Intelligent Tutoring Systems

Name: Intelligent Tutoring Systems | 11th International Conference, ITS 2012, Chania, Crete, Greece, June 14-18, 2012. Proceedings
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11th International Conference, ITS 2012, Chania, Crete, Greece, June 14-18, 2012. Proceedings

Stefano A. Cerri William J. Clancey Giorgos Papadourakis Kitty-Kiriaki Panourgia(Herausgeber*in)

Springer (Verlag)

Erschienen am 30. Mai 2012

XXXIV, 726 Seiten

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Title
Preface
Committees
Table of Contents
Affect: Emotions
Implicit Strategies for Intelligent Tutoring Systems
Introduction
Previous Work
Implicit Strategies for Intelligent Tutoring Systems
Affective Priming
Cognitive Priming
Discussion
Conclusion
References
Rudeness and Rapport: Insults and Learning Gains in Peer Tutoring
Introduction
Study
Data Annotation
Results
Surface-Level Language Features and Role Differences (RQ1 )
Conversational Strategies and Social Functions (RQ1)
Learning Gains, Language Features, and Social Functions (RQ2)
Relationships: Friends and Strangers (RQ3)
Discussion and Conclusions
References
On Pedagogical Effects of Learner-Support Agents in Collaborative Interaction
Introduction
Related Work and Relevant Questions
Collaborative Problem Solving
Pedagogical Conversational Agents as Learning Advisers
Method
Experimental Task and Procedure
Experimental System
Participants and Conditions
Results
Experiment 1
Experiment 2
Discussion
H1: Effects of the Presence of a Conversational Agent
H2: Effects of the Affective Expressions of the Conversational Agent
Conclusion and Future Work
References
Exploration of Affect Detection Using Semantic Cues in Virtual Improvisation
Introduction
Related Work
Semantic Interpretation of Interaction Contexts
Evaluation and Conclusion
References
Measuring Learners' Co-Occurring Emotional Responses during Their Interaction with a Pedagogical Agent in MetaTutor
Co-Occurring Emotions during Learning with ITSs
Methods
Participants
MetaTutor and Apparatus
Data Analysis
Results
What Proportion of All Emotions that Learners' Embodied during the Sub Goal Setting Task Are COEs vs. SDEs?
Which Pairs of COEs Are Most Prominent?
Discussion, Conclusions and Future Directions
References
Visualization of Student Activity Patterns within Intelligent Tutoring Systems
Introduction
The Tutor and the Student Data
Methodology
Results
Discussion and Future Work
References
Toward a Machine Learning Framework for Understanding Affective Tutorial Interaction
Introduction
Related Work
Dialogue Corpus and Facial Expression Annotation
Hidden Markov Modeling and Discussion
Conclusion and Future Work
References
Exploring Relationships between Learners' Affective States, Metacognitive Processes, and Learning Outcomes
Introduction
Method
Participants
Stimuli and Software
Materials and Procedure
Predictions, Results, and Discussion
Predicted Links between Affect, Metacognition, and Performance
Results
Discussion
References
Mental Workload, Engagement and Emotions: An Exploratory Study for Intelligent Tutoring Systems
Introduction
Previous Work
Methodology
Subjective Reporting of Emotional State
EEG Recording
Computing the Engagement Index
Computing the Workload Index
Results and Discussions
Conclusion
References
Affect: Signals
Real-Time Monitoring of ECG and GSR Signals during Computer-Based Training
Introduction
Methodology
Results
Discussion and Future Work
References
Categorical vs. Dimensional Representations in Multimodal Affect Detection during Learning
Introduction
Experiment and Data Collection
Computational Framework in Matlab
Results and Discussions
Conclusion
References
Cognitive Priming: Assessing the Use of Non-conscious Perception to Enhance Learner's Reasoning Ability
Introduction
Cognitive Priming
Related Work
Empirical Studies Conducted
Conclusion
References
Games: Motivation and Design
