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Intelligent Tutoring Systems

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Cover of 'Intelligent Tutoring Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Multi-sensual Augmented Reality in Interactive Accessible Math Tutoring System for Flipped Classroom
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    Chapter 2 Adaptive Learning to Support Reading Skills Development for All
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    Chapter 3 General ITS Software Architecture and Framework
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    Chapter 4 Let the End User in Peace: UX and Usability Aspects Related to the Design of Tutoring Systems
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    Chapter 5 Developing a Multimodal Affect Assessment for Aviation Training
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    Chapter 6 Scaling Mentoring Support with Distributed Artificial Intelligence
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    Chapter 7 Exploring Navigation Styles in a FutureLearn MOOC
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    Chapter 8 Changes of Affective States in Intelligent Tutoring System to Improve Feedbacks Through Low-Cost and Open Electroencephalogram and Facial Expression
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    Chapter 9 Computer-Aided Grouping of Students with Reading Disabilities for Effective Response-to-Intervention
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    Chapter 10 SHAPed Automated Essay Scoring: Explaining Writing Features’ Contributions to English Writing Organization
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    Chapter 11 Probabilistic Approaches to Detect Blocking States in Intelligent Tutoring System
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    Chapter 12 Avoiding Bias in Students’ Intrinsic Motivation Detection
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    Chapter 13 Innovative Robot for Educational Robotics and STEM
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    Chapter 14 Supporting Students by Integrating an Open Learner Model in a Peer Assessment Platform
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    Chapter 15 Explaining Traffic Situations – Architecture of a Virtual Driving Instructor
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    Chapter 16 MOOCOLAB - A Customized Collaboration Framework in Massive Open Online Courses
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    Chapter 17 Mixed Compensation Multidimensional Item Response Theory
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    Chapter 18 Data-Driven Analysis of Engagement in Gamified Learning Environments: A Methodology for Real-Time Measurement of MOOCs
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    Chapter 19 Intelligent Predictive Analytics for Identifying Students at Risk of Failure in Moodle Courses
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    Chapter 20 Prediction of Users’ Professional Profile in MOOCs Only by Utilising Learners’ Written Texts
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    Chapter 21 Cohesion Network Analysis: Predicting Course Grades and Generating Sociograms for a Romanian Moodle Course
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    Chapter 22 A Study on the Factors Influencing the Participation of Face-to-Face Discussion and Online Synchronous Discussion in Class
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    Chapter 23 Applying Genetic Algorithms for Recommending Adequate Competitors in Mobile Game-Based Learning Environments
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    Chapter 24 Dynamic Detection of Learning Modalities Using Fuzzy Logic in Students’ Interaction Activities
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    Chapter 25 Adaptive Music Therapy for Alzheimer’s Disease Using Virtual Reality
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    Chapter 26 Improving Cognitive and Emotional State Using 3D Virtual Reality Orientation Game
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    Chapter 27 A Multidimensional Deep Learner Model of Urgent Instructor Intervention Need in MOOC Forum Posts
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    Chapter 28 Should We Consider Efficiency and Constancy for Adaptation in Intelligent Tutoring Systems?
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    Chapter 29 An Interactive Recommender System Based on Reinforcement Learning for Improving Emotional Competences in Educational Groups
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    Chapter 30 Can We Use Gamification to Predict Students’ Performance? A Case Study Supported by an Online Judge
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    Chapter 31 AFFLOG: A Logic Based Affective Tutoring System
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    Chapter 32 Towards a Framework for Learning Systems in Smart Universities
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    Chapter 33 Interweaving Activities, Feedback and Learner Model in a Learner Centered Learning Environment
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    Chapter 34 Enriching Synchronous Collaboration in Online Courses with Configurable Conversational Agents
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    Chapter 35 Where the Competency-Based Assessment Meets the Semantic Learning Analytics
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    Chapter 36 Towards CSCL Scripting by Example
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    Chapter 37 Educators’ Validation on a Reflective Writing Framework (RWF) for Assessing Reflective Writing in Computer Science Education
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    Chapter 38 Validating the Reflective Writing Framework (RWF) for Assessing Reflective Writing in Computer Science Education Through Manual Annotation
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    Chapter 39 Recommender System for Quality Educational Resources
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    Chapter 40 Intelligent Tutoring Systems for Psychomotor Training – A Systematic Literature Review
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    Chapter 41 Employing Social Network Analysis to Enhance Community Learning
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    Chapter 42 Is MOOC Learning Different for Dropouts? A Visually-Driven, Multi-granularity Explanatory ML Approach
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    Chapter 43 Self-construction and Interactive Simulations to Support the Learning of Drawing Graphs and Reasoning in Mathematics
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    Chapter 44 WebApriori: A Web Application for Association Rules Mining
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    Chapter 45 Dialogue Act Pairs for Automated Analysis of Typed-Chat Group Problem-Solving
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    Chapter 46 Long Term Retention of Programming Concepts Learned Using a Software Tutor
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    Chapter 47 Towards a Template-Driven Approach to Documenting Teaching Practices
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    Chapter 48 A Knowledge Sharing System Architecture for Higher Education Institutions
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    Chapter 49 Reducing Cognitive Load for Anatomy Students with a Multimodal ITS Platform
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    Chapter 50 Learning Analytics in Big Data Era. Exploration, Validation and Predictive Models Development
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    Chapter 51 Learning Analytics Dashboard for Motivation and Performance
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    Chapter 52 Educational Driving Through Intelligent Traffic Simulation
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    Chapter 53 Quality Assurance in Higher Education: The Role of Students
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    Chapter 54 Evolutionary Learner Profile Optimization Using Rare and Negative Association Rules for Micro Open Learning
Attention for Chapter 51: Learning Analytics Dashboard for Motivation and Performance
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Chapter title
Learning Analytics Dashboard for Motivation and Performance
Chapter number 51
Book title
Intelligent Tutoring Systems
Published by
Springer, Cham, June 2020
DOI 10.1007/978-3-030-49663-0_51
Book ISBNs
978-3-03-049662-3, 978-3-03-049663-0
Authors

Damien S. Fleur, Wouter van den Bos, Bert Bredeweg

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