téo Orthlieb, Hamdi Ben Abdessalem, Claude Frasson Vanesa Getseva, Amruth Kumar |
19:10- 19:30 | Closing Session
Announcements for future events: University of Bucharest, ITS2022 Dr. C.Trousas NiDS 2021 Other matters |
19:30 | End of ITS2021 Conference |
19:30- 20:00 | Farewell party with traditional Greek folklore dance and music.
|
15:00-
15:30 | Opening / Greetings Prof. Cleo Sgouropoulou – General Conference Chair Prof. Claude Frasson – President of the ITS Steering Committee Prof. Alexandra I.Cristea & Dr. Christos Troussas – Program Committee Chairs Dr. Kitty Panourgia – Organization Chair |
15:30-
17:20 | SESSION 1: ASSESSMENT Session Chair: TBA
Arthur Rump, Ansgar Fehnker, Angelika Mader Moritz Marutschke, Yugo Hayashi Robert-Mihai Botarleanu, Mihai Dascalu, Laura Allen, Scott Crossley, Danielle McNamara Bogdan Nicula, Mihai Dascalu, Natalie Newton, Ellen Orcutt, Danielle McNamara |
17:20 | End of Session |
11:00- 12:30 | SESSION 2: THEORY AND REVIEWS
Session Chair: Lei Shi Ryan Hodgson, Alexandra I. Cristea, Lei Shi, John Graham Zhongtian Sun, Anoushka Harit, Jialin Yu, Alexandra I. Cristea, Lei Shi MARINA AIVAZIDI, Christos Michalakelis Konstantinos Karampidis, Athina Trigoni, Giorgos Papadourakis, Maria Christofaki, Nuno Escudeiro |
12:30- 13.00 | Break |
13:00- 15:40 | SESSION 3: GAMES AND GAMIFICATION
Session Chair: Mohammad Alshehri Elad Yacobson, Armando Toda, Alexandra I. Cristea, Giora Alexandron Mohamed Sahbi Benlamine, Claude Frasson Kamilla Tenório, Bruno Lemos, Pedro Nascimento, Rodrigo Santos Silva, Alexandre Machado, Diego Dermeval, Ranilson Paiva, Seiji Isotani Tong Mu, Shuhan Wang, Erik Andersen, Emma Brunskill Amruth Kumar Christos Troussas, Akrivi Krouska, Filippos Giannakas, Cleo Sgouropoulou, Ioannis Voyiatzis Grigoreta Cojocar, Adriana Guran, Laura Diosan |
15:40- 16:00 | SPECIAL SESSION: PRESENTATION OF THE JOURNAL OF EDUCATION SCIENCES
Title: Education Sciences – An Open Access Journal by MDPI Speakers: Milica Milosev & Mladen Rajic |
16:00- 17:00 | Break |
17:00- 19:00 | SESSION 4: GROUPS, TEAMS, SOCIAL, CROWD AND COMMUNITIES
Session Chair: Maria Tzelepi Filippos Giannakas, Christos Troussas, Akrivi Krouska, Cleo Sgouropoulou, Ioannis Voyiatzis Tao wu, Maiga Chang Stefano A. Cerri, Philippe Lemoisson Fidelia Orji, Julita Vassileva Fabio Gasparetti, Filippo Sciarrone, Marco Temperini Karima Boussaha, Samia Drissi |
19:00- 20:00 | Keynote Speaker: Prof. Peter Brusilovsky
Title: The return of Intelligent Textbooks |
20:00 | End of Session |
10:00- 11:00 | Keynote Speaker: Adina Magda Florea,University POLITEHNICA of Bucharest, Romania
Title: Interpretability and Explanations in Intelligent Tutoring Systems |
11:00- 13:45 | SESSION 5: STUDENT PREDICTION
Session Chair: Valia Triperina Ahmed Alamri, Zhongtian Sun, Alexandra I. Cristea, Craig Stewart, Filipe Dwan Pereira Tahani Aljohani, Alexandra I. Cristea Laila Alrajhi, Ahmed Alamri, Filipe Dwan Pereira, Alexandra I. Cristea Efthyvoulos Drousiotis, Lei Shi, Simon Maskell Mohammad Alshehri, Ahmed Alamri, Alexandra I. Cristea Mona Alotaibi, Mike Joy |
13:45- 14:45 | Break |
14:45-
| SESSION 6 : EXTENDED REALITY
Session Chair: Jingyun Wang Alessia Genovese, Federica Marino, Francesco Orciuoli, Gennaro Zanfardino Kodjine Dare, Hamdi Ben Abdessalem, Claude Frasson Muhamad Irfan Rosli, Zarina Che Embi, Dr. Junaidi Abdullah Sarah Alshamrani |