Math Learning Environment with Game-Like Elements: An Incremental Approach for Enhancing Student Engagement and Learning Effectiveness
Introduction
Theoretical Framework
Methodology
Results
Future Work and Conclusions
References
Motivational Factors for Learning by Teaching: The Effect of a Competitive Game Show in a Virtual peer-Learning Environment
Introduction
APLUS with SimStudent and Competitive Game Show
Overview of SimStudent
Overview of APLUS
Competitive Game Show
Evaluation Study
Participants
Methods
Measures
Results
Test Scores
Tutoring Engagement and Motivation
Game Show Participation
Discussion
Conclusion
References
An Analysis of Attention to Student - Adaptive Hints in an Educational Game
Introduction
Related Work
The Prime Climb Game
User Study on Attention to Hints
Factors Affecting Attention to Hints: Results
Factors That Affect Attention to Hints Measured by Total Fixation Time
Factors That Affect Attention to Hints Measured by Fixations/Word
Factors That Affect Attention: Discussion
Effect of Attention to Hints on Game Playing
Conclusions and Future Work
References
Serious Game and Students' Learning Motivation: Effect of Context Using Prog&Play
Introduction
Background and Related Work
Evaluation
Usage Settings and Participants
Materials
Results and Analysis
Conclusion
References
Exploring the Effects of Prior Video-Game Experience on Learner's Motivation during Interactions with HeapMotiv
Introduction
Prior Video-Game Experience and Learner's Motivation
Experiment
Experimental Results
Conclusion and Future Work
References
A Design Pattern Library for Mutual Understanding and Cooperation in Serious Game Design
Introduction
Previous Work and Methodology
Our DP Collaborative Library
Pattern: Reified Knowledge4
The Content of Our Design Pattern Library
Fieldwork and Discussion
Conclusion and Future Avenues of Research
References
Games: Empirical Studies
Predicting Student Self-regulation Strategies in Game-Based Learning Environments
Introduction
Related Work
Method
Results
Analyzing Self-Regulation Behaviors
Predicting Self-Regulation Behaviors
Discussion
References
Toward Automatic Verification of Multiagent Systems for Training Simulations
Introduction
PsychSim and UrbanSim
Evaluation of Pedagogy
Study Population
Experiment Manipulation and Procedure
Measures
Results
Simulation-Based Verification of Pedagogy
Markov Chain Monte Carlo Simulation
Sampling Distribution
Simulation Paths
Discussion
References
Using State Transition Networks to Analyze Multi-party Conversations in a Serious Game
Introduction
Speech Act Classification and State Transition Networks
Hypotheses
Methods
Results
Conclusion and Future Work
References
How to Evaluate Competencies in Game-Based Learning Systems Automatically?
Introduction
Assessment in Game-Based Learning Systems
Automatic Monitoring and Game Action Analysis System
Diagnostic Indicators
Combining an Expert Petri Net and a Game Action and Domain Ontology
Game Actions Labeling Algorithm
Case Study
The Game
The Experiment
Discussion et Perspectives
Conclusion
References
Content Representation: Empirical Studies
Sense Making Alone Doesn't Do It: Fluency Matters Too! ITS Support for Robust Learning with Multiple Representations
Introduction
Methods
Fractions Tutor
Test Instruments
Experimental Design and Procedure
Results
Effects of Connection-Making Support
Learning Effects
Discussion and Conclusion
References
Problem Order Implications for Learning Transfer
Introduction
A Brief Review of SimStudent
Problem Order Study
Methods
Blocked vs. Interleaved Problem Orders
Results
Implications for Instructional Design
Related Work
Concluding Remarks
References
Knowledge Component Suggestion for Untagged Content in an Intelligent Tutoring System
Introduction
Related Work
The ASSISTments Platform
Data
Approaches
Text Mining Approach with SVM Classifier
Search Engine and KNN Approach
Results
Discussion
References
Feedback: Empirical Studies
Automating Next-Step Hints Generation Using ASTUS
Introduction
ASTUS
Hint Generation
