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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 The Intricate Dance between Cognition and Emotion during Expert Tutoring
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    Chapter 2 Subliminally Enhancing Self-esteem: Impact on Learner Performance and Affective State
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    Chapter 3 Detecting Learner Frustration: Towards Mainstream Use Cases
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    Chapter 4 Enhancing the Automatic Generation of Hints with Expert Seeding
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    Chapter 5 Learning What Works in ITS from Non-traditional Randomized Controlled Trial Data
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    Chapter 6 Persuasive Dialogues in an Intelligent Tutoring System for Medical Diagnosis
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    Chapter 7 Predicting Student Knowledge Level from Domain-Independent Function and Content Words
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    Chapter 8 KSC-PaL: A Peer Learning Agent
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    Chapter 9 Transforming a Linear Module into an Adaptive One: Tackling the Challenge
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    Chapter 10 An Authoring Tool to Support the Design and Use of Theory-Based Collaborative Learning Activities
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    Chapter 11 How to Build Bridges between Intelligent Tutoring System Subfields of Research
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    Chapter 12 Recognizing Dialogue Content in Student Collaborative Conversation
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    Chapter 13 Supporting Learners’ Self-organization: An Exploratory Study
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    Chapter 14 Exploring the Effectiveness of Social Capabilities and Goal Alignment in Computer Supported Collaborative Learning
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    Chapter 15 Virtual Humans with Secrets: Learning to Detect Verbal Cues to Deception
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    Chapter 16 Optimizing Story-Based Learning: An Investigation of Student Narrative Profiles
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    Chapter 17 Integrating Learning and Engagement in Narrative-Centered Learning Environments
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    Chapter 18 Collaborative Lecturing by Human and Computer Tutors
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    Chapter 19 Computational Workflows for Assessing Student Learning
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    Chapter 20 Predictors of Transfer of Experimental Design Skills in Elementary and Middle School Children
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    Chapter 21 Moodle Discussion Forum Analyzer Tool (DFAT)
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    Chapter 22 Peer-Based Intelligent Tutoring Systems: A Corpus-Oriented Approach
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    Chapter 23 Intelligent Tutoring Systems, Educational Data Mining, and the Design and Evaluation of Video Games
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    Chapter 24 An Intelligent Debater for Teaching Argumentation
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    Chapter 25 Multiple Interactive Representations for Fractions Learning
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    Chapter 26 An Interactive Educational Diagrammatic System for Assessing and Remediating the Graph-as-Picture Misconception
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    Chapter 27 Long Term Student Learner Modeling and Curriculum Mapping
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    Chapter 28 Student Dispositions and Help-Seeking in Collaborative Learning
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    Chapter 29 Visualizing Educational Data from Logic Tutors
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    Chapter 30 An Authoring Language as a Key to Usability in a Problem-Solving ITS Framework
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    Chapter 31 Towards the Creation of a Data-Driven Programming Tutor
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    Chapter 32 Using Expert Models to Provide Feedback on Clinical Reasoning Skills
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    Chapter 33 Algorithms for Robust Knowledge Extraction in Learning Environments
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    Chapter 34 Integrating Sophisticated Domain-Independent Pedagogical Behaviors in an ITS Framework
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    Chapter 35 Delivering Tutoring Feedback Using Persuasive Dialogues
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    Chapter 36 Coordinate Geometry Learning Environment with Game-Like Properties
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    Chapter 37 Long-Term Benefits of Direct Instruction with Reification for Learning the Control of Variables Strategy
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    Chapter 38 Can Affect Be Detected from Intelligent Tutoring System Interaction Data? – A Preliminary Study
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    Chapter 39 Comparing Disengaged Behavior within a Cognitive Tutor in the USA and Philippines
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    Chapter 40 Adaptive Tutorials for Virtual Microscopy: A Design Paradigm to Promote Pedagogical Ownership