16:00- 17:05 | SESSION 7: CONCEPT MAPS
Session Chair: Jingyun Wang Junya Morita, Yoshimasa Ohmoto, Yugo Hayashi Victor Uglev, Oleg Sychev Carla Limongelli, Carmine Margiotta, Davide Taibi Jingyun Wang, Hiroaki Ogata |
17:05- 17:30 | Break |
17.30- 19:40 | SESSION 8: FEEDBACK AND PERSONALISATION
Session Chair: Christos Papakostas Seounghun Kim, Woojin Kim, Hyeoncheol Kim Victor J. Marin, Maheen Riaz Contractor, Carlos Rivero Ilya Posov, Sergei Pozdniakov, Anton Chukhnov Victor J. Marin, Hadi Hosseini, Carlos Rivero Mohammad Niknazar, Aditya Vempaty, Ravi Kokku Laurentiu Neagu, Eric Rigaud, Vincent Guarnieri, Sebastien Travadel, Mihai Dascalu |
19:40 | End of Session |
10:00- 11:00 | Keynote Speaker: Spyros Vosinakis
Title: Extended Reality Technologies in Education: Moving beyond the “Wow” factor |
11:00- | SESSION 9: EMOTIONS AND AFFECT
Session Chair: Ahmed Alamri Soelaine Rodrigues Ascari, Andrey Pimentel, Ernani Gottardo Doru Anastasiu Popescu, Gabriel Ciprian Stanciu, Daniel Nijloveanu Filipe Dwan Pereira, Hermino Junior, Luiz Rodriguez, Armando Toda, Elaine Harada Teixeira de Oliveira, Alexandra I. Cristea, David Oliveira, Leandro Carvalho, Samuel Fonseca, Ahmed Alamri, Seiji Isotani Mahsa Aghajani, Hamdi Ben Abdessalem, Claude Frasson Moh’d A. M. Abuazizeh, Kristina Yordanova, Thomas Kirste |
13:05- 14:00 | Break |
14:00- 16:25 | SESSION 10: LEARNER BEHAVIOUR
Session Chair: Tahani Aljohani Khulood Alharbi, Alexandra I. Cristea, Lei Shi, Peter Tymms, Chris Brown Alejandra Ruiz Segura, Susanne Lajoie Sungeun An, William Broniec, Spencer Rugaber, Emily Weigel, Jennifer Hammock, Ashok Goel Rita Kuo, Ted Krahn, Maiga Chang Yoshimasa Ohmoto, Shigen Shimojo, Junya Morita, Yugo Hayashi Komi Sodoke, Roger Nkambou, Issam Tanoubi, Aude Dufresne |
16:25- 17:00 | Break |
17:00- 19:10 | SESSION 11: MODELS
Session Chair: Katerina Makri Seounghun Kim, Woojin Kim, Heeseok Jung, Hyeoncheol Kim Jialin Yu, Laila Alrajhi, Anoushka Harit, Zhongtian Sun, Alexandra I. Cristea, Lei Shi Roger Nkambou, Janie Brisson, Ange Tato, Serge Robert, Maxime Sainte-Marie Oleg Sychev, Anton Anikin, Nikita Penskoy, Mikhail Denisov, Artem Prokudin Téo Orthlieb, Hamdi Ben Abdessalem, Claude Frasson Vanesa Getseva, Amruth Kumar |
19:10- 19:30 | Closing Session
Announcements for future events: University of Bucharest, ITS2022 Dr. C.Trousas NiDS 2021 Other matters |
19:30 | End of ITS2021 Conference |
Title: Learning Analytics Hands-On Tutorial (Half-a-day )
Coordinator:
Team: a team of PhD students and guest researchers in Learning Analytics, demonstrating
Target Audience:
Abstract:
Data is becoming ubiquitous, and data analytics has almost swallowed up the term ‘AI’ in the understanding of the press and mass-media. Its applications are everywhere – in industry, governance, and, more recently, in education – the latter called Learning Analytics. ‘Old fashioned’ ‘top-down’ approaches, such as Intelligent Tutoring Systems (ITS) and Artificial Intelligence in Education (AIED), based on solid pedagogical foundations, have almost been replaced in many ways by the new ‘bottom-up’ approach of letting data guide us. Whilst I believe that the truth is somewhere in the middle, in this tutorial I wish to address what this new hype is about, some of its main methods, as well as allow participants some hands-on experimentation.