Experiments
Discussion
Conclusion
References
The Effectiveness of Pedagogical Agents' Prompting and Feedback in Facilitating Co-adapted Learning with MetaTutor
Objectives and Theoretical Framework
Method
Participants
Materials and MetaTutor
Instructional Conditions
Experimental Procedure
Results
Discussion
Current and Future Directions
References
Noticing Relevant Feedback Improves Learning in an Intelligent Tutoring System for Peer Tutoring
Introduction
The Adaptive Peer Tutoring Assistant
Method
Results
Discussion and Conclusions
References
ITS in Special Domains
Multi-paradigm Generation of Tutoring Feedback in Robotic Arm Manipulation Training
Introduction
CanadarmTutor
Integrating a Path-Planner for Automatic Path Generation
Integrating a Cognitive Model to Assess Skills and Spatial Reasoning
Using Data Mining Techniques to Learn Partial Task Models
Combining the Three Paradigms
Experimental Evaluation
Conclusion
References
User-Centered Design of a Teachable Robot
Introduction
Background
Speed Dating Method
Analysis of User Needs
Design Directions
References
An Intelligent Tutoring and Interactive Simulation Environment for Physics Learning
Introduction
ViPS Architecture
Evaluation of ViPS
Conclusion
References
Guru: A Computer Tutor That Models Expert Human Tutors
Introduction
Brief Description of Guru
Method
Results
General Discussion
References
Developing an Embodied Pedagogical Agent with and for Young People with Autism Spectrum Disorder
Introduction
EPA Development Kit (EPA DK)
EPA Design and Development Process
Study Aims
Design Teams
Procedure
Results
Idea Generation and Mixing of Individual Ideas
Big Idea
EPA DK
Discussion
Conclusion and Future Work
References
Non Conventional Approaches
WEBsistments: Enabling an Intelligent Tutoring System to Excel at Explaining Rather Than Coaching
Introduction
Methodology
Results
Overall Trend from Web Pages
Modeling Effects of Web Pages
Contributions, Future Work, and Conclusions
References
Automated Approaches for Detecting Integration in Student Essays
Introduction
Document Classification Algorithms
Latent Semantic Analysis
Support Vector Machines
Multi-Word
Methodology
Data
Metrics
LSA
SVM
Multiword
Results and Discussion
References
On the WEIRD Nature of ITS/AIED ConferencesA 10 Year Longitudinal Study Analyzing Potential Cultural Biases
Introduction
WEIRD Dominance on Psychology and Implications for ITS
A Ten Year Analysis of Full Papers in ITS/AIED Conferences
Discussion and Conclusion
References
Content Representation: Conceptual
Goal-Oriented Conceptualization of Procedural Knowledge
Introduction
Goal-Oriented Rules
Goal-Oriented Rule Learning Algorithm
Evaluation
Conclusions
References
Context-Dependent Help for Novices Acquiring Conceptual Systems Knowledge in DynaLearn
Introduction
Principles for Basic Help
Implementation of the Basic Help
Model Building Task Support (How To?)
Causal Explanations (Why?)
Concluding Remarks
References
Towards an Ontology-Based System to Improve Usability in Collaborative Learning Environments
Introduction
SystemProposal
Domain Ontology
Controller Agent and Validation Agent
Questionnaire
Rules and Validation Process
Case Study
Conclusion and Future Work
References
Program Representation for Automatic Hint Generation for a Data-Driven Novice Programming Tutor
Introduction
Linkage Graphs to Represent Data Flow and Dependencies
Hint Generation for Work-in-Progress Programs
Effectiveness of Linkage Graph for Hint Generation
References
Assessment: Constraints
Exploring Quality of Constraints for Assessment in Problem Solving Environments
Introduction
Related Work
Using IRT to Study Quality of Constraints for Assessment
Tools Used in the Experiment
Project Investment Problem Solving Environment
CBM-Engine Assessment Component
Experimentation
Design and Implementation of the Experiment
Results
Conclusions
References
Can Soft Computing Techniques Enhance the Error Diagnosis Accuracy for Intelligent Tutors?
