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 Solving
Priscylla Silva, Evandro Costa, Joseana Régis de Araújo
Analysis and Prediction of Student Emotions While Doing Programming Exercises
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
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