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Intelligent Tutoring Systems

Overview of attention for book
Cover of 'Intelligent Tutoring Systems'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Understanding Procedural Knowledge for Solving Arithmetic Task by Externalization
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    Chapter 2 Do Erroneous Examples Improve Learning in Addition to Problem Solving and Worked Examples?
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    Chapter 3 Automatic Question Generation: From NLU to NLG
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    Chapter 4 Using Eye-Tracking to Determine the Impact of Prior Knowledge on Self-Regulated Learning with an Adaptive Hypermedia-Learning Environment
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    Chapter 5 Informing Authoring Best Practices Through an Analysis of Pedagogical Content and Student Behavior
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    Chapter 6 Timing Game-Based Practice in a Reading Comprehension Strategy Tutor
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    Chapter 7 Evaluation of the Formal Models for the Socratic Method
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    Chapter 8 Stealth Assessment in ITS - A Study for Developmental Dyscalculia
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    Chapter 9 Mastery-Oriented Shared Student/System Control Over Problem Selection in a Linear Equation Tutor
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    Chapter 10 Providing the Option to Skip Feedback in a Worked Example Tutor
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    Chapter 11 Tell Me How to Teach, I’ll Learn How to Solve Problems
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    Chapter 12 Scale-Driven Automatic Hint Generation for Coding Style
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    Chapter 13 Estimating Individual Differences for Student Modeling in Intelligent Tutors from Reading and Pretest Data
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    Chapter 14 Building Pedagogical Models by Formal Concept Analysis
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    Chapter 15 Predicting Learning from Student Affective Response to Tutor Questions
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    Chapter 16 Integrating Real-Time Drawing and Writing Diagnostic Models: An Evidence-Centered Design Framework for Multimodal Science Assessment
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    Chapter 17 The Bright and Dark Sides of Gamification
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    Chapter 18 Behavior Changes Across Time and Between Populations in Open-Ended Learning Environments
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    Chapter 19 Are Pedagogical Agents’ External Regulation Effective in Fostering Learning with Intelligent Tutoring Systems?
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    Chapter 20 Intervention-BKT: Incorporating Instructional Interventions into Bayesian Knowledge Tracing
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    Chapter 21 “i-Read”: A Collaborative Learning Environment to Support Students with Low Reading Abilities
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    Chapter 22 Integrating Support for Collaboration in a Computer Science Intelligent Tutoring System
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    Chapter 23 Wheel-Spinning in a Game-Based Learning Environment for Physics
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    Chapter 24 Using Multi-level Modeling with Eye-Tracking Data to Predict Metacognitive Monitoring and Self-regulated Learning with Crystal Island
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    Chapter 25 The Mobile Fact and Concept Training System (MoFaCTS)
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    Chapter 26 Coordinating Knowledge Integration with Pedagogical Agents
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    Chapter 27 An Investigation of Conversational Agent Interventions Supporting Historical Reasoning in Primary Education
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    Chapter 28 Impact of Question Difficulty on Engagement and Learning
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    Chapter 29 Are There Benefits of Using Multiple Pedagogical Agents to Support and Foster Self-Regulated Learning in an Intelligent Tutoring System?
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    Chapter 30 Can Peers Rate Reliably as Experts in Small CSCL Groups?
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    Chapter 31 Peer Review in Mentorship: Perception of the Helpfulness of Review and Reciprocal Ratings
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    Chapter 32 Motivational Gamification Strategies Rooted in Self-Determination Theory for Social Adaptive E-Learning
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    Chapter 33 Adaptive Training of the Metacognitive Skill of Knowledge Monitoring in Intelligent Tutoring Systems
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    Chapter 34 Persuading an Open Learner Model in the Context of a University Course: An Exploratory Study
  36. Altmetric Badge
    Chapter 35 Blinded by Science?: Exploring Affective Meaning in Students’ Own Words
  37. Altmetric Badge
    Chapter 36 A Framework for Parameterized Design of Rule Systems Applied to Algebra
  38. Altmetric Badge
    Chapter 37 Cognitive Tutors Produce Adaptive Online Course: Inaugural Field Trial
  39. Altmetric Badge
    Chapter 38 Optimizing Pattern Weights with a Genetic Algorithm to Improve Automatic Working Memory Capacity Identification
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    Chapter 39 Stratified Learning for Reducing Training Set Size
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    Chapter 40 Combining Worked Examples and Problem Solving in a Data-Driven Logic Tutor
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    Chapter 41 NDLtutor: An Automated Conversational Agent to Facilitate Metacognitive Skills in Fully-Negotiated OLMs
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    Chapter 42 Concept Maps Similarity Measures for Educational Applications
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    Chapter 43 Can Adaptive Pedagogical Agents’ Prompting Strategies Improve Students’ Learning and Self-Regulation?
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    Chapter 44 Automatic Extraction of Prerequisites Among Learning Objects Using Wikipedia-Based Content Analysis
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    Chapter 45 Using Electroencephalogram to Track Learner’s Reasoning in Serious Games
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    Chapter 46 Behavior and Learning of Students Using Worked-Out Examples in a Tutoring System
  48. Altmetric Badge
    Chapter 47 The Frequency of Tutor Behaviors: A Case Study
  49. Altmetric Badge
    Chapter 48 Towards an Effective Affective Tutoring Agent in Specialized Education
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    Chapter 49 Embedding Intelligent Tutoring Systems in MOOCs and e-Learning Platforms
  51. Altmetric Badge
    Chapter 50 Using Cloze Procedure Questions in Worked Examples in a Programming Tutor
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    Chapter 51 The Effect of Friendship and Tutoring Roles on Reciprocal Peer Tutoring Strategies
  53. Altmetric Badge
    Chapter 52 CRISTAL: Adapting Workplace Training to the Real World Context with an Intelligent Simulator for Radiology Trainees
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#50 of 8,151)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
8 news outlets
blogs
1 blog
twitter
5 X users

Readers on

mendeley
104 Mendeley
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Title
Intelligent Tutoring Systems
Published by
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-319-39583-8
ISBNs
978-3-31-939582-1, 978-3-31-939583-8
Editors

Alessandro Micarelli, John Stamper, Kitty Panourgia

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 104 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 9%
Lecturer 6 6%
Researcher 5 5%
Student > Postgraduate 4 4%
Student > Ph. D. Student 4 4%
Other 10 10%
Unknown 66 63%
Readers by discipline Count As %
Computer Science 16 15%
Social Sciences 5 5%
Psychology 3 3%
Linguistics 2 2%
Mathematics 2 2%
Other 7 7%
Unknown 69 66%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 76. 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 16 February 2023.
All research outputs
#555,765
of 25,383,225 outputs
Outputs from Lecture notes in computer science
#50
of 8,151 outputs
Outputs of similar age
#9,605
of 404,175 outputs
Outputs of similar age from Lecture notes in computer science
#13
of 581 outputs
Altmetric has tracked 25,383,225 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,151 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 99% 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 404,175 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 97% of its contemporaries.
We're also able to compare this research output to 581 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 97% of its contemporaries.