Introduction
Soft Computing for Constraint Satisfaction Problems
Weighted Constraint-Based Models
Evaluation
Design
Results
Possible Limitations
Conclusion
References
Dialogue: Conceptual
Identification and Classification of the Most Important Moments from Students' Collaborative Discourses
Introduction
Theoretical Ideas
The Application
The Identification and Classification of the Most Important Moments from a Chat
Pivotal Moments
Convergence Moments
Singular Moments
Divergence Moments
Meeting Points
Conclusions
References
When Less Is More: Focused Pruning of Knowledge Bases to Improve Recognition of Student Conversation
Cognitive Support for Collaborative Inquiry Systems
Related Work
Rashi: An Inquiry Learning System with Collaborative Features
Research Design
Results and Conclusion
References
Coordinating Multi-dimensional Support in Collaborative Conversational Agents
Introduction
Collaborative Scripting and Support
Coordinated Multi-dimensional Support
The Bazaar Architecture
Events and Components
Output Coordinator: Prioritizing Proposed Actions
Case Studies in Multi-dimensional Support
Conclusions and Future Work
References
Textual Complexity and Discourse Structure in Computer-Supported Collaborative Learning
Introduction
Theoretical Considerations
The Implemented Model
Conclusions and Future Research Directions
References
Dialogue: Questions
Using Information Extraction to Generate Trigger Questions for Academic Writing Support
Introduction
Related Work
Linguistic Patterns Generation
Interpreting Kind-of Patterns
Interpreting Different-to Patterns
Interpreting Similar-to Relation
Automatic Question Generation Process
Evaluation
Participants and Procedure
Relation Extraction Performance
Evaluation of Computer Generated and Generic question
Evaluation of Questions Generated from Different Relation Types
Directive versus Facilitative Questions
Conclusion and Future Work
References
Learning to Tutor Like a Tutor: RankingQuestions in Context
Introduction
Corpus
Tutorial Setting and Transcripts
Dialogue Annotation
Question Authoring
Ratings Collection
Automatic Question Ranking
Conclusions and Future Work
References
Learner Modeling
Analysis of a Simple Model of Problem Solving Times
Introduction
Modeling Problem Solving Times
The Setting and Simple Models
Model Inspired by Item Response Theory
Models Inspired by Collaborative Filtering
Group Invariance
Application and Evaluation
Problem Solving Tutor
Analysis of Parameter Values
Evaluation of Predictions
Extended Models
Conclusions
References
Modelling and Optimizing the Process of Learning Mathematics
Introduction
Training Environment
Selection of Actions
Student Model
Controller
Methods and Results
Logfile Analyses
Training Effects
Conclusion
References
The Student Skill Model
Introduction
The Student Skill Model
Model Evaluation
Simulation Experiments
Real Data Experiments
Discussion and Future Work
Contribution
References
Clustered Knowledge Tracing
Introduction
Clustered Knowledge Tracing
Clustering Algorithms Used and Strategy for Bootstrapping
Empirical Validation
Dataset Description
Results of the Bagging Strategy to Knowledge Tracing
Discussion and Future Work
References
Preferred Features of Open Learner Models for University Students
Introduction
Open Learner Models
Previous Findings from Open Learner Model Use
User Preferences for Open Learner Models
Participants, Materials and Methods
Results
Discussion and Recommendations
Summary
References
Do Your Eyes Give It Away? Using Eye TrackingData to Understand Students' Attitudes towardsOpen Student Model Representations
Introduction
Design and Methodology
Results and Discussion
References
Fuzzy Logic Representation for Student Modelling
Introduction
Related Previous Work
The Proposed Student Model
Knowledge Component (KC) Diagnosis
Error Rate Prediction
Results
Conclusions and Perspectives
References
Learning Detection
Content Learning Analysis Using the Moment-by-Moment Learning Detector
Introduction
Data
Detecting Learning Using Moment-by-Moment Learning Model
Development of P(J) Model
Overall Comparison of Problem Effectiveness
Case Study of Individual Problems and Their Tutoring
Case study of Proportion-2's Best and Worst Problems
Case study of Range, Best and Worst Problems
Discussion
References
Towards Automatically Detecting Whether Student Learning Is Shallow
Introduction
Data Set
Shallowness Detector
Label Generation
Data Features
Detector Development
Results
Discussion and Conclusions
References
Item to Skills Mapping: Deriving a Conjunctive Q-matrix from Data
Introduction
Comparison with a One Skill Per Item Condition
