Artificial Intelligence in Education

  1. Data, Analytics, and Modeling
    1. Educational Data Mining
      1. Goals of EDM
        1. Discovering Learning Patterns
          1. Improving Instructional Design
            1. Understanding Learning Processes
              1. Optimizing Educational Systems
              2. Data Collection Methods
                1. Log Files and Clickstreams
                  1. Tracking User Interactions
                    1. Analyzing Navigation Paths
                      1. Time-on-Task Measurement
                        1. Sequence Analysis
                        2. Sensor Data
                          1. Wearable Devices
                            1. Eye-Tracking and Motion Sensors
                              1. Physiological Monitoring
                                1. Environmental Sensors
                                2. Assessment Data
                                  1. Test Scores
                                    1. Assignment Submissions
                                      1. Rubric Evaluations
                                        1. Peer Assessments
                                        2. Survey and Self-Report Data
                                          1. Learning Preferences
                                            1. Motivation Surveys
                                              1. Self-Efficacy Measures
                                            2. Key EDM Techniques
                                              1. Classification
                                                1. Predicting Student Outcomes
                                                  1. Identifying Learning Styles
                                                    1. Dropout Prediction
                                                      1. Performance Categorization
                                                      2. Clustering
                                                        1. Grouping Similar Learners
                                                          1. Segmenting Learning Behaviors
                                                            1. Identifying Learning Patterns
                                                              1. Student Profiling
                                                              2. Regression
                                                                1. Forecasting Achievement
                                                                  1. Time Series Analysis
                                                                    1. Factor Analysis
                                                                    2. Association Rule Mining
                                                                      1. Discovering Co-occurring Behaviors
                                                                        1. Identifying Learning Sequences
                                                                          1. Prerequisite Discovery
                                                                            1. Curriculum Optimization
                                                                            2. Text Mining
                                                                              1. Content Analysis
                                                                                1. Discussion Forum Mining
                                                                                  1. Essay Analysis
                                                                                    1. Feedback Processing
                                                                                2. Learning Analytics
                                                                                  1. Distinguishing LA from EDM
                                                                                    1. Focus and Methodological Differences
                                                                                      1. Complementary Roles in Education
                                                                                        1. Stakeholder Perspectives
                                                                                          1. Application Contexts
                                                                                          2. Levels of Analytics
                                                                                            1. Descriptive Analytics
                                                                                              1. Reporting and Summarization
                                                                                                1. Historical Data Analysis
                                                                                                  1. Performance Dashboards
                                                                                                  2. Diagnostic Analytics
                                                                                                    1. Root Cause Analysis
                                                                                                      1. Problem Identification
                                                                                                        1. Correlation Analysis
                                                                                                        2. Predictive Analytics
                                                                                                          1. Early Warning Predictions
                                                                                                            1. Success Forecasting
                                                                                                              1. Risk Assessment
                                                                                                              2. Prescriptive Analytics
                                                                                                                1. Actionable Recommendations
                                                                                                                  1. Intervention Strategies
                                                                                                                    1. Optimization Solutions
                                                                                                                  2. Visualizing Learning Data
                                                                                                                    1. Dashboards and Reports
                                                                                                                      1. Data Storytelling Techniques
                                                                                                                        1. Interactive Visualizations
                                                                                                                          1. Mobile Analytics
                                                                                                                          2. Learning Analytics Frameworks
                                                                                                                            1. Reference Models
                                                                                                                              1. Implementation Guidelines
                                                                                                                                1. Quality Assurance
                                                                                                                              2. Student Modeling
                                                                                                                                1. Purpose of Student Models
                                                                                                                                  1. Personalization of Instruction
                                                                                                                                    1. Monitoring Learning Progress
                                                                                                                                      1. Adaptive System Behavior
                                                                                                                                        1. Intervention Triggering
                                                                                                                                        2. Components of a Student Model
                                                                                                                                          1. Knowledge and Skill Tracing
                                                                                                                                            1. Mastery Estimation
                                                                                                                                              1. Learning Curve Analysis
                                                                                                                                                1. Skill Acquisition Modeling
                                                                                                                                                  1. Forgetting Curves
                                                                                                                                                  2. Cognitive States
                                                                                                                                                    1. Detecting Confusion
                                                                                                                                                      1. Measuring Engagement
                                                                                                                                                        1. Attention Modeling
                                                                                                                                                          1. Working Memory Load
                                                                                                                                                          2. Affective States
                                                                                                                                                            1. Identifying Frustration
                                                                                                                                                              1. Recognizing Boredom
                                                                                                                                                                1. Motivation Tracking
                                                                                                                                                                  1. Emotional Regulation
                                                                                                                                                                  2. Metacognitive Skills
                                                                                                                                                                    1. Self-Regulation Tracking
                                                                                                                                                                      1. Reflection and Planning
                                                                                                                                                                        1. Strategy Selection
                                                                                                                                                                          1. Goal Setting
                                                                                                                                                                          2. Social and Collaborative Aspects
                                                                                                                                                                            1. Peer Interaction Patterns
                                                                                                                                                                              1. Communication Skills
                                                                                                                                                                                1. Leadership Qualities
                                                                                                                                                                              2. Techniques for Student Modeling
                                                                                                                                                                                1. Bayesian Knowledge Tracing
                                                                                                                                                                                  1. Probabilistic Mastery Estimation
                                                                                                                                                                                    1. Parameter Learning
                                                                                                                                                                                      1. Model Extensions
                                                                                                                                                                                      2. Performance Factors Analysis
                                                                                                                                                                                        1. Modeling Practice Effects
                                                                                                                                                                                          1. Skill Transfer
                                                                                                                                                                                            1. Learning Rate Estimation
                                                                                                                                                                                            2. Item Response Theory
                                                                                                                                                                                              1. Ability Estimation
                                                                                                                                                                                                1. Item Difficulty Modeling
                                                                                                                                                                                                  1. Adaptive Testing
                                                                                                                                                                                                  2. Deep Learning Models
                                                                                                                                                                                                    1. Neural Network Architectures
                                                                                                                                                                                                      1. Representation Learning
                                                                                                                                                                                                        1. Sequence Modeling
                                                                                                                                                                                                        2. Multi-dimensional Models
                                                                                                                                                                                                          1. Cognitive Diagnostic Models
                                                                                                                                                                                                            1. Latent Class Analysis
                                                                                                                                                                                                              1. Factor Models
                                                                                                                                                                                                            2. Model Validation and Evaluation
                                                                                                                                                                                                              1. Predictive Accuracy
                                                                                                                                                                                                                1. Model Interpretability
                                                                                                                                                                                                                  1. Generalizability
                                                                                                                                                                                                                    1. Ethical Considerations

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                                                                                                                                                                                                                3. Tools and Support for Educators

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                                                                                                                                                                                                                5. Design and Implementation of AIEd Systems