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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 Towards the Identification of Propaedeutic Relations in Textbooks
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    Chapter 2 Investigating Help-Giving Behavior in a Cross-Platform Learning Environment
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    Chapter 3 Predicting Academic Performance: A Bootstrapping Approach for Learning Dynamic Bayesian Networks
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    Chapter 4 The Impact of Student Model Updates on Contingent Scaffolding in a Natural-Language Tutoring System
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    Chapter 5 Item Ordering Biases in Educational Data
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    Chapter 6 A Comparative Study on Question-Worthy Sentence Selection Strategies for Educational Question Generation
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    Chapter 7 Effect of Discrete and Continuous Parameter Variation on Difficulty in Automatic Item Generation
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    Chapter 8 Automated Summarization Evaluation (ASE) Using Natural Language Processing Tools
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    Chapter 9 The Importance of Automated Real-Time Performance Feedback in Virtual Reality Temporal Bone Surgery Training
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    Chapter 10 Autonomy and Types of Informational Text Presentations in Game-Based Learning Environments
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    Chapter 11 Examining Gaze Behaviors and Metacognitive Judgments of Informational Text Within Game-Based Learning Environments
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    Chapter 12 Using “Idealized Peers” for Automated Evaluation of Student Understanding in an Introductory Psychology Course
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    Chapter 13 4D Affect Detection: Improving Frustration Detection in Game-Based Learning with Posture-Based Temporal Data Fusion
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    Chapter 14 Designing for Complementarity: Teacher and Student Needs for Orchestration Support in AI-Enhanced Classrooms
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    Chapter 15 The Case of Self-transitions in Affective Dynamics
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    Chapter 16 How Many Times Should a Pedagogical Agent Simulation Model Be Run?
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    Chapter 17 A Survey of the General Public’s Views on the Ethics of Using AI in Education
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    Chapter 18 Promoting Inclusivity Through Time-Dynamic Discourse Analysis in Digitally-Mediated Collaborative Learning
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    Chapter 19 Evaluating Machine Learning Approaches to Classify Pharmacy Students’ Reflective Statements
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    Chapter 20 Comfort with Robots Influences Rapport with a Social, Entraining Teachable Robot
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    Chapter 21 A Concept Map Based Assessment of Free Student Answers in Tutorial Dialogues
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    Chapter 22 Deep (Un)Learning: Using Neural Networks to Model Retention and Forgetting in an Adaptive Learning System
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    Chapter 23 Checking It Twice: Does Adding Spelling and Grammar Checkers Improve Essay Quality in an Automated Writing Tutor?
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    Chapter 24 What’s Most Broken? Design and Evaluation of a Tool to Guide Improvement of an Intelligent Tutor
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    Chapter 25 Reducing Mind-Wandering During Vicarious Learning from an Intelligent Tutoring System
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    Chapter 26 Annotated Examples and Parameterized Exercises: Analyzing Students’ Behavior Patterns
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    Chapter 27 Investigating the Effect of Adding Nudges to Increase Engagement in Active Video Watching
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    Chapter 28 Behavioural Cloning of Teachers for Automatic Homework Selection
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    Chapter 29 Integrating Students’ Behavioral Signals and Academic Profiles in Early Warning System
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    Chapter 30 Predicting Multi-document Comprehension: Cohesion Network Analysis
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    Chapter 31 Student Network Analysis: A Novel Way to Predict Delayed Graduation in Higher Education
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    Chapter 32 Automatic Generation of Problems and Explanations for an Intelligent Algebra Tutor
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    Chapter 33 Generalizability of Methods for Imputing Mathematical Skills Needed to Solve Problems from Texts
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    Chapter 34 Using Machine Learning to Overcome the Expert Blind Spot for Perceptual Fluency Trainings
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    Chapter 35 Disentangling Conceptual and Embodied Mechanisms for Learning with Virtual and Physical Representations
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    Chapter 36 Adaptive Support for Representation Skills in a Chemistry ITS Is More Effective Than Static Support
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    Chapter 37 Confrustion in Learning from Erroneous Examples: Does Type of Prompted Self-explanation Make a Difference?
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    Chapter 38 Modeling Collaboration in Online Conversations Using Time Series Analysis and Dialogism
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    Chapter 39 Improving Short Answer Grading Using Transformer-Based Pre-training
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    Chapter 40 Uniform Adaptive Testing Using Maximum Clique Algorithm
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    Chapter 41 Rater-Effect IRT Model Integrating Supervised LDA for Accurate Measurement of Essay Writing Ability
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    Chapter 42 Collaboration Detection that Preserves Privacy of Students’ Speech
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    Chapter 43 How Does Order of Gameplay Impact Learning and Enjoyment in a Digital Learning Game?
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    Chapter 44 Analyzing Students’ Design Solutions in an NGSS-Aligned Earth Sciences Curriculum
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    Chapter 45 Hierarchical Reinforcement Learning for Pedagogical Policy Induction
Attention for Chapter 5: Item Ordering Biases in Educational Data
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Chapter title
Item Ordering Biases in Educational Data
Chapter number 5
Book title
Artificial Intelligence in Education
Published by
Springer, Cham, June 2019
DOI 10.1007/978-3-030-23204-7_5
Book ISBNs
978-3-03-023203-0, 978-3-03-023204-7
Authors

Jaroslav Čechák, Radek Pelánek, Čechák, Jaroslav, Pelánek, Radek

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 11%
Student > Bachelor 1 11%
Student > Master 1 11%
Unknown 6 67%
Readers by discipline Count As %
Computer Science 1 11%
Psychology 1 11%
Unknown 7 78%

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