Understanding AI Through Technological Shifts & Computational Thinking скачать в хорошем качестве

Understanding AI Through Technological Shifts & Computational Thinking

Just as students in the 1990s learned email and PowerPoint, today’s students must understand AI. Explore major technological shifts throughout history—from writing and the printing press to the telegraph and internet—to contextualize AI’s emergence. Discover how computational thinking principles (decomposition, pattern recognition, abstraction, algorithms) explain both file compression and how large language models work. Learn how Duke’s Center for Computational Thinking prepares students for our technology-centric future. Key concepts covered: Historical technological shifts: writing, printing press, telegraph, internet Common concerns across technologies: control, privacy, social divide Computational thinking principles applied to real problems Music compression example: from 50MB WAV to 5MB MP3 How LLMs compress knowledge into neural network weights Language as human compression of ideas Why today’s students face 7+ hours of daily screen time Center for Computational Thinking’s mission at Duke University Who this is for: Educators designing AI curriculum, university administrators, parents, and anyone seeking historical context for understanding AI’s societal impact. Essential viewing for those interested in computational thinking pedagogy. Note: This presentation is separate from the main AI education series but provides complementary perspectives on understanding AI through historical and educational lenses. #ComputationalThinking #AIHistory #TechnologyShifts #AIEducation #DukeUniversity