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    Chapter 41 The Online Deteriorating Patient: An Adaptive Simulation to Foster Expertise in Emergency Decision-Making
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    Chapter 42 DynaLearn: Architecture and Approach for Investigating Conceptual System Knowledge Acquisition
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    Chapter 43 Interfaces for Inspectable Learner Models
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    Chapter 44 Conceptual Personalization Technology: Promoting Effective Self-directed, Online Learning
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    Chapter 45 Learning to Identify Students’ Relevant and Irrelevant Questions in a Micro-blogging Supported Classroom
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    Chapter 46 Using Emotional Coping Strategies in Intelligent Tutoring Systems
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    Chapter 47 Showing the Positive Influence of Subliminal Cues on Learner’s Performance and Intuition: An ERP Study
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    Chapter 48 Exploring the Relationship between Learner EEG Mental Engagement and Affect
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    Chapter 49 MiBoard: Creating a Virtual Environment from a Physical Environment
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    Chapter 50 Players’ Motivation and EEG Waves Patterns in a Serious Game Environment
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    Chapter 51 Predicting the Effects of Skill Model Changes on Student Progress
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    Chapter 52 Data Mining to Generate Individualised Feedback
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    Chapter 53 In the Zone: Towards Detecting Student Zoning Out Using Supervised Machine Learning
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    Chapter 54 Can We Get Better Assessment from a Tutoring System Compared to Traditional Paper Testing? Can We Have Our Cake (Better Assessment) and Eat It too (Student Learning during the Test)?
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    Chapter 55 Using Data Mining Findings to Aid Searching for Better Cognitive Models
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    Chapter 56 Generating Proactive Feedback to Help Students Stay on Track
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    Chapter 57 ITS in Ill-Defined Domains: Toward Hybrid Approaches
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    Chapter 58 Analyzing Student Gaming with Bayesian Networks
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    Chapter 59 EdiScenE: A System to Help the Design of Online Learning Activities
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    Chapter 60 Critiquing Media Reports with Flawed Scientific Findings: Operation ARIES! A Game with Animated Agents and Natural Language Trialogues
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    Chapter 61 A Case-Based Reasoning Approach to Provide Adaptive Feedback in Microworlds
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    Chapter 62 Real-Time Control of a Remote Virtual Tutor Using Minimal Pen-Gestures
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    Chapter 63 Theoretical Model for Interplay between Some Learning Situations and Brainwaves
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    Chapter 64 Cultural Adaptation of Pedagogical Resources within Intelligent Tutorial Systems
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    Chapter 65 An Interactive Learning Environment for Problem-Changing Exercise
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    Chapter 66 Towards Intelligent Tutoring with Erroneous Examples: A Taxonomy of Decimal Misconceptions
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    Chapter 67 The Efficacy of iSTART Extended Practice: Low Ability Students Catch Up
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    Chapter 68 Expecting the Unexpected: Warehousing and Analyzing Data from ITS Field Use
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    Chapter 69 Developing an Intelligent Tutoring System Using Natural Language for Knowledge Representation
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    Chapter 70 A Network Analysis of Student Groups in Threaded Discussions
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    Chapter 71 A New Framework of Metacognition with Abstraction/Instantiation Operations
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    Chapter 72 Expansion of the xPST Framework to Enable Non-programmers to Create Intelligent Tutoring Systems in 3D Game Environments
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    Chapter 73 A Computational Model of Accelerated Future Learning through Feature Recognition
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    Chapter 74 Automated and Flexible Comparison of Course Sequencing Algorithms in the LS-Lab Framework
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    Chapter 75 Correcting Scientific Knowledge in a General-Purpose Ontology
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    Chapter 76 Learning to Argue Using Computers – A View from Teachers, Researchers, and System Developers
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    Chapter 77 How to Take into Account Different Problem Solving Modalities for Doing a Diagnosis? Experiment and Results
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    Chapter 78 Behavior Effect of Hint Selection Penalties and Availability in an Intelligent Tutoring System
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    Chapter 79 DesignWebs: A Tool for Automatic Construction of Interactive Conceptual Maps from Document Collections
