<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Education Technology on MacWorks</title><link>https://macworks.dev/tags/education-technology/</link><description>Recent content in Education Technology on MacWorks</description><generator>Hugo</generator><language>en</language><atom:link href="https://macworks.dev/tags/education-technology/index.xml" rel="self" type="application/rss+xml"/><item><title>YouTube</title><link>https://macworks.dev/docs/week/youtube/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://macworks.dev/docs/week/youtube/</guid><description>&lt;h1 id="youtube--week-of-2026-06-20-to-2026-06-26"&gt;YouTube — Week of 2026-06-20 to 2026-06-26&lt;a class="anchor" href="#youtube--week-of-2026-06-20-to-2026-06-26"&gt;#&lt;/a&gt;&lt;/h1&gt;
&lt;h2 id="watch-first"&gt;Watch First&lt;a class="anchor" href="#watch-first"&gt;#&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;The single most essential watch this week is the Financial Times&amp;rsquo; documentary &lt;strong&gt;The AI factory: the rewiring of India&amp;rsquo;s tech industry | FT Film&lt;/strong&gt;, which masterfully explores the human labor training global AI and asks whether India is building sovereign tech power or merely acting as Silicon Valley&amp;rsquo;s exploitative back office.&lt;/p&gt;
&lt;h2 id="week-in-review"&gt;Week in Review&lt;a class="anchor" href="#week-in-review"&gt;#&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;This week&amp;rsquo;s content was heavily anchored by the intersection of AI realities and geopolitical maneuvering, moving past Silicon Valley hype to examine the global supply chains and human labor actually powering modern tech ecosystems. Market jitters also dominated the financial commentary, with multiple channels questioning the sustainability of massive AI capital expenditures and the aggressive debt taken on by major tech players. Finally, a strong slate of historical deep dives provided critical context for modern issues, ranging from the roots of nuclear proliferation to the unscientific nature of standard forensic methods.&lt;/p&gt;</description></item><item><title>2026-06-22</title><link>https://macworks.dev/docs/archives/youtube/youtube-2026-06-22/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://macworks.dev/docs/archives/youtube/youtube-2026-06-22/</guid><description>&lt;h1 id="youtube--2026-06-22"&gt;YouTube — 2026-06-22&lt;a class="anchor" href="#youtube--2026-06-22"&gt;#&lt;/a&gt;&lt;/h1&gt;
&lt;h2 id="watch-first"&gt;Watch First&lt;a class="anchor" href="#watch-first"&gt;#&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;&lt;strong&gt;&lt;a href="https://www.youtube.com/watch?v=mvcesPWvUIc"&gt;Can you name the most accurate forensic method?&lt;/a&gt;&lt;/strong&gt;
Forget what you&amp;rsquo;ve seen on crime shows. Veritasium delivers an incredibly well-researched, eye-opening breakdown of why widely accepted forensic methods—like bite mark analysis, blood spatter, and microscopic hair comparison—are shockingly unscientific and have led to numerous false convictions. It&amp;rsquo;s a sobering look at how even highly trusted methods like fingerprint and DNA analysis are plagued by conformity bias and mixture interpretation errors.&lt;/p&gt;</description></item></channel></rss>