Non-negative Matrix Factorization
SimulatedData
Simulation Methodology
Results
Conclusion
References
Interaction Strategies: Games
The Role of Sub-problems: Supporting Problem Solving in Narrative-Centered Learning Environments
Introduction
Current Investigation
Results
Conclusions
References
Exploring Inquiry-Based Problem-Solving Strategies in Game-Based Learning Environments
Introduction
CRYSTAL ISLAND Learning Environment
Procedure
Results
Hypothesis 1 - More Effective Problem Solving
Hypothesis 2 - Better Learning Gains
Discussion
References
Real-Time Narrative-Centered Tutorial Planning for Story-Based Learning
Introduction
CRYSTAL ISLAND Story-Based Learning Environment
Integrated Real-Time Model
Empirical Study
Study Method
Results
Conclusion
References
Interaction Strategies: Empirical Studies
An Interactive Teacher's Dashboard for Monitoring Groups in a Multi-tabletop Learning Environment
Introduction and Related Work
The Tabletop-Based Learning Environment: Concept Mapping
The Interactive Teacher's Dashboard
The Class Level: Accumulated Summaries of Each Group Activity
The Detailed Group Level: Detailed Timeline Summaries for a Specific Group
Evaluation
Results and Discussion
Conclusions and Further Work
References
Efficient Cross-Domain Learning of Complex Skills
Introduction
A Brief Review of SimStudent
A Brief Description of Integrating Deep Feature Learning into SimStudent
Experimental Study
Concluding Remarks
References
Exploring Two Strategies for Teaching Procedures
Introduction
Data Normalization
Two Versions of NORMIT
Evaluation Study
Conclusions
References
Relating Student Performance to Action Outcomes and Context in a Choice-Rich Learning Environment
Introduction
Method
Results
Discussion and Conclusion
References
Using the MetaHistoReasoning Tool Training Module to Facilitate the Acquisition of Domain-Specific Metacognitive Strategies
Introduction
Methods
Participants
Computer-Based Learning Environment
Measures
Procedure
Coding and Scoring
Results
Discussion
References
An Indicator-Based Approach to Promote the Effectiveness of Teachers' Interventions
Introduction
An Indicator-Based Approach
Categories of Indicators
Meta-indicators and Interventions
Hop3x: An Implementation of the Indicator-Based Approach
Experimentations Description
Experimental Outcomes and Discussion
Contribution of Meta-indicators to Teachers' Activities
Contribution of Meta-indicators to Learners' Activities
Conclusion and Outlook
References
Limiting the Number of Revisions while Providing Error-Flagging Support during Tests
Introduction and Experiment
Results
References
Dialogue: Empirical Studies
Towards Academically Productive Talk Supported by Conversational Agents
Introduction
Academically Productive Talk
An Agent to Facilitate Academically Productive Talk
Agent Support for Academically Productive Talk
Analysis
Reasoning in Conversations
Effect on Full-Class Discussion Participation
Learning Gains
Process Analysis of Linguistic Style
Discussion and Implications for Redesign
Conclusion
References
Automatic Evaluation of Learner Self-Explanations and Erroneous Responses for Dialogue-Based ITSs
Introduction
Method
Participants
Learning Sessions
Procedure
Self-Explanation Coding
Semantic Matching
Results and Discussion
Content, Context, and Combined Models
Word-Based Models
Conclusion
References
Group Composition and Intelligent Dialogue Tutorsfor Impacting Students' Academic Self-efficacy
Introduction
Prior Work
Method
Results
Conclusions
References
How Do They Do It? Investigating Dialogue Moves within Dialogue Modes in Expert Human Tutoring
Introduction
Expert Tutoring Corpus
Results and Discussion
Dialogue Moves Predicting Dialogue Modes
Discriminating Between Dialogue Modes
Conclusion
References
Building a Conversational SimStudent
Introduction
System Building
Interaction with SimStudent
Coding Scheme
Exploring the Data
Discussion
References
Predicting Learner's Project Performance with Dialogue Features in Online Q&A Discussions
Introduction
Methods
Participants
Procedures
Discussion Analysis Variables
Speech Act Classifier
Results
Correlation Analysis
Multiple Stepwise Regression Analysis
Summary and Future Work
References
Young Researchers Track
Interventions to Regulate Confusion during Learning
Introduction
Previous Research
Future Research Plans
References
Using Examples in Intelligent Tutoring Systems
Introduction
Future Work
References
Semi-Supervised Classification of Realtime Physiological Sensor Datastreams for Student Affect Assessment in Intelligent Tutoring
Background, Research, and Direction
References.
