AI Education Insights: Practical Ideas from Expert Course
Explore practical ideas on leveraging AI in education from a course by Ethan and Lilach Molick. Discover the impact of AI, tools, LLMs, productivity gains, and ethical considerations in teaching. Enhance your understanding of AI's transformative potential in the educational landscape.
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Practical AI for Instructors and Students Ideas for these slides taken from Ethan and Lilach Molick s YouTube Course: https://youtu.be/t9gmyvf7JYo?si=3zxHpc- RmRj5Mhgg
Slide 2: Overview of AI in Education AI IS UBIQUITOUS: ACCESSIBLE LANGUAGE LEARNING MODULES FOR ALL AI IS UNDETECTABLE: USAGE BY STUDENTS, INCLUDING FOR CHEATING AI IS TRANSFORMATIVE: IMPACT ON LIFE, WORK, AND EDUCATION
What is AI? HISTORICAL CONTEXT: MACHINE LEARNING ALGORITHMS AND PREDICTION CHALLENGES: STRUGGLES WITH NATURAL LANGUAGE AND WRITING IN EARLY SYSTEMS EVOLUTION: 2017 BREAKTHROUGH WITH "ATTENTION IS ALL YOU NEED" PAPER INTRODUCTION OF LARGE LANGUAGE MODELS (LLMS)
Text: ChatGPT, Bing, Bard, AI Art: Midjourney, Bing, Stable Diffusion, Dalle*E 2 Examples of AI Tools Video: Runway, Fliki, Wonder-AI, D-ID Audio: Soundful, Boomy, Amper, Eleven Labs
How Do LLMs Work? Word Prediction: Predicting the next words in a sentence Learning Method: Ingesting information from internet documents Association Formation: Creating links between words Evolution of Performance: Improvements from early versions to GPT-3
AI's Impact on Productivity Productivity Gains: Enhanced efficiency in writing and coding tasks Quality Improvement: Better work quality with AI assistance Job Disruption: Higher impact on creative and higher-paying jobs Enhancement in Creativity: AI as a tool to improve, not replace
AI in Teaching MOST AFFECTED GROUP: TEACHERS AND INSTRUCTORS TEACHING APPROACH: EDUCATING STUDENTS ON CORRECT AI USAGE OVERCOMING FEAR: EMBRACING AI AS AN EDUCATIONAL TOOL
Source Accuracy: Learning from potentially inaccurate internet documents Rights Management: Issues with training on everyone's information Ethical Concerns Bias: Reflecting biases found on the web Ethical Dilemmas: Disclosure of AI-developed work, dependency concerns, surpassing human intelligence
Generative AI Conclusion Role in Education - is ubiquitous, undetectable and trans formatively impacts education. Evolution and Function basic machine learning to LLMs Tools text, art, video, audio Impact on Work and Creativity productivity gains of 50% possible Teaching Impact teaches must adapt to AI and teach its ethical and effective use Ethical Considerations accuracy, rights management