The aims of this tutorial is to give participants a fundamental understanding of some of the core approaches and problem-solving principles for Learning Analytics (LA) and the role of LA in current and future learning settings and environments.
Statistical Learning Analytics and visualisation: data pre-processing; methods for tackling learning analytics based on statistical approaches; the types of LA that can be done with such approaches – e.g. descriptive and beyond. Visualisation of LA data for different stakeholders – e.g. learner, teacher, administrator, etc.
Ethics of Learner Data Usage: discussions on ethical considerations of using learner data, starting from societal view, laws involved, (common) practice, future practice. Algorithmic perspectives, such as (expanded) sensitivity analysis.
Machine Learning-based Learning Analytics: shallow and deep Machine Learning methods for LA; numerical versus textual data analytical methods for LA; combined methods; sentiment analysis for LA; the types of LA that can be done with such approaches – e.g. descriptive, diagnostic, predictive, prescriptive.
Format:
Talks interspersed with hands-on sessions (Note: for the hands-on sessions, Google Colab will be used, so participants will be asked to ensure to have a Google account in advance to be able to participate hands-on; otherwise, they can see the demonstrations projected by the teaching team)
16:00- 19:00 | Title: Learning Analytics Hands-On Tutorial (LA)
Coordinator: Professor Alexandra I. Cristea, Durham University |
16:00- 16:10 | Introduction of Topic and Team |
16:10- 16:25 | Introduction of Participants |
16:25- 16:30 | Break |
16:30- 16:50 | Theory of LA |
16:50- 17:00 | Break |
17:00- 17:20 | Hands-on LA |
17:20- 17:50 | Theory of LA |
17:50- 18:00 | Break |
18:00- 18:30 | Hands-on LA |
18:30- 19:00 | Panel Discussion |
19:00 | End of Session |
Title: Data Science for learning process management (half-a-day)
Coordinator:
Filippo Sciarrone, Roma TRE University – Department of Engineering
Via della Vasca navale 79, 00146 Rome, Itay
Theme and goals:
Nowadays, all learning platforms are producing large amounts of data, i.e., big data. The scientific community that studies learning processes has the opportunity to have several available tools to extract useful information from data to improve the learning process itelf, in its broadest sense. Consequently, all the stakeholders involved have the opportunity to improve their contribution. The Internet provides business intelligence and data science platforms, aimed at processing and studying large amounts of data, regardless of the application domain which generated them, such as Weka, R, Knime, etc. etc. This tutorial aims to show the power of one of these tools, the Knime platform, free and available at www.knime.org, for applications to the learning domain of huge students’ communities such as Massive Online Open Courses. The proposal is aimed at the ITS community as a directly involved community in this field of research and especially in the field of educational data mining and learning and teaching analytics.
