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15th ITS 2019: Kingston, Jamaica
- André Coy, Yugo Hayashi, Maiga Chang:
Intelligent Tutoring Systems - 15th International Conference, ITS 2019, Kingston, Jamaica, June 3-7, 2019, Proceedings. Lecture Notes in Computer Science 11528, Springer 2019, ISBN 978-3-030-22243-7 - Jiahe Zhai, Zhengzhou Zhu, Deqi Li, Nanxiong Huang, Kaiyue Zhang, Yuqi Huang:
A Learning Early-Warning Model Based on Knowledge Points. 1-6 - Valéry Psyché, Ben Daniel, Jacqueline Bourdeau:
Adaptive Learning Spaces with Context-Awareness. 7-13 - Priscylla Silva, Evandro Costa, Joseana Régis de Araújo:
An Adaptive Approach to Provide Feedback for Students in Programming Problem Solving. 14-23 - Thomas James Z. Tiam-Lee, Kaoru Sumi:
Analysis and Prediction of Student Emotions While Doing Programming Exercises. 24-33 - Aarón Rubio-Fernández, Pedro J. Muñoz Merino, Carlos Delgado Kloos:
Analyzing the Group Formation Process in Intelligent Tutoring Systems. 34-39 - Nikolaj Troels Graf von Malotky, Alke Martens:
Analyzing the Usage of the Classical ITS Software Architecture and Refining It. 40-46 - Imène Jraidi, Asma Ben Khedher, Maher Chaouachi, Claude Frasson:
Assessing Students' Clinical Reasoning Using Gaze and EEG Features. 47-56 - Chia-Ling Tsai, Yong-Guei Lin, Wen-Yang Lin, Marlene Zakierski:
Computer-Aided Intervention for Reading Comprehension Disabilities. 57-62 - Tatsunori Matsui, Yoshimasa Tawatsuji, Siyuan Fang, Tatsuro Uno:
Conceptualization of IMS that Estimates Learners' Mental States from Learners' Physiological Information Using Deep Neural Network Algorithm. 63-71 - Ines Saric, Ani Grubisic, Ljiljana Seric, Timothy J. Robinson:
Data-Driven Student Clusters Based on Online Learning Behavior in a Flipped Classroom with an Intelligent Tutoring System. 72-81 - Steven Moore, John C. Stamper:
Decision Support for an Adversarial Game Environment Using Automatic Hint Generation. 82-88 - Yugo Hayashi:
Detecting Collaborative Learning Through Emotions: An Investigation Using Facial Expression Recognition. 89-98 - Ricky J. Sethi, Raghuram Rangaraju, Bryce Shurts:
Fact Checking Misinformation Using Recommendations from Emotional Pedagogical Agents. 99-104 - Tsegaye Misikir Tashu, Julius P. Esclamado, Tomás Horváth:
Intelligent On-line Exam Management and Evaluation System. 105-111 - Matej Guid, Martin Mozina, Matevz Pavlic, Klemen Tursic:
Learning by Arguing in Argument-Based Machine Learning Framework. 112-122 - Miki Matsumuro, Kazuhisa Miwa:
Model for Data Analysis Process and Its Relationship to the Hypothesis-Driven and Data-Driven Research Approaches. 123-132 - Rui Henriques, Anna Carolina Finamore, Marco Antonio Casanova:
On the Discovery of Educational Patterns using Biclustering. 133-144 - Akihiro Maehigashi, Sumaru Niida:
Parent-Child Interaction in Children's Learning How to Use a New Application. 145-155 - Deqi Li, Zhengzhou Zhu, Youming Zhang, Zhonghai Wu:
PKULAE: A Learning Attitude Evaluation Method Based on Learning Behavior. 156-162 - Ahmed Alamri, Mohammad Alshehri, Alexandra I. Cristea, Filipe D. Pereira, Elaine H. T. Oliveira, Lei Shi, Craig D. Stewart:
Predicting MOOCs Dropout Using Only Two Easily Obtainable Features from the First Week's Activities. 163-173 - Julien Mercier, Pierre Chalfoun, Matthew Martin, Ange Adrienne Nyamen Tato, Daniel Rivas:
Predicting Subjective Enjoyment of Aspects of a Videogame from Psychophysiological Measures of Arousal and Valence. 174-179 - Amruth N. Kumar:
Providing the Option to Skip Feedback - A Reproducibility Study. 180-185 - Tsegaye Misikir Tashu, Dávid Szabó, Tomás Horváth:
Reducing Annotation Effort in Automatic Essay Evaluation Using Locality Sensitive Hashing. 186-192 - Amruth N. Kumar:
Representing and Evaluating Strategies for Solving Parsons Puzzles. 193-203 - Haiying Li, Janice D. Gobert, Rachel Dickler:
Testing the Robustness of Inquiry Practices Once Scaffolding Is Removed. 204-213 - Hamdi Ben Abdessalem, Maher Chaouachi, Marwa Boukadida, Claude Frasson:
Toward Real-Time System Adaptation Using Excitement Detection from Eye Tracking. 214-223 - Ange Tato, Roger Nkambou, Ramla Ghali:
Towards Predicting Attention and Workload During Math Problem Solving. 224-229
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