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Intelligent Tutoring Systems

17th International Conference, ITS 2021, Virtual Event, June 7–11, 2021, Proceedings

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Alexandra I. Cristea

    1. Department of Computer Science, Durham University, Durham, UK

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    You can also search for this editor in PubMed   Google Scholar

  2. Christos Troussas

    1. University of West Attica, Aigaleo, Greece

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12677)

Part of the book sub series: Programming and Software Engineering (LNPSE)

Included in the following conference series:

Conference proceedings info: ITS 2021.

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Table of contents (58 papers)

  1. Front Matter

    Pages i-xviii
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  2. Theory and Reviews

    1. Front Matter

      Pages 1-1
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    2. Difficulties and Disparities to Distance Learning During Covid-19 Period for Deaf Students –A Proposed Method to Eradicate Inequalities

      • Konstantinos Karampidis, Athina Trigoni, Giorgos Papadourakis, Maria Christofaki, Nuno Escudeiro
      Pages 3-7

    3. Wide-Scale Automatic Analysis of 20 Years of ITS Research

      • Ryan Hodgson, Alexandra Cristea, Lei Shi, John Graham
      Pages 8-21

    4. Exploring the Barriers of Educational Innovation

      • Aivazidi Marina, Michalakelis Christos
      Pages 22-27

    5. A Brief Survey of Deep Learning Approaches for Learning Analytics on MOOCs

      • Zhongtian Sun, Anoushka Harit, Jialin Yu, Alexandra I. Cristea, Lei Shi
      Pages 28-37

  3. Models

    1. Front Matter

      Pages 39-39
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    2. DiKT: Dichotomous Knowledge Tracing

      • Seounghun Kim, Woojin Kim, Heeseok Jung, Hyeoncheol Kim
      Pages 41-51

    3. CompPrehension - Model-Based Intelligent Tutoring System on Comprehension Level

      • Oleg Sychev, Anton Anikin, Nikita Penskoy, Mikhail Denisov, Artem Prokudin
      Pages 52-59

    4. Learning Logical Reasoning : Improving the Student Model with a Data Driven Approach

      • Roger Nkambou, Janie Brisson, Serge Robert, Ange Tato
      Pages 60-67

    5. Checking Method for Fake News to Avoid the Twitter Effect

      • Téo Orthlieb, Hamdi Ben Abdessalem, Claude Frasson
      Pages 68-72

    6. Comparing Bayesian Knowledge Tracing Model Against Naïve Mastery Model

      • Vanesa Getseva, Amruth N. Kumar
      Pages 73-77

    7. Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums

      • Jialin Yu, Laila Alrajhi, Anoushka Harit, Zhongtian Sun, Alexandra I. Cristea, Lei Shi
      Pages 78-90

  5. Student Prediction

    1. Front Matter

      Pages 117-117
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    2. MOOC Next Week Dropout Prediction: Weekly Assessing Time and Learning Patterns

      • Ahmed Alamri, Zhongtian Sun, Alexandra I. Cristea, Craig Stewart, Filipe Dwan Pereira
      Pages 119-130
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  1. Intelligent Tutoring Systems

Keywords

About this book

This volume constitutes the proceedings of the 17th International Conference on Intelligent Tutoring Systems, ITS 2021, held in Athens, Greece, in June 2021. Due to COVID-19 pandemic the conference was held virtually.
The 22 full papers, 22 short papers and 18 other papers presented in this volume were carefully reviewed and selected from 87 submissions.
Conforming to the current move of education, work and leisure online, the title of ITS 2021 was “Intelligent Tutoring Systems in an online world”. Its objective was to present academic and research achievements of computer and cognitive sciences, artificial intelligence, and, due to its recent emergence, specifically, deep learning in tutoring and education

Editors and Affiliations

  • Department of Computer Science, Durham University, Durham, UK

    Alexandra I. Cristea

  • University of West Attica, Aigaleo, Greece

    Christos Troussas

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