The Future of Education (According to AI)
Description
In this episode I ask Bard and ChatGPT what the future of education looks like and probe these platforms to get a pulse on what computer science education looks like according to responses from large language models.
Click here for this episode’s show notes.
How to Get Started with Computer Science Education
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00:00 Intro
00:41 1. What will teaching and learning look like ten years from now?
07:10 - How is that different from today?
09:32 2. What is the role of artificial intelligence in teaching and learning?
17:26 3. Why are teachers leaving the field and what can be done to prevent that?
27:40 How much should a public elementary school computer science educator be paid in Arizona with ten years of experience and a doctorate in education?
29:21 - How much should a private elementary school educator be paid in Arizona with ten years of experience and a doctorate in education?
30:39 5. What are the top five pedagogies for teaching computer science?
33:04 - Elaborate on how each of the pedagogies you listed are beneficial for learning
33:42 - What are the downsides for each of the pedagogies you listed?
35:08 6. How could teachers make computer science classes more equitable?
37:50 7. Why should all students learn computer science?
40:36 - Should someone learn computer science if they are not going to be a professional computer scientist?
43:09 - What prevents students from being interested in computer science?
45:15 8. How can teachers learn how to teach computer science classes if they don't have a background in computer science?
49:13 9. What is computational thinking and why is it being taught in schools?
51:28 - List five examples of computational thinking
52:22 10. Write me a lesson that teaches an elementary student how to create a short Scratch.mit.edu story
57:41 - Write me a lesson that teaches an elementary student how to create a short Scratch.mit.edu story about algorithmic bias
58:53 - Write me a lesson that teaches an elementary student how to create a short Scratch.mit.edu story about algorithmic bias while encouraging students to incorporate their own interests, needs, desires, etc. in the story
01:00:25 11. Based on the kinds of questions I've already asked today, what questions should I ask you next?
01:02:37 My thoughts on this exploration
01:05:12 Outro