Title | Intelligent Tutoring Systems [electronic resource] : 15th International Conference, ITS 2019, Kingston, Jamaica, June 3–7, 2019, Proceedings / edited by Andre Coy, Yugo Hayashi, Maiga Chang |
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Imprint | Cham : Springer International Publishing : Imprint: Springer, 2019 |
Edition | 1st ed. 2019 |
Connect to | https://doi.org/10.1007/978-3-030-22244-4 |
Descript | XV, 246 p. 80 illus., 42 illus. in color. online resource |
A Learning Early-warning Model Based on Knowledge Points -- Adaptive Learning Spaces with Context-Awareness -- Agents’ Cognitive vs. Socio-affective Support in Response to Learner’s Confusion -- An Adaptive Approach to Provide Feedback for Students in Programming Problem Solving -- Analysis and Prediction of Student Emotions While Doing Programming Exercises -- Analyzing Best Hints for a Programming IST -- Analyzing the Group Formation Process in Intelligent Tutoring Systems -- Analyzing the usage of the classical ITS software architecture and refining it -- Assessing Students’ Clinical Reasoning using Gaze and EEG Features -- Computer-Aided Intervention for Reading Comprehension Disabilities -- Conceptualization of IMS that Estimates Learners’ Mental States from Learners’ Physiological Information Using Deep Neural Network Algorithm -- Data-Driven Student Clusters Based on Online Learning Behavior in a Flipped Classroom with an Intelligent Tutoring System -- Decision Support for an Adversarial Game Environment using Automatic Hint Generation -- Detecting Collaborative Learning through Emotions: An Investigation using Facial Expression Recognition -- Fact Checking Misinformation Using Recommendations from Emotional Pedagogical Agents -- Intelligent On-line Exam Management and Evaluation System -- Learning by Arguing in Argument-Based Machine Learning Framework -- Model for data analysis process and its relationship to the hypothesis-driven and data-driven research approaches -- On the discovery of educational patterns using biclustering -- Parent-Child Interaction in Children's Learning How to Use a New Application -- Patterns of Collaboration Dialogue Acts in Typed-Chat Group Problem-Solving -- PKULAE: A Learning Attitude Evaluation Method Based on Learning Behavior -- Predicting MOOCs Dropout Using only two easily obtainable Features from the First Week’s Activities -- Predicting subjective enjoyment of aspects of a videogame from psychophysiological measures of arousal and valence -- Providing the Option to Skip Feedback – A Reproducibility Study -- Reducing Annotation Effort in Automatic Essay Evaluation Using Locality Sensitive Hashing -- Representing and Evaluating Strategies for Solving Parsons Puzzles -- Testing the Robustness of Inquiry Practices once Scaffolding is Removed -- Toward Real-Time System Adaptation using Excitement Detection from Eye Tracking -- Towards Predicting Attention And Workload During Math Problem Solving -- Using a Simulator to Choose the Best Hints in a Reinforcement Learning-Based Multimodal ITS