Beyond AI Literacy: Teaching Kids How AI Works copertina

Beyond AI Literacy: Teaching Kids How AI Works

Beyond AI Literacy: Teaching Kids How AI Works

Ascolta gratuitamente

Vedi i dettagli del titolo

Offerte di stagione | 0,99 €/mese per i primi 3 mesi

A seguire 9,99 €/mese – si applicano condizioni. Puoi disdire mensilmente.
Some middle school students today can explain how self-driving cars see the world and how ChatGPT knows the meanings of words. We’ll talk with the people behind AI4K12.org and the AI4MiddleSchools.org curriculum that teaches students how AI works.David Touretzky and Christina Gardner-McCune are among the researchers first formalizing K-12 AI Education as a field of research and practice. What began in 2018 as a question about what K-12 students should know about AI led to organizing the AI4K12 Working Group, composed of K-12 computing teachers, university researchers, industry representatives, and tool developers. AI4K12.org is shaping the fabric of AI Education nationally and internationally. Dave and Christina are now leading a mutli-institutional partnership, AI4MiddleSchools.org, spanning 8 states and counting, to teach middle school teachers and students how AI works. They are joined by Christi Scarborough, a middle school CTAE (Career, Technical, & Agricultural Education) teacher from Georgia, who began her AI journey as a science teacher in the AI4GA.org research practitioner partnership project, the forerunner of AI4MiddleSchools, funded by NSF. Christi is now leading her school district’s effort to infuse AI across the curriculum, developing AI curriculum, and coaching and teaching new middle school teacher leaders and teachers in the AI4MiddleSchools.org project. Why should middle school kids learn about AI? AI is the new electricity. It powers much of modern technology, so educated adults need to understand how it works. In 2018, the AI4K12 Working Group formulated the Five Big Ideas in AI to make AI understandable to K-12 teachers and students. The Five Big Ideas and their grade band progression charts help people understand where AI shows up in their everyday lives, and the concepts that underlie it. Take for example a robo-taxi. Through exploring Big Idea 1, Perception, students learn about the devices a self-driving car uses to sense the world around it, and grapple with the difference between sensing and perception. (Perception is the extraction of meaning from raw sensory data, and requires AI.)Big idea 2, Representation and Reasoning, explores how computers represent knowledge as data, and how they use algorithms to operate on that data to solve reasoning problems. A self-driving car, for example, represents the world using a map, and employs search algorithms to reason about the route it will take. Another Big Idea 2 example is how the meanings of words are represented using large lists of numbers called “embeddings” which are created by machine learning algorithms. Neural networks such as ChatGPT use these embeddings for reasoning.How do we teach K-12 students about concepts that until eight years ago were discussed mainly in graduate-level university courses? We find ways to simplify the concepts and connect them to students’ everyday encounters with AI. Reading & ResourcesAI4K12.org - Artificial Intelligence for K-12 (AI4K12) Initiative. Introduces the Five Big Ideas in AI, and national guidelines for teaching AI across four K-12 grade bands. Includes a curated a AI resource directory.AI4GA.org - Artificial Intelligence for Georgia Project - NSF-funded Middle School AI Curriculum and Teacher Professional Development Project.AI4MiddleSchools.org - A multi-state AI teacher capacity building project focused on equipping teachers, schools, and district leaders to teach AI in every middle school and support teachers in a multi-year professional learning community. The project is building infrastructure to scale through state, regional, and non-profit partnerships. Dr. David S. Touretzky is a Research Professor of Computer Science at Carnegie Mellon University in Pittsburgh, Pennsylvania. His current research focus is K-12 AI and robotics education. After founding AI4K12.org in 2018, Touretzky and his colleagues introduced the Five Big Ideas in AI and developed national guidelines for what children should know about AI and what they should be able to do with it. He and his students have created numerous online learning resources such as Neuron Sandbox, Diffusion Demo, and Word Embedding Demo that promote hands-on experimentation and learning about AI. Touretzky was named a Distinguished Scientist by the Association for Computing Machinery, a Senior Member of the Association for the Advancement of Artificial Intelligence, and a Fellow of the American Association for the Advancement of Science. In 2022 he shared the AAAI/EAAI Outstanding Educator of the Year award with the three other members of the AI4K12.org Steering Committee.Contact: dst@cs.cmu.eduSocial media: #CMUCSD @CSDatCMUWeb: https://www.cs.cmu.edu/~dst Dr. Christina Gardner-McCune, University of Florida, Associate Professor Computer ScienceDr. Christina Gardner‑McCune is a trailblazer in K–12 AI education and an Associate Professor of Computer Science at the University of Florida’s Herbert ...
adbl_web_anon_alc_button_suppression_t1
Ancora nessuna recensione