Intelligent Tutoring Systems

Name: Intelligent Tutoring Systems | 18th International Conference, ITS 2022, Bucharest, Romania, June 29 - July 1, 2022, Proceedings
Brand: Springer
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18th International Conference, ITS 2022, Bucharest, Romania, June 29 - July 1, 2022, Proceedings

Scott Crossley Elvira Popescu(Editor)

Springer (Publisher)

Published on 24. June 2022

XVI, 382 pages

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978-3-031-09680-8 (ISBN)

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Content

Intro
Preface
Organization
Contents
Tools and Methods for Learning Sciences and Practices
Comparative Evaluation of EduClust and Its Transfer to a Virtual Reality Environment
1 Introduction
2 Background
3 Evaluation
3.1 Experiment Design
3.2 Hypotheses
3.3 Results
3.4 Discussion
4 VRClust
5 Conclusion
References
Function Execution Log Based Judgment System for Arduino Learning Practice
1 Introduction
2 Related Works
3 Function Execution Log Based Judgment System
3.1 System Overview
3.2 Fritzing Based HW Configuration
3.3 Function Execution Log
4 Judge Method
4.1 HW Check Condition
4.2 Test Case Description
5 Judge Experiment
6 Conclusion
References
A Hybrid Approach for Mitigating Learners' Rogue Review Behavior in Peer Assessment
1 Introduction
2 Related Work
3 A Mechanism for Mitigating Rogue Review Behavior
3.1 Student Perspective
3.2 Teacher Perspective
4 Rogue Reviews Analysis: Pilot Study
4.1 Context of Study
4.2 Results Analysis
5 Discussion and Conclusion
References
DeepCode: An Annotated Set of Instructional Code Examples to Foster Deep Code Comprehension and Learning
1 Introduction
2 Related Work
3 A Working Example
4 The DeepCode Annotation Guidelines
5 Discussion and Conclusions
References
Cross-Cutting Support of Making and Explaining Decisions in Intelligent Tutoring Systems Using Cognitive Maps of Knowledge Diagnosis
1 Introduction and Related Works
2 Method
3 Case Study
4 Results and Discussion
5 Conclusion
References
Covering Possible Reasoning Errors for Intelligent Tutoring Systems: Order of Expression Evaluation Case
1 Introduction and Related Work
2 Method of Identifying Possible Errors
3 Case Study: Order of Expression Evaluation
4 Evaluation
5 Conclusion
References
Handshape Recognition in an Educational Game for Finger Alphabet Practicing
1 Introduction
2 Related Works
3 Method Description
3.1 Determining Hand Skeletons
3.2 Pompeiu-Hausdorff Distance
3.3 Optimization Problem Definition
4 Method Evaluation
4.1 Datasets Used
4.2 Parameter Settings
4.3 Results
4.4 Discussion
5 Educational Game
6 Conclusions and Future Work
References
Comparing Alternative Approaches to Debriefing in a Tool to Support Peer-Led Simulation-Based Training
1 Project Goals
2 MedDbriefer
3 Two Approaches to Automated Debriefings
References
Ontological Reference Model for Piloting Procedures
1 Introduction
2 Task Execution Model: Issues and Related Work
3 Structure of the Reference Model
4 Results
4.1 The Task Ontology
4.2 The Domain Ontology
5 Conclusion
References
Towards Adaptive Coaching in Piloting Tasks: Learning Pilots' Behavioral Profiles from Flight Data
1 Introduction
2 Related Work
3 Methodology
4 Experiment 1: General Clustering
4.1 Findings
5 Experiment 2: Clustering According to Flight Segments
5.1 Results
6 Conclusion and Future Work
References
LORD: A Moodle Plug-in Helps to Find the Relations Among Learning Objects
1 Introduction
2 Research Background
2.1 Behaviour Analytics Moodle Plug-in
2.2 Semantic Similarity
3 Similarity Calculation
4 Learning Object Relation Discovery Moodle Plug-in
5 Conclusion and Future Works
References
Deep Knowledge Tracing on Skills with Small Datasets
1 Introduction
2 Brief Review of the Deep Knowledge Tracing
3 Penalization of Loss Function
4 Combining a Bayesian Network with the DKT
5 Experiments
5.1 Logic Muse
5.2 Dataset
5.3 Results
6 Conclusion
References
Algorithms for Prediction, Recommendation and Classification in Learning Systems
A Learning Analytics Approach to Build Learner Profiles Within the Educational Game OMEGA+
1 Introduction
2 OMEGA+
3 Learning Analytics Approach
3.1 Data Retrieval
3.2 Data Preparation
3.3 Algorithm
3.4 Visualization and Analysis