Fields of research strongly involved: Technology Enhanced Learning, Learning Analytics, Educational Data Mining
The tutorial will cover:
– Educational Data Mining: the most used techniques for studying learning processes
– The KNIME platform: workflows and functionalities at a basic level
– Simple case studies
Target audience:
Participants must have two important requirements: have the KNIME platform installed on their laptop or desktop and have a minimum of background in machine learning techniques, better if applied to learning processes.
Activities planned.
Expected outcomes.
Through this tutorial, participants will acquire some basic skills and knowledge to be able to design a data management workflow applied to the educational field, by using the Knime business intelligence platform.
Video/audio facilities and other equipment needed
Participants need some data sets for the case studies analysis, posted by myself before starting
10:00- 13:30 | Title: Data Science for Learning Process management
Coordinator: Filippo Sciarrone, ROMA TRE University, Rome (IT) |
10:00- 10:10 | Introduction: Summary and main goals |
10:10- 10:25 | Introduction of Participants |
10:25- 10:35 | Break |
10:35- 11:35 | Introduction to the Knime Platform: workflow environment, ML algorithms, workflow building, Data management |
11:35- 11:45 | Break |
11:45- 13:15 | Learning Process management: case studies |
13:15- 13:30 | Panel Discussion |
13:30 | End of Session |
Title: Intelligent Tutor Demonstrations
Chairs: Mihai Dascalu, Amruth Kumar, and Daniela M. Romano
This is an interactive session in which participants are invited to demonstrate their intelligent tutoring system (whether completed or work in progress) for 10 minutes, followed by feedback and questions from the audience for 10 minutes.
This workshop is an invaluable opportunity for researchers to showcase their tutor and obtain formative feedback, whether their tutor is completed or in developmental stage. It is also meant to help researchers present their ideas, clarify their design, and get feedback on the design, implementation, and evaluation of their intelligent tutor.
Participation in this event is free of cost for both registrants and non-registrants of the conference.
For instructions to participate in the workshop, click HERE
Last day to submit a proposal for Tutor Demonstrations Session: Monday, May 24, 2021
13:30- 15:30 | Title: Intelligent Tutor Demonstrations
Coordinators: Mihai Dascalu, University Politehnica of Bucharest, Romania Amruth Kumar, Ramapo College of New Jersey, USA Daniela Romano, University College London, UK |
13:30- 14:15 | First Part |
14:15- 14:45 | Break |
14:45- 15:30 | Second Part |
Title: Special Tutoring Session for PHD Students (HD)
Coordinators:
Content:
A new initiative addressed to PhD students who are first authors of approved papers/posters. It constitutes an extra session where students can discuss their paper with experienced researchers and academics, before the official presentation of their papers during the main sessions of the conference.
This special session will take place during the workshop and tutorial dates and will be free of charge.
Target Audience:
10:00- 13:00 | Title: SPECIAL SESSION FOR PHD STUDENTS
Coordinators: Mizue Kayama, Shinshu University , Japan Mike Joy, University of Warwick , UK |
Keynote Speech
Title: The return of Intelligent Textbooks
Abstract: Early research on hypermedia learning and Web-based education featured a strong stream of work on intelligent and adaptive textbooks, which combined the knowledge modeling ideas from the field of intelligent tutoring with rich linking offered by the hypermedia and the Web. However, over the next ten years from 2005 to 2015 this area was relatively quiet as the focus of research in e-learning has shifted to other topics and other creative ideas to leverage the power of Internet. A recent gradual shift of the whole publication industry from printed books to electronic books followed by a rapid growth or the volume of online books re-ignited interests to “more intelligent” textbooks. The research on the new generation of intelligent textbooks engaged a larger set of technologies and engaged scholars from a broader range of areas including machine learning, natural language understanding, social computing, etc. In my talk I will review the past and present of research on intelligent textbooks from its origins to the diverse modern work providing examples of most interesting technologies and research results.
