<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Instructional-Design on Bil Arikan</title><link>https://bil.arikan.ca/tags/instructional-design/</link><description>Recent content in Instructional-Design on Bil Arikan</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Fri, 08 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://bil.arikan.ca/tags/instructional-design/index.xml" rel="self" type="application/rss+xml"/><item><title>Mapping the code-as-video landscape --- deterministic to generative, with a learning-content lens</title><link>https://bil.arikan.ca/posts/code-as-video-landscape-for-learning-content/</link><pubDate>Fri, 08 May 2026 00:00:00 +0000</pubDate><guid>https://bil.arikan.ca/posts/code-as-video-landscape-for-learning-content/</guid><description>The first two posts in this series put Editframe through its paces on a hello-world clip and a 71-second product walkthrough. This third post zooms out. The question is no longer &amp;lsquo;does code-as-video work for L&amp;amp;D&amp;rsquo; &amp;mdash; the first two experiments answered that. It is which other frameworks belong in the picture, where they sit on a deterministic-to-generative spectrum, and what each tier can credibly contribute to a learning content development workflow.</description></item><item><title>Code-as-video with Editframe --- video production as a dev workflow</title><link>https://bil.arikan.ca/posts/code-as-video-with-editframe/</link><pubDate>Thu, 07 May 2026 00:00:00 +0000</pubDate><guid>https://bil.arikan.ca/posts/code-as-video-with-editframe/</guid><description>The first experiment closed with a question : can an agent take structured product information and turn it into a short, repeatable video composition? This second experiment is the answer. The interesting part is not the seconds. It is what this workflow does to the way Learning Program Owners, Learning Designers, and Learning Developers traditionally split the work.</description></item><item><title>From blocked to built : decomposing a stuck project with human + AI collaboration</title><link>https://bil.arikan.ca/posts/from-blocked-to-built/</link><pubDate>Sun, 26 Apr 2026 00:00:00 +0000</pubDate><guid>https://bil.arikan.ca/posts/from-blocked-to-built/</guid><description>&lt;p&gt;A content adaptation project had been stalled for months. Existing material existed, but no team had a clear mandate to adapt it, the source content&amp;rsquo;s training modality was wrong for the target audience, and the resourcing case was too thin to justify a traditional approach. The guiding question I was working with : &lt;strong&gt;can a single practitioner move a stuck, multi-stakeholder project to a validated proposal using AI-assisted work decomposition &amp;mdash; and if so, what does that actually look like?&lt;/strong&gt;&lt;/p&gt;</description></item><item><title>Translation vs. Localisation Is the Wrong Frame</title><link>https://bil.arikan.ca/posts/translations-localizations-decomposition/</link><pubDate>Thu, 02 Apr 2026 00:00:00 +0000</pubDate><guid>https://bil.arikan.ca/posts/translations-localizations-decomposition/</guid><description>&lt;p&gt;I&amp;rsquo;ve been working on an agent team approch to translation and localisation of training content, and I got some pointed feedback, as well as debates on definitions: where exactly does translation end and localisation begin?&lt;/p&gt;</description></item></channel></rss>