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    Chapter 80 Extraction of Concept Maps from Textbooks for Domain Modeling
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    Chapter 81 Levels of Interaction (LoI): A Model for Scaffolding Learner Engagement in an Immersive Environment
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    Chapter 82 Tools for Acquiring Data about Student Work in Interactive Learning Environment T-Algebra
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    Chapter 83 Mily’s World: A Coordinate Geometry Learning Environment with Game-Like Properties
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    Chapter 84 An Intelligent Tutoring System Supporting Metacognition and Sharing Learners’ Experiences
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    Chapter 85 Are ILEs Ready for the Classroom? Bringing Teachers into the Feedback Loop
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    Chapter 86 Comparison of a Computer-Based to Hands-On Lesson in Experimental Design
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    Chapter 87 Toward the Development of an Intelligent Tutoring System for Distributed Team Training through Passive Sensing
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    Chapter 88 Open Educational Resource Assessments (OPERA)
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    Chapter 89 Annie: A Tutor That Works in Digital Games
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    Chapter 90 Learning from Erroneous Examples
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    Chapter 91 Feasibility of a Socially Intelligent Tutor
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    Chapter 92 Agent Prompts: Scaffolding Students for Productive Reflection in an Intelligent Learning Environment
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    Chapter 93 Identifying Problem Localization in Peer-Review Feedback
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    Chapter 94 AlgoTutor: From Algorithm Design to Coding
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    Chapter 95 Adaptive, Assessment-Based Educational Games
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    Chapter 96 ITS Authoring through Programming-by-Demonstration
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    Chapter 97 A Coordinate Geometry Learning Environment with Game-Like Properties
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    Chapter 98 Intelligent Tutoring Systems
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    Chapter 99 DomainBuilder – An Authoring System for Visual Classification Tutoring Systems
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    Chapter 100 AWESOME Computing: Using Corpus Data to Tailor a Community Environment for Dissertation Writing
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    Chapter 101 Collaboration and Content Recognition Features in an Inquiry Tutor
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    Chapter 102 The Science Assistments Project: Scaffolding Scientific Inquiry Skills
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    Chapter 103 Incorporating Interactive Examples into the Cognitive Tutor
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    Chapter 104 iGeom: Towards an Interactive Geometry Software with Intelligent Guidance Capabilities
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    Chapter 105 Acquiring Conceptual Knowledge about How Systems Behave
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    Chapter 106 Learning by Teaching SimStudent
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    Chapter 107 Authoring Problem-Solving ITS with ASTUS
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    Chapter 108 A Better Reading Tutor That Listens
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    Chapter 109 Research-Based Improvements in Cognitive Tutor Geometry
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    Chapter 110 A Cognitive Tutor for Geometric Proof
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    Chapter 111 Multiplayer Language and Culture Training in ISLET
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    Chapter 112 PSLC DataShop: A Data Analysis Service for the Learning Science Community
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    Chapter 113 A DIY Pressure Sensitive Chair for Intelligent Tutoring Systems
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
25 Mendeley
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Title
Intelligent Tutoring Systems
Published by
ADS, June 2010
DOI 10.1007/978-3-642-13437-1
ISBNs
978-3-64-213436-4, 978-3-64-213437-1
Editors

Aleven, Vincent, Kay, Judy, Mostow, Jack

X Demographics

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Unknown 24 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 12%
Student > Master 3 12%
Lecturer 2 8%
Student > Doctoral Student 1 4%
Researcher 1 4%
Other 0 0%
Unknown 15 60%
Readers by discipline Count As %
Computer Science 4 16%
Psychology 2 8%
Linguistics 1 4%
Arts and Humanities 1 4%
Unknown 17 68%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 January 2024.
All research outputs
#7,280,449
of 25,223,158 outputs
Outputs from ADS
#7,971
of 37,429 outputs
Outputs of similar age
#32,789
of 102,946 outputs
Outputs of similar age from ADS
#108
of 389 outputs
Altmetric has tracked 25,223,158 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 37,429 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 77% 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 102,946 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 389 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.