Python for n00bs python education summit 2018
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This document discusses best practices for teaching Python programming to novices. It covers cognitive learning theories like schema theory and motivation theory. It advocates using a scaffolded constructivist approach with spaced practice and authentic projects. Specific techniques discussed include using visual feedback in browser programming for young learners and text-based adventure games for older students. The document also discusses balancing pedagogical approaches with efficient programming practices and managing cognitive load when teaching programming concepts.
Python for n00bs python education summit 2018
- 1. Python for N00bs A Cognitive and Educational Approach Meg Ray @Teach_Python
- 2. Meg Ray Teacher in Residence Cornell Tech meg.ray@cornell.edu @Teach_Python
- 3. Will all the autodidacts please stand up?
- 4. Who is your user learner?
- 5. Lessons Learned 1: Command lines, directories, and shells, oh my! How not to teach the command line (or Why it took me so long to learn to use the command line and why some students never do)
- 6. Lessons learned from the classroom:
- 9. Schema Theory Graphic by Sister Teachers East Coast https://www.teacherspayteachers.com/FreeDownload/Schem a-Poster-Freebie-431136
- 10. Motivation Theory Why are we learning this? How can I use this IRL?
- 11. Stages of Cognitive Development
- 12. Spaced/Distributed Practice... ...in an authentic context ...within a constructed schema Graphic from The Knowledge Guru http://www.theknowledgeguru.com/spaced-retrieval-retrieval-practice-knowledge-guru-research-tells- us/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+theknowledgeguru%2FRgvG+%28Learning+Game+Design+Blog+ -+Knowledge+Guru%29
- 13. Implications
- 14. 4th grade in- browser programming with visual feedback
- 15. 9th Grade programming Text- based Adventure Game
- 16. Lessons Learned 2: Matters of Motivation How not to teach the basics (Or Why powering through the boring stuff doesn’t work even though it seems like the quickest way)
- 17. Constructivism and Explicit Instruction Explicit Instruction: Knowledge is impparted by the teacher and practiced in a deliberate manner by students Constructivism: Knowledge is constructed by students through unstructured play and inquiry experiences
- 18. Scaffolded Constructivism Idea from research by Maya Israel, University of Illinois, Urbana-Champaign; and Meg J Ray, Cornell Tech
- 19. Implications: CS Education Research
- 20. Project Based Learning Meaningful Tangible To the individual learner Micro:bit & circuit playground examples by MakeCode
- 21. Implications: Young Coders Young Coders, PyGotham 2017 Barbara Shurette and Meg Ray
- 22. Weighing best practice: pedagogy vs. programming Sacrifice efficient for explicit: Sacrifice the easy to avoid bad practice: Globals
- 23. Cognitive Load Cut out details ...even when it’s painful ...and more correct
- 24. Implications: Python Curriculum Graphics from codesters.com
- 25. Learn from your own experiences as an educator
- 26. Questions to ask yourself when your learner does not understand - What is my learner’s cognitive developmental stage? - What is my learner’s prior knowledge? - What tools does my learner use to learn other topics (math, reading, etc)? - How much am I asking my learner to take in, in one sitting? - How much practice over time has my learner had? - Can I represent this using other mediums?