4 Validation
5 Conclusions
References
Design and Evaluation of a Competency-Based Recommendation Process
1 Introduction
2 Project and Motivation
3 Competency-Based Personalization
4 Personalized Recommendation of Resources
4.1 Strategy ComPer - A Strategy Independent of Level and Subject
4.2 Recommendation Process
5 Experiment in Shell Programming
5.1 Experimental Settings
5.2 Collected Data
5.3 Analysis Performed on the Collected Data
6 Results and Discussion
7 Conclusion and Future Works
References
A Classification Approach to Recognize On-Task Student's Behavior for Context Aware Recommendations
1 Introduction
2 Related Works
3 Proposed Solution
3.1 Description of the student's Behaviour: The Mode of Reasoning and the Degree of Activity
3.2 Learning Steps
3.3 Classification and Evaluation
4 Conclusion and Perspectives
References
Automated Classification of Argumentative Components in Students' Essays
1 Introduction
2 Background
2.1 Argument Annotation
2.2 Classification of Argumentative Components
3 Method
3.1 Data
3.2 Annotation
3.3 Selected Text Features for Classification
3.4 Experimental Setup
4 Results
4.1 Model Evaluation
4.2 Feature Importance
5 Discussion
5.1 Classification Performance
5.2 Implications for Generating Feedback for Students' Argumentative Writing
6 Conclusion
References
Evaluating the Effect of Imperfect Data in Voice Emotion Recognition
1 Introduction
2 Methodology
2.1 Datasets
2.2 Feature Sets
2.3 Classifiers
3 Results and Discussion
3.1 Considering TESS, RAVDESS and SAVEE Datasets
3.2 Considering TESS, RAVDESS, SAVEE and Part of the Custom Dataset
4 Conclusion and Future Work
References
Application of 3D Human Pose Estimation for Behavioral Reproduction
1 Introduction
2 Related Work
3 Our Approach
3.1 3D Keypoints Estimation
3.2 Behavior Reconstruction
3.3 Applications in Learning
4 Experiments
5 Results
6 Conclusion
References
Evaluation Test Generation Model Using Degrees of Difficulty and Keywords
1 Introduction
2 Initial Conditions
3 Algorithm Description
3.1 Terms Used and Definitions
3.2 Generating Initial Population
3.3 Fitness Function
3.4 Mutation
3.5 Crossover
3.6 Algorithm Workflow
4 Conclusion and Results
References
Double-Layer Controller for Detecting Learners' Erroneous Knowledge in Database Programming
1 Introduction
2 Double-Layer Controller Architecture
2.1 Syntax Error Control Operator
2.2 Logical Error Control Operator
3 Evaluation Results and Discussion
4 Conclusions
References
Identifying Metacognitive Processes Using Trace Data in an Open-Ended Problem-Solving Learning Environment
1 Introduction
2 OELE Context: MEttLE
3 Literature Synthesis
4 Research Methodology
4.1 Study Design
4.2 Data Analysis
4.3 Methodology
5 Results and Discussion
5.1 Multiclass Classification of Phase-Level Data
5.2 One-Vs-All Classification of Phase-Level Data
5.3 One-Vs-All Classification of Phase-Level Data After Upsampling
5.4 One-Vs-All Classification of Process-Level Data After Upsampling
6 Conclusion
References
Intervention Prediction in MOOCs Based on Learners' Comments: A Temporal Multi-input Approach Using Deep Learning and Transformer Models
1 Introduction
2 Related Work
3 Methodology
3.1 Dataset
3.2 Intervention Model
4 Results
5 Conclusion
References
Not Another Hardcoded Solution to the Student Dropout Prediction Problem: A Novel Approach Using Genetic Algorithms for Feature Selection
1 Introduction
2 Methodology
2.1 Data Preprocessing
2.2 Feature Selection
2.3 Dropout Prediction via Neural Network
3 Experiments and Discussion
3.1 Experiment 1: Feature Selection Using SVM and Genetic Algorithms
3.2 Experiment 2: Students' Dropout Prediction
4 Conclusion and Future Works
References
Tutoring and Learning Systems: New Approaches, Frameworks, and Theories
Equitable Access to Intelligent Tutoring Systems Through Paper-Digital Integration
1 Introduction
2 Proposed Paper-Digital Integration System
3 Related Work
4 Research Questions
5 Handwriting Data
6 Analysis
7 Discussion
8 Conclusion and Future Work
References
"See the Image in Different Contexts": Using Reverse Image Search to Support the Identification of Fake News in Instagram-Like Social Media
1 Introduction
2 Background
2.1 Human-Oriented Approaches to Dealing with Fake News
