What Everyone Gets Wrong About AI and Learning

Overview

Delve into the transformative impact of AI on education with renowned educator Derek Muller. This insightful exploration integrates principles from cognitive science to evaluate the potential benefits and challenges that artificial intelligence introduces to learning environments.

Drawing from his expertise in physics education, Muller offers a comprehensive look at how technological advancements can revolutionize teaching and learning methods. This course, available on YouTube, fits into broader categories of both Artificial Intelligence and Computer Science education.

Syllabus

• Introduction to AI in Education
Overview of AI technologies in educational settings
Historical context and evolution of AI in education
• Cognitive Science Principles in Learning
Key cognitive science concepts and their relevance to AI
How AI can enhance or hinder cognitive processes in learning
• Opportunities Offered by AI in Education
Personalized learning experiences through AI
Enhancing engagement and motivation via AI tools
Data-driven insights and adaptive learning platforms
• Risks and Challenges of AI in Education
Privacy concerns and data security in AI applications
Potential biases and inequalities introduced by AI systems
The risk of over-dependence on technology in learning
• Case Studies and Real-World Applications
Successful implementations of AI in classrooms
Lessons learned from AI deployment in different educational contexts
• Examining AI’s Impact on Physics Education
Specific examples from physics education enhanced by AI
Challenges and solutions unique to integrating AI in science education
• The Future of AI in Learning
Predictions and trends for AI development in education
Preparing educators and learners for AI-influenced futures
• Final Project
Analyze a current AI tool used in education
Propose improvements or new applications based on cognitive science principles
• Conclusion
Recap of the course learnings and critical reflections
Resources for further study and exploration in AI and education

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Subjects

Computer Science