ITS B

28 papers

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