Pedagogy Meets AI: Challenges and Innovations in LLM-Powered Education

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 AI in Education -- Overview of Artificial Intelligence -- The Role of AI in Modern Education -- Key Concepts in Pedagogy and AI - Understanding Large Language Models (LLMs) -- What are Large Language Models? -- The Technology Behind LLMs -- Limitations and Potentials of LLMs in Education - Pedagogical Challenges in Implementing LLMs -- Curriculum Design with LLMs -- Assessing Student Learning Outcomes -- Ensuring Accessibility and Inclusivity - Innovative Approaches in LLM-Powered Education -- Personalized Learning Experiences -- LLMs as Teaching Assistants -- Enhancing Feedback and Assessment with LLMs - Ethical and Societal Considerations -- Data Privacy and Security Concerns -- Bias in AI Models and Mitigation Strategies -- Ethical Use of AI in Classroom Settings - Case Studies and Practical Applications -- Successful Implementations of LLMs in Education -- Lessons Learned from Real-World Applications -- Interactive Case Analysis with Discussion - Future Directions in AI and Education -- Emerging Trends in AI Technologies -- The Future of Teaching and Learning with AI -- Policy and Frameworks for AI in Education - Course Wrap-up and Final Project -- Synthesis of Course Concepts -- Group Project: Designing an LLM-Enhanced Educational Tool -- Presentations and Peer Feedback

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