2.2 Awareness Tools
2.3 Learning Companion Systems
3 Approach
3.1 System Components and Architecture
3.2 Reverse Image Search Module (RIS)
4 Scenario for Trials
5 User Evaluation
6 Conclusion and Outlook
References
A Theory Based Adaptive Pedagogical Agent in a Reading App for Primary Students - A User Study
1 Introduction
2 Theoretical Background and Related Work
2.1 Theory on Motivation in Learning
2.2 Educational Mobile Apps
2.3 Learning to Read with Technology Support
2.4 Pedagogical Agents
3 Contribution
4 Learning Environment
4.1 Application and Target Group
4.2 Modeling of Agent Behavior and App Design According to ARCS Model
5 User Study
5.1 Participants
5.2 Measures
5.3 Procedure
6 Results
7 Discussion
7.1 Limitations and Future Work
8 Conclusion
References
Intelligent Tutor for Designing Function Interface in a Programming Language
1 Introduction
2 Related Work
3 Approach to Teaching Designing Function Interface
4 Tutor Implementation and Evaluation
5 Conclusions and Future Work
References
Effects of Guidance on Learning About Ill-defined Problems
1 Introduction
2 A Brief Description of the VERA Online Laboratory
3 Experimental Design
3.1 Participants
3.2 Procedure
3.3 Group A: Guided Learning
3.4 Group B: Self-Exploration
3.5 Problem-Solving Task
4 Data Analysis
4.1 Outcome Measures
4.2 Results
5 Discussion
6 Conclusion
References
MEMORABLE: A Multi-playEr custoMisable seriOus Game fRAmework for cyBer-security LEarning
1 Introduction
2 Related Work
3 MEMORABLE: A Customisable Serious Game Framework
3.1 Game Element Management Panels
3.2 A Prototype Multi-player Game: ``Cyberpoly''
4 Results
4.1 Experimental Setup
4.2 Student and Teacher Feedback
5 Conclusion and Future Work
References
Improving Program Matching to Automatically Repair Introductory Programs
1 Introduction
2 The Automated Program Repairer CLARA
2.1 Model, Locations and Expressions
2.2 Single Function Matching and Repair
3 Modifications to AST Processing and Interpreting
4 Approximate Graph Matching
5 Experimental Results
6 Conclusions
References
Gamification, User-Centered Design and Learning Objectives as the Basis for a Minigame-Based Cardiovascular Anatomy ITS
1 Introduction
2 Methodology
3 Game Descriptions
4 Discussion
5 Conclusions and Future Work
References
Investigating Clues for Estimating Near-Future Collaborative Work Execution State Based on Learners' Behavioural Data During Collaborative Learning
1 Introduction
2 Method
2.1 Participants
2.2 Materials and Systems
2.3 Procedure
2.4 Independent Variables
2.5 Analysis
3 Discussions and Conclusion
References
Selfit v2 - Challenges Encountered in Building a Psychomotor Intelligent Tutoring System
1 Introduction
2 Selfit Version 2 - An ITS for Psychomotor Strength Skills Development
2.1 The OntoStrength Ontology
2.2 The Selfit v2 Anatomical Adaptation Tutoring System
2.3 The Selfit v2 Graphical User Interface
3 Discussions on Encountered Challenges
3.1 Challenges in Knowledge Representation
3.2 Challenges in Self-improving Tutoring
3.3 Challenges in Interactions with the Trainee
3.4 Preliminary User Testing
4 Conclusions and Future Work
References
Integrating Speech Technology into the iSTART-Early Intelligent Tutoring System
1 Introduction
1.1 iSTART-Early
2 Integration of Speech Technologies into iSTART-Early
2.1 The Process Flow
2.2 Automated Speech Recognition Interface
2.3 Text-To-Speech: Audio Collection Integration
2.4 Key Features of the ASR and Text-To-Speech Interface
3 Initial Evaluation of Speech Technologies into ISTART-Early
3.1 Adult Pilot Study
4 Future Work/Next Steps
References
iSTART-Early: Interactive Strategy Training for Early Readers
1 Introduction
2 Technological Foundations of iSTART-Early
3 Core Components of iSTART-Early
3.1 Background Story and Goals
3.2 Lessons
3.3 Games
3.4 Texts
3.5 Automated Speech Recognition (ASR)
3.6 Text-to-Speech
3.7 Teacher Interface
4 Conclusion
References
Correction to: Intelligent Tutoring Systems
Correction to: S. Crossley and E. Popescu (Eds.): Intelligent Tutoring Systems, LNCS 13284, https://doi.org/10.1007/978-3-031-09680-8
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Intelligent Tutoring Systems

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