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Artificial Intelligence in Education

Overview of attention for book
Artificial Intelligence in Education
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Modelling Learners in Crowdsourcing Educational Systems
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    Chapter 2 Interactive Pedagogical Agents for Learning Sequence Diagrams
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    Chapter 3 A Socratic Tutor for Source Code Comprehension
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    Chapter 4 Scientific Modeling Using Large Scale Knowledge
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    Chapter 5 Examining Students’ Intrinsic Cognitive Load During Program Comprehension – An Eye Tracking Approach
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    Chapter 6 Sequence-to-Sequence Models for Automated Text Simplification
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    Chapter 7 The Potential for the Use of Deep Neural Networks in e-Learning Student Evaluation with New Data Augmentation Method
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    Chapter 8 Investigating Transformers for Automatic Short Answer Grading
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    Chapter 9 Predicting Learners Need for Recommendation Using Dynamic Graph-Based Knowledge Tracing
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    Chapter 10 BERT and Prerequisite Based Ontology for Predicting Learner’s Confusion in MOOCs Discussion Forums
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    Chapter 11 Identification of Students’ Need Deficiency Through a Dialogue System
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    Chapter 12 The Double-Edged Sword of Automating Personalized Interventions in Makerspaces: An Exploratory Study of Potential Benefits and Drawbacks
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    Chapter 13 EdNet: A Large-Scale Hierarchical Dataset in Education
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    Chapter 14 Exploring Automatic Short Answer Grading as a Tool to Assist in Human Rating
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    Chapter 15 Multi-document Cohesion Network Analysis: Visualizing Intratextual and Intertextual Links
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    Chapter 16 Mastery Learning Heuristics and Their Hidden Models
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    Chapter 17 Towards Practical Detection of Unproductive Struggle
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    Chapter 18 What Happens When Gamification Ends?
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    Chapter 19 Using Eye-Tracking and Click-Stream Data to Design Adaptive Training of Children’s Inhibitory Control in a Maths and Science Game
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    Chapter 20 Prediction of Group Learning Results from an Aggregation of Individual Understanding with Kit-Build Concept Map
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    Chapter 21 Automatic Classification for Cognitive Engagement in Online Discussion Forums: Text Mining and Machine Learning Approach
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    Chapter 22 Explaining Errors in Predictions of At-Risk Students in Distance Learning Education
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    Chapter 23 A General Multi-method Approach to Design-Loop Adaptivity in Intelligent Tutoring Systems
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    Chapter 24 Towards Improving Sample Representativeness of Teachers on Online Social Media: A Case Study on Pinterest
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    Chapter 25 A Framework for Exploring the Impact of Tutor Practices on Learner Self-regulation in Online Environments
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    Chapter 26 Automated Personalized Feedback Improves Learning Gains in An Intelligent Tutoring System
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    Chapter 27 Allowing Revisions While Providing Error-Flagging Support: Is More Better?
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    Chapter 28 Learner-Context Modelling: A Bayesian Approach
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    Chapter 29 Distinguishing Anxiety Subtypes of English Language Learners Towards Augmented Emotional Clarity
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    Chapter 30 Siamese Neural Networks for Class Activity Detection
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    Chapter 31 Deep-Cross-Attention Recommendation Model for Knowledge Sharing Micro Learning Service
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    Chapter 32 Investigating the Role of Politeness in Human-Human Online Tutoring
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    Chapter 33 Raising Academic Performance in Socio-cognitive Conflict Learning Through Gamification
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    Chapter 34 Towards Interpretable Deep Learning Models for Knowledge Tracing
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    Chapter 35 Early Prediction of Success in MOOC from Video Interaction Features
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    Chapter 36 Predicting Reading Comprehension from Constructed Responses: Explanatory Retrievals as Stealth Assessment
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    Chapter 37 An Approach to Model Children’s Inhibition During Early Literacy and Numeracy Acquisition
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    Chapter 38 Confrustion and Gaming While Learning with Erroneous Examples in a Decimals Game
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    Chapter 39 Learning Outcomes and Their Relatedness Under Curriculum Drift
