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Artificial Intelligence in Education

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Cover of 'Artificial Intelligence in Education'

Table of Contents

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    Book Overview
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    Chapter 1 Making Sense of Student Success and Risk Through Unsupervised Machine Learning and Interactive Storytelling
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    Chapter 2 Strategies for Deploying Unreliable AI Graders in High-Transparency High-Stakes Exams
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    Chapter 3 AI Enabled Tutor for Accessible Training
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    Chapter 4 Introducing a Framework to Assess Newly Created Questions with Natural Language Processing
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    Chapter 5 Detecting Off-Task Behavior from Student Dialogue in Game-Based Collaborative Learning
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    Chapter 6 Automated Analysis of Middle School Students’ Written Reflections During Game-Based Learning
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    Chapter 7 Can Ontologies Support the Gamification of Scripted Collaborative Learning Sessions?
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    Chapter 8 Predicting Gaps in Usage in a Phone-Based Literacy Intervention System
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    Chapter 9 MACER: A Modular Framework for Accelerated Compilation Error Repair
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    Chapter 10 Using Motion Sensors to Understand Collaborative Interactions in Digital Fabrication Labs
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    Chapter 11 Student Dropout Prediction
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    Chapter 12 Real-Time Multimodal Feedback with the CPR Tutor
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    Chapter 13 Impact of Methodological Choices on the Evaluation of Student Models
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    Chapter 14 Investigating Visitor Engagement in Interactive Science Museum Exhibits with Multimodal Bayesian Hierarchical Models
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    Chapter 15 Fooling Automatic Short Answer Grading Systems
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    Chapter 16 Using Neural Tensor Networks for Open Ended Short Answer Assessment
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    Chapter 17 The Sound of Inattention: Predicting Mind Wandering with Automatically Derived Features of Instructor Speech
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    Chapter 18 To Tailor or Not to Tailor Gamification? An Analysis of the Impact of Tailored Game Elements on Learners’ Behaviours and Motivation
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    Chapter 19 Improving Affect Detection in Game-Based Learning with Multimodal Data Fusion
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    Chapter 20 A Conceptual Framework for Human–AI Hybrid Adaptivity in Education
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    Chapter 21 Exploring How Gender and Enjoyment Impact Learning in a Digital Learning Game
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    Chapter 22 Neural Multi-task Learning for Teacher Question Detection in Online Classrooms
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    Chapter 23 A Data-Driven Student Model to Provide Adaptive Support During Video Watching Across MOOCs
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    Chapter 24 Transfer of Automated Performance Feedback Models to Different Specimens in Virtual Reality Temporal Bone Surgery
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    Chapter 25 Use of Adaptive Feedback in an App for English Language Spontaneous Speech
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    Chapter 26 Impact of Conversational Formality on the Quality and Formality of Written Summaries
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    Chapter 27 LIWCs the Same, Not the Same: Gendered Linguistic Signals of Performance and Experience in Online STEM Courses
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    Chapter 28 SoundHunters: Increasing Learner Phonological Awareness in Plains Cree
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    Chapter 29 Moodoo: Indoor Positioning Analytics for Characterising Classroom Teaching
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    Chapter 30 DETECT: A Hierarchical Clustering Algorithm for Behavioural Trends in Temporal Educational Data
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    Chapter 31 Effect of Non-mandatory Use of an Intelligent Tutoring System on Students’ Learning
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    Chapter 32 Evaluating Crowdsourcing and Topic Modeling in Generating Knowledge Components from Explanations
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    Chapter 33 Modeling the Relationships Between Basic and Achievement Emotions in Computer-Based Learning Environments
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    Chapter 34 Analysis of Task Difficulty Sequences in a Simulation-Based POE Environment
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    Chapter 35 Affective Sequences and Student Actions Within Reasoning Mind
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    Chapter 36 Helping Teachers Help Their Students: A Human-AI Hybrid Approach
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    Chapter 37 Comprehensive Views of Math Learners: A Case for Modeling and Supporting Non-math Factors in Adaptive Math Software
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    Chapter 38 Exploring the Impact of Simple Explanations and Agency on Batch Deep Reinforcement Learning Induced Pedagogical Policies
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    Chapter 39 Recommending Insightful Drill-Downs Based on Learning Processes for Learning Analytics Dashboards
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    Chapter 40 Using Thinkalouds to Understand Rule Learning and Cognitive Control Mechanisms Within an Intelligent Tutoring System
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    Chapter 41 Remember the Facts? Investigating Answer-Aware Neural Question Generation for Text Comprehension
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    Chapter 42 Raising Teachers Empowerment in Gamification Design of Adaptive Learning Systems: A Qualitative Research
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    Chapter 43 Far from Success – Far from Feedback Acceptance? The Influence of Game Performance on Young Students’ Willingness to Accept Critical Constructive Feedback During Play
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    Chapter 44 Robust Neural Automated Essay Scoring Using Item Response Theory
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    Chapter 45 Supporting Teacher Assessment in Chinese Language Learning Using Textual and Tonal Features
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    Chapter 46 Early Detection of Wheel-Spinning in ASSISTments
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    Chapter 47 Investigating Differential Error Types Between Human and Simulated Learners
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    Chapter 48 Studying the Interactions Between Science, Engineering, and Computational Thinking in a Learning-by-Modeling Environment
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    Chapter 49 Exploring Automated Question Answering Methods for Teaching Assistance
Attention for Chapter 45: Supporting Teacher Assessment in Chinese Language Learning Using Textual and Tonal Features
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Citations

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Chapter title
Supporting Teacher Assessment in Chinese Language Learning Using Textual and Tonal Features
Chapter number 45
Book title
Artificial Intelligence in Education
Published by
Springer, Cham, June 2020
DOI 10.1007/978-3-030-52237-7_45
Book ISBNs
978-3-03-052236-0, 978-3-03-052237-7
Authors

Ashvini Varatharaj, Anthony F. Botelho, Xiwen Lu, Neil T. Heffernan, Varatharaj, Ashvini, Botelho, Anthony F., Lu, Xiwen, Heffernan, Neil T.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 19%
Researcher 3 14%
Professor > Associate Professor 2 10%
Student > Master 1 5%
Unspecified 1 5%
Other 2 10%
Unknown 8 38%
Readers by discipline Count As %
Computer Science 6 29%
Psychology 2 10%
Social Sciences 2 10%
Linguistics 1 5%
Unspecified 1 5%
Other 1 5%
Unknown 8 38%