Keynote Speech
Title: Interpretability and Explanations in Intelligent Tutoring Systems
Abstract:
Since the first developments of ITSs, the capacity to understand and interpret student behavior while learning has been a key issue of the system. Interpreting the student model is important both for the teachers, making them able to evaluate the student progress, accumulated knowledge and week points, and for the students, in particular in the context of building open learner models, which allow the learner to view and understand information about himself/herself, thus better motivating and engaging the student. With the outburst of machine learning (ML) techniques, there is a strong interest in developing learner models based on different ML approaches. However, interpretability and explainability of such models are most of the time a challenge. The talk presents the recent advances in using machine learning methods to develop student models and analyses the extent to which these models can be interpreted and explained to both teachers and students. It compares these methods to the “traditional” knowledge-based approaches and explore the challenges of making ML an effective tool for delivering personalized learning experiences.
Keynote Speech
Title: Extended Reality Technologies in Education: Moving beyond the “Wow” factor
Abstract
: Virtual Reality (VR) has always been considered a medium with great potential for education, from the early days of expensive high-end immersive systems, through the era of massive multiuser virtual worlds, until the recent widespread releases of consumer headsets. Yet, despite the popularity and the strong research and commercial interest in these technologies, today their use as learning environments still not a commonplace. Mixed and Augmented reality are equally promising solutions that go beyond the ‘isolating’ nature of VR by effectively integrating digital content with the real world. As such, they bring new affordances for learning through the enhancement of real-world places and artifacts with learning content and activities. Again, their adoption in education is not as widespread as expected. So, although many researchers agree that extended reality technologies (XR – virtual, mixed or augmented reality) have the potential to deliver rich learning experiences, there seem to be several factors that hold them back. This talk introduces the main technological approaches and trends in XR and describes their affordances and limitations. It presents an overview of their usage in education and identifies good practices and paradigms. Additionally, it outlines our hands-on experience from the development and evaluation of a series of projects in the area of learning using XR technologies, focusing on critical observations, noteworthy results and usability issues. The talk concludes with a discussion on the prospects and pitfalls of XR as an educational tool and directions for future research that might further exploit their potential.
Chair
Members
The Hosting Institution of the ITS2021 Conference is the University of West Attica (UNIWA), and in particular, the Laboratory of Educational Technology and e-Learning Systems (EDUTeL).
University of West Attica
UNIWA is the third largest university in the country with regards to the number of undergraduate students (in regular season), whereas it hosts over 50,000 students in total.
The University of West Attica is the third largest in the country in terms of student numbers. It has approximately 52,000 undergraduate, 1,150 postgraduate and 210 doctoral students. UNIWA is expanded to three Campuses within the metropolitan region of Athens, including twenty-seven departments, organized into six Schools, covering a wide range of disciplines. The School of Public Health, the School of Management, Economics and Social Sciences, the School of Food Sciences, the School of Health and Welfare Sciences, the School of Applied Arts and Culture and the School of Engineering. UNIWA aims to meet the educational, social, cultural, and developmental needs of the country, the scientific fields it serves, in addition to promoting research and disseminating innovative scientific knowledge and technical expertise.
The Educational Technology and Electronic e-Learning Systems Laboratory of the Department of Informatics and Computer Engineering in UNIWA is an important pole of research, development, synergy and excellence in the axes and sub-disciplines of educational technology and learning systems with proven activity in resource recovery European and national programs, organization of international conference representatives, national representation in European and international Standardization-organisms in the field of learning technologies, participation in committees of national training organizations and lifelong learning (Education Policy Institute).
The Director of EDUTeL is Prof. Cleo Sgouropoulou.
https://www.youtube.com/watch?v=Iad9iPRWGHw&feature=emb_imp_woyt&ab_channel=LionDproductions