Detection of Cognitive Strategies in Reading Comprehension Tasks
Introduction
The Experiment
Results
Conclusions
References
The Effects of Adaptive Sequencing Algorithms on Player Engagement within an Online Game
Introduction
Adaptive Sequences
Experiment 1: Structure, Participants and Metrics
Discussion
References
A Canonicalizing Model for Building Programming Tutors
Introduction
Model Creation
Hint Generation and Future Work
References
Developmentally Appropriate Intelligent Spatial Tutoring for Mobile Devices
Motivation and Related Works
Initial Research Plan
Conclusion
References
Leveraging Game Design to Promote Effective User Behavior of Intelligent Tutoring Systems
Introduction
Method
Gamification
Study Design
Conclusion
References
Design of a Knowledge Base to Teach Programming
Introduction
Knowledge Base
Discussion and Related Work
References
Towards an ITS for Improving Social Problem Solving Skills of ADHD Children
Introduction
Method
References
A Scenario Based Analysis of E-Collaboration Environments
Problem Position
E-Collaboration Analysis
Observing Results
Discussion
References
Supporting Students in the Analysis of Case Studies for Ill-Defined Domains
References
Using Individualized Feedback and Guided Instruction via a Virtual Human Agent in an Introductory Computer Programming Course
Introduction
Background
Proposed Study
Future Work
References
Data-Driven Method for Assessing Skill-Opportunity Recognition in Open Procedural Problem Solving Environments
Introduction
Interaction Network
Methods
Example Case: The Deep thought Tutor
References
Posters
How Do Learners Regulate Their Emotions?
Introduction
Method and Results
Discussion
References
A Model-Building Learning Environment with Explanatory Feedback to Erroneous Models
Introduction
The Method
References
An Automatic Comparison between Knowledge Diagnostic Techniques
Approaches
Application of Some Criteria
References
The Interaction Behavior of Agents' Emotional Support and Competency on Learner Outcomes and Perceptions
Introduction and Methodology
Results and Conclusions
References
Accuracy of Tracking Student's Natural Language inOperation ARIES!, A Serious Game for Scientific Methods
Introduction
Analyses
References
Designing the Knowledge Base for a PHP Tutor
Introduction
Knowledge Base Design
Discussion and Related Work
References
Domain Specific Knowledge Representation for an Intelligent Tutoring System to Teach Algebraic Reasoning
References
Exploring the Potential of Tabletops for Collaborative Learning
Introduction and Research Issues
Application Design to Support a Brainstorming Activity
Evaluation and Conclusion
References
Modeling the Affective States of Students Using SQL-Tutor
Methods
Results and Discussion
Conclusion
References
A Cross-Cultural Comparison of Effective Help-Seeking Behavior among Students Using an ITS for Math
References
Emotions during Writing on Topics That Align or Misalign with Personal Beliefs
Introduction
Methods
Results and Discussion
References
A Multiagent-Based ITS Using MultipleViewpoints for Propositional Logic
Introduction
An Overview of the Proposed System
FinalRemarks
References
Simulation-Based Training of Ill-Defined Social Domains: The Complex Environment Assessment and Tutoring System (CEATS)
References
Empirical Investigation on Self Fading as Adaptive Behavior of Hint Seeking
Introduction
Learning System and Task
Experimental Results
References
Scripting Discussions for Elaborative, Critical Interactions
Introduction
Learning Environment and Collaboration Script
Study
References
Design Requirements of a Virtual Learning Environment for Resource Sharing
Introduction
Experiments
Conclusions
Reference
The Effectiveness of a Pedagogical Agent's Immediate Feedback on Learners' Metacognitive Judgments during Learning with MetaTutor
Reference
Supporting Students in the Analysis of Case Studies for Professional Ethics Education
Reference
Evaluating the Automatic Extraction of Learning Objects from Electronic Textbooks Using ErauzOnt
Introduction
