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The Future of Education (According to AI)

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Manage episode 365806919 series 2738912
Innehåll tillhandahållet av Jared O'Leary. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Jared O'Leary eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.

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

━━━━━━━━━━━━━
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

  continue reading

214 episoder

Artwork
iconDela
 
Manage episode 365806919 series 2738912
Innehåll tillhandahållet av Jared O'Leary. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Jared O'Leary eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.

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

━━━━━━━━━━━━━
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

  continue reading

214 episoder

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