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    Chapter 40 Promoting Learning and Satisfaction of Children When Interacting with an Emotional Companion to Program
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    Chapter 41 Automatic Grading System Using Sentence-BERT Network
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    Chapter 42 Extended Multi-document Cohesion Network Analysis Centered on Comprehension Prediction
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    Chapter 43 Supporting Empathy Training Through Virtual Patients
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    Chapter 44 Generating Game Levels to Develop Computer Science Competencies in Game-Based Learning Environments
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    Chapter 45 An Evaluation of Data-Driven Programming Hints in a Classroom Setting
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    Chapter 46 Deep Knowledge Tracing with Transformers
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    Chapter 47 Relationships Between Body Postures and Collaborative Learning States in an Augmented Reality Study
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    Chapter 48 Effect of Immediate Feedback on Math Achievement at the High School Level
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    Chapter 49 Automated Prediction of Novice Programmer Performance Using Programming Trajectories
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    Chapter 50 Agent-in-the-Loop: Conversational Agent Support in Service of Reflection for Learning During Collaborative Programming
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    Chapter 51 Toward an Automatic Speech Classifier for the Teacher
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    Chapter 52 Constructing Automated Revision Graphs: A Novel Visualization Technique to Study Student Writing
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    Chapter 53 When Lying, Hiding and Deceiving Promotes Learning - A Case for Augmented Intelligence with Augmented Ethics
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    Chapter 54 Understanding Collaborative Question Posing During Computational Modeling in Science
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    Chapter 55 Machine Learning and Student Performance in Teams
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    Chapter 56 Scanpath Analysis of Student Attention During Problem Solving with Worked Examples
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    Chapter 57 Helping Teachers Assist Their Students in Gamified Adaptive Educational Systems: Towards a Gamification Analytics Tool
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    Chapter 58 Understanding Rapport over Multiple Sessions with a Social, Teachable Robot
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    Chapter 59 Exercise Hierarchical Feature Enhanced Knowledge Tracing
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    Chapter 60 Relationships Between Math Performance and Human Judgments of Motivational Constructs in an Online Math Tutoring System
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    Chapter 61 Automated Short-Answer Grading Using Deep Neural Networks and Item Response Theory
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    Chapter 62 Automatic Dialogic Instruction Detection for K-12 Online One-on-One Classes
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    Chapter 63 Exploring the Role of Perspective Taking in Educational Child-Robot Interaction
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    Chapter 64 Evaluating Student Learning in a Synchronous, Collaborative Programming Environment Through Log-Based Analysis of Projects
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    Chapter 65 Adaptive Forgetting Curves for Spaced Repetition Language Learning
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    Chapter 66 Learning from Interpretable Analysis: Attention-Based Knowledge Tracing
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    Chapter 67 Identifying Beneficial Learning Behaviors from Large-Scale Interaction Data
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    Chapter 68 A Gamified Solution to the Cold-Start Problem of Intelligent Tutoring System
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    Chapter 69 Bridging Over from Learning Videos to Learning Resources Through Automatic Keyword Extraction
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    Chapter 70 A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM
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    Chapter 71 Contingent Scaffolding for System Safety Analysis
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    Chapter 72 The Exploration of Feeling of Difficulty Using Eye-Tracking and Skin Conductance Response
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    Chapter 73 Sense of Agency in Times of Automation: A Teachers’ Professional Development Proposal on the Ethical Challenges of AI Applied to Education
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    Chapter 74 Improving Students’ Problem-Solving Flexibility in Non-routine Mathematics
Attention for Chapter 35: Early Prediction of Success in MOOC from Video Interaction Features
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Chapter title
Early Prediction of Success in MOOC from Video Interaction Features
Chapter number 35
Book title
Artificial Intelligence in Education
Published by
Springer, Cham, June 2020
DOI 10.1007/978-3-030-52240-7_35
Book ISBNs
978-3-03-052239-1, 978-3-03-052240-7
Authors

Boniface Mbouzao, Michel C. Desmarais, Ian Shrier

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Librarian 1 20%
Student > Ph. D. Student 1 20%
Lecturer > Senior Lecturer 1 20%
Unknown 2 40%
Readers by discipline Count As %
Nursing and Health Professions 1 20%
Business, Management and Accounting 1 20%
Computer Science 1 20%
Unknown 2 40%