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Artificial Intelligence in Education

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

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 An Adaptive Coach for Invention Activities
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    Chapter 2 Evaluating the Effect of Uncertainty Visualisation in Open Learner Models on Students’ Metacognitive Skills
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    Chapter 3 Collaboration Improves Student Interest in Online Tutoring
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    Chapter 4 Improving Sensor-Free Affect Detection Using Deep Learning
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    Chapter 5 ReaderBench Learns Dutch: Building a Comprehensive Automated Essay Scoring System for Dutch Language
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    Chapter 6 Keeping the Teacher in the Loop: Technologies for Monitoring Group Learning in Real-Time
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    Chapter 7 An Extensible Domain-Specific Language for Describing Problem-Solving Procedures
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    Chapter 8 Effects of Error-Based Simulation as a Counterexample for Correcting MIF Misconception
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    Chapter 9 Algorithm for Uniform Test Assembly Using a Maximum Clique Problem and Integer Programming
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    Chapter 10 Personalized Tag-Based Knowledge Diagnosis to Predict the Quality of Answers in a Community of Learners
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    Chapter 11 iSTART-ALL: Confronting Adult Low Literacy with Intelligent Tutoring for Reading Comprehension
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    Chapter 12 Adapting Step Granularity in Tutorial Dialogue Based on Pretest Scores
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    Chapter 13 The Impact of Student Individual Differences and Visual Attention to Pedagogical Agents During Learning with MetaTutor
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    Chapter 14 Automatic Extraction of AST Patterns for Debugging Student Programs
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    Chapter 15 Dusting Off the Messy Middle: Assessing Students’ Inquiry Skills Through Doing and Writing
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    Chapter 16 Impact of Pedagogical Agents’ Conversational Formality on Learning and Engagement
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    Chapter 17 iSTART Therefore I Understand: But Metacognitive Supports Did not Enhance Comprehension Gains
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    Chapter 18 Inducing Stealth Assessors from Game Interaction Data
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    Chapter 19 Supporting Constructive Video-Based Learning: Requirements Elicitation from Exploratory Studies
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    Chapter 20 Affect Dynamics in Military Trainees Using vMedic: From Engaged Concentration to Boredom to Confusion
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    Chapter 21 Behavioral Engagement Detection of Students in the Wild
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    Chapter 22 Improving Reading Comprehension with Automatically Generated Cloze Item Practice
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    Chapter 23 Variations of Gaming Behaviors Across Populations of Students and Across Learning Environments
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    Chapter 24 Identifying Productive Inquiry in Virtual Labs Using Sequence Mining
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    Chapter 25 “Thanks Alisha, Keep in Touch”: Gender Effects and Engagement with Virtual Learning Companions
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    Chapter 26 Hint Generation Under Uncertainty: The Effect of Hint Quality on Help-Seeking Behavior
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    Chapter 27 Balancing Learning and Engagement in Game-Based Learning Environments with Multi-objective Reinforcement Learning
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    Chapter 28 Is More Agency Better? The Impact of Student Agency on Game-Based Learning
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    Chapter 29 Can a Teachable Agent Influence How Students Respond to Competition in an Educational Game?
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    Chapter 30 Face Forward: Detecting Mind Wandering from Video During Narrative Film Comprehension
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    Chapter 31 Modeling the Incubation Effect Among Students Playing an Educational Game for Physics
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    Chapter 32 Predicting Learner’s Deductive Reasoning Skills Using a Bayesian Network
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    Chapter 33 Group Optimization to Maximize Peer Assessment Accuracy Using Item Response Theory
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    Chapter 34 What Matters in Concept Mapping? Maps Learners Create or How They Create Them
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    Chapter 35 Reliability Investigation of Automatic Assessment of Learner-Build Concept Map with Kit-Build Method by Comparing with Manual Methods
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    Chapter 36 Characterizing Students’ Learning Behaviors Using Unsupervised Learning Methods
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    Chapter 37 Student Preferences for Visualising Uncertainty in Open Learner Models
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    Chapter 38 Intelligent Augmented Reality Tutoring for Physical Tasks with Medical Professionals
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    Chapter 39 Synthesis of Problems for Shaded Area Geometry Reasoning
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    Chapter 40 Communication Strategies and Affective Backchannels for Conversational Agents to Enhance Learners’ Willingness to Communicate in a Second Language
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    Chapter 41 A Multi-layered Architecture for Analysis of Non-technical-Skills in Critical Situations
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    Chapter 42 Conceptual Framework for Collaborative Educational Resources Adaptation in Virtual Learning Environments
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    Chapter 43 Minimal Meaningful Propositions Alignment in Student Response Comparisons
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    Chapter 44 Does Adaptive Provision of Learning Activities Improve Learning in SQL-Tutor?
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    Chapter 45 Constraint-Based Modelling as a Tutoring Framework for Japanese Honorifics
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    Chapter 46 Teaching iSTART to Understand Spanish
