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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 19: Evaluating Machine Learning Approaches to Classify Pharmacy Students’ Reflective Statements
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Chapter title
Evaluating Machine Learning Approaches to Classify Pharmacy Students’ Reflective Statements
Chapter number 19
Book title
Artificial Intelligence in Education
Published by
Springer, Cham, June 2019
DOI 10.1007/978-3-030-23204-7_19
Book ISBNs
978-3-03-023203-0, 978-3-03-023204-7
Authors

Ming Liu, Simon Buckingham Shum, Efi Mantzourani, Cherie Lucas, Liu, Ming, Shum, Simon Buckingham, Mantzourani, Efi, Lucas, Cherie

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The data shown below were collected from the profile of 1 X user 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 18%
Lecturer 6 13%
Professor 4 9%
Researcher 3 7%
Other 3 7%
Other 4 9%
Unknown 17 38%
Readers by discipline Count As %
Computer Science 6 13%
Social Sciences 6 13%
Linguistics 2 4%
Psychology 2 4%
Business, Management and Accounting 1 2%
Other 8 18%
Unknown 20 44%

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