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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 35: Where the Competency-Based Assessment Meets the Semantic Learning Analytics
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Chapter title
Where the Competency-Based Assessment Meets the Semantic Learning Analytics
Chapter number 35
Book title
Intelligent Tutoring Systems
Published by
Springer, Cham, June 2020
DOI 10.1007/978-3-030-49663-0_35
Book ISBNs
978-3-03-049662-3, 978-3-03-049663-0
Authors

Khaled Halimi, Hassina Seridi-Bouchelaghem, Halimi, Khaled, Seridi-Bouchelaghem, Hassina

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 25%
Lecturer 2 17%
Unspecified 1 8%
Student > Doctoral Student 1 8%
Student > Master 1 8%
Other 0 0%
Unknown 4 33%
Readers by discipline Count As %
Engineering 2 17%
Computer Science 2 17%
Arts and Humanities 1 8%
Unspecified 1 8%
Medicine and Dentistry 1 8%
Other 1 8%
Unknown 4 33%