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Starts 6 June 2025 13:43
Ends 6 June 2025
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Pedagogy Meets AI: Challenges and Innovations in LLM-Powered Education
Explore the intersection of pedagogy and AI as Shashank Sonkar discusses challenges and innovative approaches to implementing large language models in educational contexts.
University of Central Florida
via YouTube
University of Central Florida
2484 Courses
1 hour 2 minutes
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Overview
Explore the intersection of pedagogy and AI as Shashank Sonkar discusses challenges and innovative approaches to implementing large language models in educational contexts.
Syllabus
- Introduction to LLMs in Education
- Pedagogical Foundations
- Technical Understanding of LLMs
- Integration of LLMs in Educational Tools
- Innovations in LLM-Powered Learning
- Addressing Challenges in LLM Implementation
- Evaluating AI Tools in Education
- Future Directions and Trends
- Conclusion and Reflections
- Additional Resources
Overview of Large Language Models (LLMs)
Historical context and evolution of AI in education
Core principles of effective pedagogy
How AI can support and transform these principles
Basic architecture and functioning of LLMs
Current capabilities and limitations
Examples of LLM-powered educational applications
Case studies of successful implementations
Personalized learning paths and adaptive learning
Enhancing student engagement and motivation
Data privacy and ethical considerations
Ensuring accessibility and equity
Metrics for assessing effectiveness and outcomes
Qualitative feedback mechanisms from educators and students
Emerging technologies and their potential impact
Predictions for the future of AI in education
Recap of key lessons learned
Open discussion on ongoing challenges and opportunities
Suggested readings and research papers
Online communities and forums for educators integrating AI
Subjects
Computer Science
