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Innehåll tillhandahållet av Real Python. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Real Python 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.
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The Legacy of OLPC and Charismatic Pitfalls in Teaching Programming

1:22:08
 
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Manage episode 306980899 series 2637014
Innehåll tillhandahållet av Real Python. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Real Python 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.

Do you remember the One Laptop Per Child program? What went wrong, and what can we learn from the program’s failure? What are the potential pitfalls of charismatic technology, and how can we avoid them when introducing students to programming? This week on the show, former guest Al Sweigart and author Morgan Ames are here to talk about her book “The Charisma Machine - The Life, Death, and Legacy of One Laptop per Child.”

We discuss the OLPC program and how idealized visions of our programming backgrounds can become traps. Morgan explains how these utopian visions are still used to attempt to disrupt education. Along with this cautionary tale, we also talk about educational programs that are working and how entry points to programming are changing.

Course Spotlight: Using Pandas to Make a Gradebook in Python

With this course and Python project, you’ll build a script to calculate grades for a class using pandas. The script will quickly and accurately calculate grades from a variety of data sources. You’ll see examples of loading, merging, and saving data with pandas, as well as plotting some summary statistics.

Topics:

  • 00:00:00 – Introduction
  • 00:02:13 – Morgan’s background
  • 00:02:58 – Computer Science and Information Science
  • 00:04:46 – Early introduction of computers to schools
  • 00:08:25 – What was the One Laptop Per Child (OLPC) Program?
  • 00:12:32 – Turtle art and Scratch
  • 00:16:34 – Sponsor: CData Software
  • 00:17:15 – What is the global south?
  • 00:19:12 – How does charisma apply to objects and technology?
  • 00:28:30 – Python language design and Learn to Code
  • 00:34:53 – Media technology scares and the self taught coder
  • 00:40:35 – Video Course Spotlight
  • 00:41:41 – Technically precocious boys and exclusion of others
  • 00:43:47 – Minecraft and technology maintenance skills
  • 00:49:08 – Skewed utopian visions and lack of ongoing support
  • 00:52:54 – Shifting feminine vs masculine perceived roles in computing
  • 01:02:41 – Changing entry points for programming
  • 01:09:00 – The why of “learn to code” and empowerment
  • 01:13:13 – Metaverse, nostalgia, and dystopia
  • 01:14:45 – The Diamond Age and Code Hero Kickstarter
  • 01:16:53 – Avoiding future charismatic traps
  • 01:18:28 – Shoutouts and social connections
  • 01:21:04 – Thanks and goodbyes

Show Links:

Level up your Python skills with our expert-led courses:

Support the podcast & join our community of Pythonistas

  continue reading

202 episoder

Artwork
iconDela
 
Manage episode 306980899 series 2637014
Innehåll tillhandahållet av Real Python. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Real Python 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.

Do you remember the One Laptop Per Child program? What went wrong, and what can we learn from the program’s failure? What are the potential pitfalls of charismatic technology, and how can we avoid them when introducing students to programming? This week on the show, former guest Al Sweigart and author Morgan Ames are here to talk about her book “The Charisma Machine - The Life, Death, and Legacy of One Laptop per Child.”

We discuss the OLPC program and how idealized visions of our programming backgrounds can become traps. Morgan explains how these utopian visions are still used to attempt to disrupt education. Along with this cautionary tale, we also talk about educational programs that are working and how entry points to programming are changing.

Course Spotlight: Using Pandas to Make a Gradebook in Python

With this course and Python project, you’ll build a script to calculate grades for a class using pandas. The script will quickly and accurately calculate grades from a variety of data sources. You’ll see examples of loading, merging, and saving data with pandas, as well as plotting some summary statistics.

Topics:

  • 00:00:00 – Introduction
  • 00:02:13 – Morgan’s background
  • 00:02:58 – Computer Science and Information Science
  • 00:04:46 – Early introduction of computers to schools
  • 00:08:25 – What was the One Laptop Per Child (OLPC) Program?
  • 00:12:32 – Turtle art and Scratch
  • 00:16:34 – Sponsor: CData Software
  • 00:17:15 – What is the global south?
  • 00:19:12 – How does charisma apply to objects and technology?
  • 00:28:30 – Python language design and Learn to Code
  • 00:34:53 – Media technology scares and the self taught coder
  • 00:40:35 – Video Course Spotlight
  • 00:41:41 – Technically precocious boys and exclusion of others
  • 00:43:47 – Minecraft and technology maintenance skills
  • 00:49:08 – Skewed utopian visions and lack of ongoing support
  • 00:52:54 – Shifting feminine vs masculine perceived roles in computing
  • 01:02:41 – Changing entry points for programming
  • 01:09:00 – The why of “learn to code” and empowerment
  • 01:13:13 – Metaverse, nostalgia, and dystopia
  • 01:14:45 – The Diamond Age and Code Hero Kickstarter
  • 01:16:53 – Avoiding future charismatic traps
  • 01:18:28 – Shoutouts and social connections
  • 01:21:04 – Thanks and goodbyes

Show Links:

Level up your Python skills with our expert-led courses:

Support the podcast & join our community of Pythonistas

  continue reading

202 episoder

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