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Artificial Intelligence in Education

Overview of attention for book
Cover of 'Artificial Intelligence in Education'

Table of Contents

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    Book Overview
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    Chapter 1 Machine-Generated Questions Attract Instructors When Acquainted with Learning Objectives
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    Chapter 2 SmartPhone: Exploring Keyword Mnemonic with Auto-generated Verbal and Visual Cues
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    Chapter 3 Implementing and Evaluating ASSISTments Online Math Homework Support At large Scale over Two Years: Findings and Lessons Learned
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    Chapter 4 The Development of Multivariable Causality Strategy: Instruction or Simulation First?
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    Chapter 5 Content Matters: A Computational Investigation into the Effectiveness of Retrieval Practice and Worked Examples
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    Chapter 6 Investigating the Utility of Self-explanation Through Translation Activities with a Code-Tracing Tutor
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    Chapter 7 Reducing the Cost: Cross-Prompt Pre-finetuning for Short Answer Scoring
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    Chapter 8 Go with the Flow: Personalized Task Sequencing Improves Online Language Learning
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    Chapter 9 Automated Hand-Raising Detection in Classroom Videos: A View-Invariant and Occlusion-Robust Machine Learning Approach
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    Chapter 10 Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets
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    Chapter 11 What and How You Explain Matters: Inquisitive Teachable Agent Scaffolds Knowledge-Building for Tutor Learning
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    Chapter 12 Help Seekers vs. Help Accepters: Understanding Student Engagement with a Mentor Agent
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    Chapter 13 Adoption of Artificial Intelligence in Schools: Unveiling Factors Influencing Teachers’ Engagement
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    Chapter 14 The Road Not Taken: Preempting Dropout in MOOCs
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    Chapter 15 Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification
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    Chapter 16 Can Virtual Agents Scale Up Mentoring?: Insights from College Students’ Experiences Using the CareerFair.ai Platform at an American Hispanic-Serving Institution
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    Chapter 17 Real-Time AI-Driven Assessment and Scaffolding that Improves Students’ Mathematical Modeling during Science Investigations
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    Chapter 18 Improving Automated Evaluation of Student Text Responses Using GPT-3.5 for Text Data Augmentation
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    Chapter 19 The Automated Model of Comprehension Version 3.0: Paying Attention to Context
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    Chapter 20 Analysing Verbal Communication in Embodied Team Learning Using Multimodal Data and Ordered Network Analysis
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    Chapter 21 Improving Adaptive Learning Models Using Prosodic Speech Features
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    Chapter 22 Neural Automated Essay Scoring Considering Logical Structure
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    Chapter 23 “Why My Essay Received a 4?”: A Natural Language Processing Based Argumentative Essay Structure Analysis
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    Chapter 24 Leveraging Deep Reinforcement Learning for Metacognitive Interventions Across Intelligent Tutoring Systems
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    Chapter 25 Enhancing Stealth Assessment in Collaborative Game-Based Learning with Multi-task Learning
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    Chapter 26 How Peers Communicate Without Words-An Exploratory Study of Hand Movements in Collaborative Learning Using Computer-Vision-Based Body Recognition Techniques
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    Chapter 27 Scalable Educational Question Generation with Pre-trained Language Models
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    Chapter 28 Involving Teachers in the Data-Driven Improvement of Intelligent Tutors: A Prototyping Study
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    Chapter 29 Reflexive Expressions: Towards the Analysis of Reflexive Capability from Reflective Text
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    Chapter 30 Algebra Error Classification with Large Language Models
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    Chapter 31 Exploration of Annotation Strategies for Automatic Short Answer Grading
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    Chapter 32 Impact of Learning a Subgoal-Directed Problem-Solving Strategy Within an Intelligent Logic Tutor
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    Chapter 33 Matching Exemplar as Next Sentence Prediction (MeNSP): Zero-Shot Prompt Learning for Automatic Scoring in Science Education
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    Chapter 34 Learning When to Defer to Humans for Short Answer Grading
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    Chapter 35 Contrastive Learning for Reading Behavior Embedding in E-book System
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    Chapter 36 Generalizable Automatic Short Answer Scoring via Prototypical Neural Network
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    Chapter 37 A Spatiotemporal Analysis of Teacher Practices in Supporting Student Learning and Engagement in an AI-Enabled Classroom
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    Chapter 38 Trustworthy Academic Risk Prediction with Explainable Boosting Machines
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    Chapter 39 Automatic Educational Question Generation with Difficulty Level Controls
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    Chapter 40 Getting the Wiggles Out: Movement Between Tasks Predicts Future Mind Wandering During Learning Activities
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    Chapter 41 Efficient Feedback and Partial Credit Grading for Proof Blocks Problems
