LLM Skills and Meta-Cognition: Scaffolding for New Forms of Learning?

Overview

Explore how LLM skills and meta-cognition can serve as scaffolding for innovative learning approaches with Princeton's Sanjeev Arora.

Syllabus

- Introduction to LLMs and Meta-Cognition -- Overview of Large Language Models (LLMs) -- Understanding Meta-Cognition in Learning -- Importance of LLMs and Meta-Cognitive Skills in Modern Education - Theoretical Foundations -- Cognitive Science Principles Relevant to LLMs -- The Role of Meta-Cognition in Knowledge Acquisition -- Interplay Between LLMs and Cognitive Development - LLM Capabilities and Applications -- Natural Language Processing Basics -- Use Cases: Text Generation, Summarization, and Translation -- LLM Integration in Educational Technology - Scaffolding for New Forms of Learning -- Designing Learning Environments with LLMs -- Enhancing Student Engagement through AI Tools -- Meta-Cognitive Strategies for Effective Learning - Practical Applications and Workshops -- Hands-on Exploration of LLM-Based Tools -- Interactive Projects: Creating Educational Content using LLMs -- Case Studies: Success Stories and Lessons Learned - Evaluating the Impact of LLMs on Learning -- Assessment Techniques for LLM-Based Learning -- Measuring Meta-Cognitive Progress -- Research Studies on Learning Outcomes with LLMs - Challenges and Considerations -- Ethical Implications of Using AI in Education -- Addressing Bias and Ensuring Inclusivity -- Future Prospects and Emerging Trends in LLM-Enhanced Education - Conclusion and Future Directions -- Summarizing Key Learnings -- Open Questions and Research Opportunities -- Building a Personalized Learning Path with LLMs and Meta-Cognition - Guest Lecture: Insights from Sanjeev Arora -- Q&A Session with Guest Expert -- Discussion of Emerging Trends and Innovations in AI Education

Taught by

Tags