Learning to teach. Teaching to learn.

Description

Learning to Teach, Teaching to Learn is 2 day conference for educators teaching computer programming in creative and artistic contexts. Held by the School for poetic computation, this event focuses on asking experienced educators how can we learn to teach more effectively. It will bring teachers together to explore pedagogy, curriculum development and strategies for creating environments and tools for learning. The event will consist of a one day program of speakers followed by a one day open workshop for developing your own syllabus and course materials. We will also host a session developing guidelines for teaching creative computation and consider a framework for publishing syllabus resources online with the Processing Foundation. Speakers include:  Allison Parrish (SFPC, NYU ITP, Fordham University) Dan Shiffman (Processing, Foundation, NYU ITP) Golan Levin (CMU, The Frank-Ratchye STUDIO for Creative Inquiry)  Katherine Bennett (NYU Tandon School of Engineering)  Stacy Mulcahy (Microsoft, Bitchwhocodes). Zach Lieberman (SFPC) Organizers: Tega Brain (SUNY, SFPC) and Taeyoon Choi (SFPC) Program: Saturday:  11am - space is open and tea and coffee will be available. 1pm - 3.30pm - Speaker presentations: Best practices and case studies from educators  4 - 5.30pm - Workshop: guidelines for teaching creative computation Sunday: 11 - 5pm - This is an informal day inviting conference attendees to work in the same space, share resources and develop their syllabus. No formal activities will be planned participants will be invited to divide into rough working groups around syllabus themes.