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    Chapter 42 Dropout Prediction in a Web Environment Based on Universal Design for Learning
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    Chapter 43 Designing for Student Understanding of Learning Analytics Algorithms
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    Chapter 44 Feedback and Open Learner Models in Popular Commercial VR Games: A Systematic Review
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    Chapter 45 Gender Differences in Learning Game Preferences: Results Using a Multi-dimensional Gender Framework
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    Chapter 46 Can You Solve This on the First Try? – Understanding Exercise Field Performance in an Intelligent Tutoring System
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    Chapter 47 A Multi-theoretic Analysis of Collaborative Discourse: A Step Towards AI-Facilitated Student Collaborations
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    Chapter 48 Development and Experiment of Classroom Engagement Evaluation Mechanism During Real-Time Online Courses
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    Chapter 49 Physiological Synchrony and Arousal as Indicators of Stress and Learning Performance in Embodied Collaborative Learning
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    Chapter 50 Confusion, Conflict, Consensus: Modeling Dialogue Processes During Collaborative Learning with Hidden Markov Models
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    Chapter 51 Unsupervised Concept Tagging of Mathematical Questions from Student Explanations
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    Chapter 52 Robust Team Communication Analytics with Transformer-Based Dialogue Modeling
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    Chapter 53 Teacher Talk Moves in K12 Mathematics Lessons: Automatic Identification, Prediction Explanation, and Characteristic Exploration
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    Chapter 54 Ethical and Pedagogical Impacts of AI in Education
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    Chapter 55 Multi-dimensional Learner Profiling by Modeling Irregular Multivariate Time Series with Self-supervised Deep Learning
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    Chapter 56 Examining the Learning Benefits of Different Types of Prompted Self-explanation in a Decimal Learning Game
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    Chapter 57 Plug-and-Play EEG-Based Student Confusion Classification in Massive Online Open Courses
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    Chapter 58 CPSCoach: The Design and Implementation of Intelligent Collaborative Problem Solving Feedback
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    Chapter 59 Development of Virtual Reality SBIRT Skill Training with Conversational AI in Nursing Education
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    Chapter 60 Balancing Test Accuracy and Security in Computerized Adaptive Testing
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    Chapter 61 A Personalized Learning Path Recommendation Method for Learning Objects with Diverse Coverage Levels
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    Chapter 62 Prompt-Independent Automated Scoring of L2 Oral Fluency by Capturing Prompt Effects
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    Chapter 63 Navigating Wanderland: Highlighting Off-Task Discussions in Classrooms
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    Chapter 64 C $$^{2}$$ 2 Tutor: Helping People Learn to Avoid Present Bias During Decision Making
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    Chapter 65 A Machine-Learning Approach to Recognizing Teaching Beliefs in Narrative Stories of Outstanding Professors
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    Chapter 66 BETTER: An Automatic feedBack systEm for supporTing emoTional spEech tRaining
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    Chapter 67 Eliciting Proactive and Reactive Control During Use of an Interactive Learning Environment
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    Chapter 68 How to Repeat Hints: Improving AI-Driven Help in Open-Ended Learning Environments
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    Chapter 69 Automatic Detection of Collaborative States in Small Groups Using Multimodal Features
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    Chapter 70 Affective Dynamic Based Technique for Facial Emotion Recognition (FER) to Support Intelligent Tutors in Education
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    Chapter 71 Real-Time Hybrid Language Model for Virtual Patient Conversations
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    Chapter 72 Towards Enriched Controllability for Educational Question Generation
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    Chapter 73 A Computational Model for the ICAP Framework: Exploring Agent-Based Modeling as an AIED Methodology
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    Chapter 74 Automated Program Repair Using Generative Models for Code Infilling
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    Chapter 75 Measuring the Quality of Domain Models Extracted from Textbooks with Learning Curves Analysis
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    Chapter 76 Predicting Progress in a Large-Scale Online Programming Course
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    Chapter 77 Examining the Impact of Flipped Learning for Developing Young Job Seekers’ AI Literacy
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    Chapter 78 Automatic Analysis of Student Drawings in Chemistry Classes
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    Chapter 79 Training Language Models for Programming Feedback Using Automated Repair Tools
Attention for Chapter 74: Automated Program Repair Using Generative Models for Code Infilling
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Chapter title
Automated Program Repair Using Generative Models for Code Infilling
Chapter number 74
Book title
Artificial Intelligence in Education
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-36272-9_74
Book ISBNs
978-3-03-136271-2, 978-3-03-136272-9
Authors

Koutcheme, Charles, Sarsa, Sami, Leinonen, Juho, Hellas, Arto, Denny, Paul

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 50%
Unknown 4 50%
Readers by discipline Count As %
Computer Science 3 38%
Unknown 5 63%

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