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Intelligent Tutoring Systems 15th International Conference, ITS 2019, Kingston, Jamaica, June 3–7, 2019, Proceedings
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.
ISBN
9783030222444
Publication
Cham : Springer International Publishing : Imprint: Springer, 2019.
Physical Description
1 online resource (XV, 246 p.) 80 illus., 42 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
This book constitutes the proceedings of the 15th International Conference on Intelligent Tutoring Systems, ITS 2019, held in Kingston, Jamaica, in June 2019. The 14 full papers and 13 short papers presented in this volume were carefully reviewed and selected from 42 submissions. In the back matter of the volume 4 poster papers are included. They deal with the use of advanced computer technologies and interdisciplinary research for enabling, supporting, and enhancing human learning.
Variant and related titles
Springer ENIN.
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Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
June 05, 2019
Series
Programming and Software Engineering ; 11528
Contents
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.
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