Dana Gretton
Dana Gretton is a maker, programmer, artist, and informal learning enthusiast. He has some radical ideas about what education can be and what it is not. He is a graduate of the Massachusetts Institute of Technology in electrical engineering and computer science, and a current graduate student at the MIT Media Lab. His current work is in robotic biological process automation and cryptographic systems to make DNA synthesis safer.
Talks
How to Prove and Assess Quality Learning (With *DAS) (1)
So you've learned some amazing things from your community, not from school. How can you prove it? With an open source accreditation system, of course! But it's a challenge to write a certificate for your own learning that includes every piece: the right prerequisites, the right kind of proof that it's yours, the right material to make an excellent case for your knowledge - and how to credit your community, too. Join this workshop to learn how to write a short, trustworthy certificate to prove your knowledge (like the key points of Brown v. Board of Education of Topeka, 1954) or your skill (like soldering headers) that you'd like to prove to yourself or others, especially something you've learned at HOPE 2020! Use a reference-rich decentralized accreditation system (*DAS), which will be provided, to visualize your certificate as part of a live network of everyone else's certificates from the workshop.
https://wiki.hope.net/index.php?title=How_to_Prove_and_Assess_Quality_Learning_workshop
Introducing *DAS: A Framework for Certifying Hacker Knowledge
Hacker knowledge is open to all, community-backed, and defies regulation. All education could be enhanced by these unique strengths, but they also represent challenges: How can we build trust in excellent hacker knowledge sharing? How can we start to style all education after hacker learning, while maintaining the level of trust people place in certificates and transcripts?
This talk introduces the Reference-Rich Decentralized Accreditation System (DAS), a conceptual framework and developing circle of open source software for certifying knowledge among learners and between far-flung learning communities. Dana will show how the tech backing DAS aligns learners' incentives to certify each other and themselves by offering statistical inference that reveals excellent teaching. He will describe high school pilot studies by makerspace learner-teachers in Beijing's Moonshot Academy as example applications. Dana will also demo how to use DAS to evaluate some of our own learning about other topics, like cooking and programming. DAS does not use machine learning and it prioritizes data privacy. The DAS concept is designed to democratize education, lessen systemic inequality, and reward exponentially spreading peer-to-peer teaching and learning.
How to Prove and Assess Quality Learning (With *DAS) (2)
<<<<<<< HEADSo you've learned some amazing things from your community, not from school. How can you prove it? With an open source accreditation system, of course! But it's a challenge to write a certificate for your own learning that includes every piece: the right prerequisites, the right kind of proof that it's yours, the right material to make an excellent case for your knowledge - and how to credit your community, too. Join this workshop to learn how to write a short, trustworthy certificate to prove your knowledge (like the key points of Brown v. Board of Education of Topeka, 1954) or your skill (like soldering headers) that you'd like to prove to yourself or others, especially something you've learned at HOPE 2020! Use a reference-rich decentralized accreditation system (*DAS), which will be provided, to visualize your certificate as part of a live network of everyone else's certificates from the workshop.
https://wiki.hope.net/index.php?title=How_to_Prove_and_Assess_Quality_Learning_workshop