AI-assisted Event-driven System for Collaborative Programming Learning Analytics

Overview

Discover an AI-powered system for analyzing collaborative programming activities, featuring event-driven visualization tools to enhance learning assessment and group dynamics.

Syllabus

• Introduction to AI-assisted Learning Analytics
Overview of Learning Analytics in Education
Role of AI in Enhancing Learning Environments
• Fundamentals of Collaborative Programming
Principles of Collaborative Learning
Tools and Platforms for Collaborative Coding
• Event-driven Systems in Education
Understanding Event-driven Architecture
Implementing Event-driven Systems for Learning Analytics
• AI Techniques for Analyzing Programming Activities
Data Collection and Preprocessing in Educational Settings
Machine Learning Algorithms for Activity Analysis
Natural Language Processing for Code Review and Feedback
• Visualization Tools for Learning Assessment
Designing Effective Visualizations in Education
Integrating Visualization Tools with Learning Analytics
• Enhancing Group Dynamics through AI
Monitoring and Measuring Group Interactions
AI-driven Interventions to Foster Collaboration
• Case Studies and Applications
Real-world Implementations of AI Learning Analytics
Success Stories and Lessons Learned in Collaborative Learning Settings
• Ethical Considerations and Data Privacy
Ensuring Student Privacy in AI Systems
Addressing Bias and Fairness in AI-driven Learning Analytics
• Future Trends and Innovations in AI-assisted Learning
Emerging Technologies in Educational AI
Predicting the Future Impact of AI on Learning Environments
• Practical Workshops and Hands-on Projects
Developing a Simple Event-driven Learning Analytics System
Analyzing Collaborative Programming Data Using AI Tools

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Subjects

Data Science