Intelligent Tutoring Systems : 15th International Conference, ITS 2019, Kingston, Jamaica, June 3-7, 2019, Proceedings / edited by Andre Coy, Yugo Hayashi, Maiga Chang.

Format:

Book

Contributor:

Coy, André, editor.

Hayashi, Yugo, editor.

Chang, Maiga, 1974- editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Programming and software engineering ; SL 2, 11528.

Programming and Software Engineering ; 11528

Language:

English

Subjects (All):

Education--Data processing.

Education.

Application software.

Data mining.

User interfaces (Computer systems).

Artificial intelligence.

Optical data processing.

Computers and Education.

Computer Appl. in Social and Behavioral Sciences.

Data Mining and Knowledge Discovery.

User Interfaces and Human Computer Interaction.

Artificial Intelligence.

Image Processing and Computer Vision.

Local Subjects:

Computers and Education.

Computer Appl. in Social and Behavioral Sciences.

Data Mining and Knowledge Discovery.

User Interfaces and Human Computer Interaction.

Artificial Intelligence.

Image Processing and Computer Vision.

Physical Description:

1 online resource (XV, 246 pages) : 80 illustrations, 42 illustrations in color.

Edition:

First edition 2019.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2019.

System Details:

text file PDF

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.

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.

Other Format:

Printed edition:

ISBN:

978-3-030-22244-4

9783030222444

Access Restriction:

Restricted for use by site license.