ITS 2019 - Research and Papers (Springer)

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ITS 2019 – Research and Papers

A Learning Early-Warning Model Based on Knowledge Points

Jiahe Zhai, Zhengzhou Zhu, Deqi Li, Nanxiong Huang, Kaiyue Zhang, Yuqi Huang

Adaptive Learning Spaces with Context-Awareness

Valéry Psyché, Ben Daniel, Jacqueline Bourdeau

An Adaptive Approach to Provide Feedback for Students in Programming Problem Solvi ng

Priscylla Silva, Evandro Costa, Joseana Régis de Araújo

Analysis and Prediction of Student Emotions While Doing Programming Problem Solving

Thomas James Tiam-Lee, Kaoru Sumi

Analyzing the Group Formation Process in Intelligent Tutoring Systems

Aarón Rubio-Fernández, Pedro J. Muñoz-Merino, Carlos Delgado Kloos

Analyzing the Usage of the Classical ITS Software Architecture and Refining It

Nikolaj Troels Graf von Malotky, Alke Martens

Assessing Students’ Clinical Reasoning Using Gaze and EEG Features

Imène Jraidi, Asma Ben Khedher, Maher Chaouachi, Claude Frasson

Computer-Aided Intervention for Reading Comprehension Disabilities

Chia-Ling Tsai, Yong-Guei Lin, Wen-Yang Lin, Marlene Zakierski

Conceptualization of IMS that Estimates Learners’ Mental States from Learners’ Physiological Information Using Deep Neural Network Algorithm

Tatsunori Matsui, Yoshimasa Tawatsuji, Siyuan Fang, Tatsuro Uno

Data-Driven Student Clusters Based on Online Learning Behavior in a Flipped Classroom with an Intelligent Tutoring System

Ines Šarić, Ani Grubišić, Ljiljana Šerić, Timothy J. Robinson

Decision Support for an Adversarial Game Environment Using Automatic Hint Generation

Steven Moore, John Stamper

Detecting Collaborative Learning Through Emotions: An Investigation Using Facial Expression Recognition

Yugo Hayashi

Fact Checking Misinformation Using Recommendations from Emotional Pedagogical Agents

Ricky J. Sethi, Raghuram Rangaraju, Bryce Shurts

Intelligent On-line Exam Management and Evaluation System

Tsegaye Misikir Tashu, Julius P. Esclamado, Tomas Horvath

Learning by Arguing in Argument-Based Machine Learning Framework

Matej Guid, Martin Možina, Matevž Pavlič, Klemen Turšič

Model for Data Analysis Process and Its Relationship to the Hypothesis-Driven and Data-Driven Research Approaches

Miki Matsumuro, Kazuhisa Miwa

On the Discovery of Educational Patterns using Biclustering

Rui Henriques, Anna Carolina Finamore, Marco Antonio Casanova

Parent-Child Interaction in Children’s Learning How to Use a New Application

Akihiro Maehigashi, Sumaru Niida

PKULAE: A Learning Attitude Evaluation Method Based on Learning Behavior

Deqi Li, Zhengzhou Zhu, Youming Zhang, Zhonghai Wu

Parent-Child Interaction in Children’s Learning How to Use a New Application

Akihiro Maehigashi, Sumaru Niida

Predicting MOOCs Dropout Using Only Two Easily Obtainable Features from the First Week’s Activities

Ahmed Alamri, Mohammad Alshehri, Alexandra Cristea, Filipe D. Pereira, Elaine Oliveira, Lei Shi et al.

Predicting Subjective Enjoyment of Aspects of a Videogame from Psychophysiological Measures of Arousal and Valence

Julien Mercier, Pierre Chalfoun, Matthew Martin, Ange Adrienne Tato, Daniel Rivas

Providing the Option to Skip Feedback – A Reproducibility Study

Amruth N. Kumar

Reducing Annotation Effort in Automatic Essay Evaluation Using Locality Sensitive Hashing

Tsegaye Misikir Tashu, Dávid Szabó, Tomáš Horváth

Representing and Evaluating Strategies for Solving Parsons Puzzles

Amruth N. Kumar

Testing the Robustness of Inquiry Practices Once Scaffolding Is Removed

Haiying Li, Janice Gobert, Rachel Dickler

Toward Real-Time System Adaptation Using Excitement Detection from Eye Tracking

Hamdi Ben Abdessalem, Maher Chaouachi, Marwa Boukadida, Claude Frasson

Towards Predicting Attention and Workload During Math Problem Solving

Ange Tato, Roger Nkambou, Ramla Ghali