Experiment
References
A Cognition-Based Game Platform and its Authoring Environment for Learning Chinese Characters
References
Effects of Text and Visual Element Integration Schemes on Online Reading Behaviors of Typical and Struggling Readers
Introduction
Methods
Results
Conclusion
Fadable Scaffolding with Cognitive Tool
Introduction
Learning Skill Development with Cognitive Tool
Conclusion
References
Mediating Intelligence through Observation, Dependencyand Agency in Making Construals of Malaria
Introduction
Construals of Malaria
Conclusion
References
Supporting Social Deliberative Skills in Online Classroom Dialogues: Preliminary Results Using Automated Text Analysis
References
Using Time Pressure to Promote Mathematical Fluency
Introduction
Game Frameworks
Evaluation
Participants and Method
Results and Discussion
References
nteroperability for ITS: An Ontology of Learning Style Models
References
Skill Diaries: Can Periodic Self-assessment Improve Students' Learning with an Intelligent Tutoring System?
References
An Optimal Assessment of Natural Language Student Input Using Word-to-Word Similarity Metrics
Background and Results
References
Facilitating Co-adaptation of Technology and Education through the Creation of an Open-Source Repository of Interoperable Code
Introduction
Conclusion
References
A Low-Cost Scalable Solution for Monitoring Affective State of Students in E-learning Environment Using Mouse and Keystroke Data
References
Impact of an Adaptive Tutorial on Student Learning
Purpose of Study
Participants
Adaptive Tutorial
Data Collection and Instruments
Results
References
Technology Enhanced Learning Program That Makes Thinking the Outside to Train Meta-cognitive Skill through Knowledge Co-creation Discussion
Introduction
Knowledge Co-creation Workshop Using Sizhi in the Lecture Course
Concluding Remarks
References
Open Student Models to Enhance Blended-Learning
Interactions in Student Model for Feedback
Evaluation and Conclusions
References
ZooQuest: A Mobile Game-Based Learning Application for Fifth Graders
Introduction
Method
Results
Conclusion
References
Drawing-Based Modeling for Early Science Education
References
An OWL Ontology for IEEE-LOM and OBAA Metadata
The OBAA Metadata Ontology
References
Classifying Topics of Video Lecture Contents Using Speech Recognition Technology
Topic Classification Based on Speech Recognition
Experiment and Discussion
Summary
References
An Agent-Based Infrastructure for the Support of Learning Objects Life-Cycle
The MILOS Infrastructure
References
Cluster Based Feedback Provision Strategies in Intelligent Tutoring Systems
Introduction
Clustered Solution Spaces: Feedback Strategies
Validating and Discussing the Approach: a Case Study
References
Web Comic Strip Creator for Educational Comics with Assessable Learning Objectives
Introduction
System Description
Conclusions
References
Layered Architecture for Online Lab-works: Experimentation in the Computer Science Education
Introduction
A Layered Architecture to Actively Manage Remote Experiments
Conclusion
References
A Serious Game for Teaching Conflict Resolution to Children
Introduction
Emergent Conflicts out of Emotional Agents
References
Towards Social Mobile Blended Learning
Introduction
References
Learning Looping: From Natural Language to Worked Examples
Introduction
Methods
Results
References
A Basic Model of Metacognition: A Repository to Trigger Reflection
Introduction
Experiment
Conclusions
Reference
Analyzing Affective Constructs: Emotions 'n Attitudes
Introduction
Results
References
Interactive Virtual Representations, Fractions, and Formative Feedback
Introduction
Results and Discussion
References
An Intelligent System to Support Accurate Transcription of University Lectures
Introduction
A Pragmatic Approach to Accurate Transcription
Experiments
References
Multi-context Recommendation in Technology Enhanced Learning
Multi-Context Recommendation Process
Experiment and Results
References
Author Index

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