<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Markscanner blog</title><description>Writing from the Markscanner team on AI-assisted grading, assessment design, and tooling for math teachers.</description><link>https://markscanner.ca/</link><item><title>Giving better per-question feedback without starting every paper from scratch</title><link>https://markscanner.ca/blog/better-math-feedback-less-time/</link><guid isPermaLink="true">https://markscanner.ca/blog/better-math-feedback-less-time/</guid><description>Practical advice on writing math feedback that actually helps the student — and how to reuse comment patterns across a class set without the feedback feeling canned.</description><pubDate>Thu, 23 Apr 2026 00:00:00 GMT</pubDate></item><item><title>A review-first workflow for grading handwritten math tests</title><link>https://markscanner.ca/blog/review-first-grading-workflow/</link><guid isPermaLink="true">https://markscanner.ca/blog/review-first-grading-workflow/</guid><description>Grade a class set by reviewing flagged and ambiguous answers first, then approving the rest. A concrete walkthrough, plus where AI-drafted marks tend to be safe and where they need a closer look.</description><pubDate>Wed, 22 Apr 2026 00:00:00 GMT</pubDate></item><item><title>Why partial credit matters more in math than in almost any other subject</title><link>https://markscanner.ca/blog/partial-credit-in-math/</link><guid isPermaLink="true">https://markscanner.ca/blog/partial-credit-in-math/</guid><description>Final-answer-only grading throws away the signal math teachers care most about — the steps. A short argument for keeping partial credit central to how we mark handwritten work.</description><pubDate>Tue, 21 Apr 2026 00:00:00 GMT</pubDate></item></channel></rss>