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    Chapter 47 Data-Driven Generation of Rubric Parameters from an Educational Programming Environment
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    Chapter 48 Exploring Learner Model Differences Between Students
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    Chapter 49 Investigating the Effectiveness of Menu-Based Self-explanation Prompts in a Mobile Python Tutor
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    Chapter 50 Striking a Balance: User-Experience and Performance in Computerized Game-Based Assessment
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    Chapter 51 Interactive Score Reporting: An AutoTutor-Based System for Teachers
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    Chapter 52 Transforming Foreign Language Narratives into Interactive Reading Applications Designed for Comprehensibility and Interest
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    Chapter 53 Exploring Students’ Affective States During Learning with External Representations
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    Chapter 54 Enhancing an Intelligent Tutoring System to Support Student Collaboration: Effects on Learning and Behavior
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    Chapter 55 Assessing Question Quality Using NLP
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    Chapter 56 The Effect of Providing Motivational Support in Parsons Puzzle Tutors
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    Chapter 57 Assessing Student Answers to Balanced Tree Problems
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    Chapter 58 A Comparisons of BKT, RNN and LSTM for Learning Gain Prediction
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    Chapter 59 Uncovering Gender and Problem Difficulty Effects in Learning with an Educational Game
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    Chapter 60 Analyzing Learner Affect in a Scenario-Based Intelligent Tutoring System
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    Chapter 61 Proficiency and Preference Using Local Language with a Teachable Agent
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    Chapter 62 LiftUpp: Support to Develop Learner Performance
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    Chapter 63 StairStepper: An Adaptive Remedial iSTART Module
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    Chapter 64 AttentiveLearner2: A Multimodal Approach for Improving MOOC Learning on Mobile Devices
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    Chapter 65 Automated Analysis of Lecture Video Engagement Using Student Posts
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    Chapter 66 A Study of Learners’ Behaviors in Hands-On Learning Situations and Their Correlation with Academic Performance
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    Chapter 67 Assessing the Collaboration Quality in the Pair Program Tracing and Debugging Eye-Tracking Experiment
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    Chapter 68 EMBRACE: Applying Cognitive Tutor Principles to Reading Comprehension
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    Chapter 69 Effects of a Dashboard for an Intelligent Tutoring System on Teacher Knowledge, Lesson Plans and Class Sessions
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    Chapter 70 Dynamics of Affective States During MOOC Learning
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    Chapter 71 Learning from Errors: Identifying Strategies in a Math Tutoring System
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    Chapter 72 Can Short Answers to Open Response Questions Be Auto-Graded Without a Grading Rubric?
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    Chapter 73 Regional Cultural Differences in How Students Customize Their Avatars in Technology-Enhanced Learning
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    Chapter 74 Teaching Informal Logical Fallacy Identification with a Cognitive Tutor
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    Chapter 75 Digital Learning Projection
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    Chapter 76 Learning with Engaging Activities via a Mobile Python Tutor
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    Chapter 77 Math Reading Comprehension: Comparing Effectiveness of Various Conversation Frameworks in an ITS
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    Chapter 78 4C: Continuous Cognitive Career Companions
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    Chapter 79 Wizard’s Apprentice: Cognitive Suggestion Support for Wizard-of-Oz Question Answering
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    Chapter 80 Interaction Analysis in Online Maths Human Tutoring: The Case of Third Space Learning
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    Chapter 81 Using a Model for Learning and Memory to Simulate Learner Response in Spaced Practice
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    Chapter 82 Bridging the Gap Between High and Low Performing Pupils Through Performance Learning Online Analysis and Curricula
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    Chapter 83 Erratum to: Dusting Off the Messy Middle: Assessing Students’ Inquiry Skills Through Doing and Writing
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

2 news outlets
12 tweeters
1 Facebook page


5 Dimensions

Readers on

38 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Artificial Intelligence in Education
Published by
Lecture notes in computer science, January 2017
DOI 10.1007/978-3-319-61425-0
978-3-31-961424-3, 978-3-31-961425-0

Elisabeth André, Ryan Baker, Xiangen Hu, Ma. Mercedes T. Rodrigo, Benedict du Boulay

Twitter Demographics

The data shown below were collected from the profiles of 12 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 24%
Student > Master 9 24%
Student > Postgraduate 6 16%
Student > Bachelor 5 13%
Student > Doctoral Student 3 8%
Other 2 5%
Unknown 4 11%
Readers by discipline Count As %
Computer Science 14 37%
Social Sciences 4 11%
Psychology 4 11%
Engineering 3 8%
Arts and Humanities 3 8%
Other 5 13%
Unknown 5 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 28. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 September 2022.
All research outputs
of 22,121,923 outputs
Outputs from Lecture notes in computer science
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Outputs of similar age
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Outputs of similar age from Lecture notes in computer science
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Altmetric has tracked 22,121,923 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,099 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 97% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 285,224 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 158 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.