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idstack — Evidence-Based Course Design

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Overview

idstack audits course pages in Canvas LMS, Google Docs and on the web against instructional design evidence.

Evidence-based instructional design co-pilot for Canvas LMS, Google Docs, and course web pages. idstack brings empirical cognitive science and instructional design principles directly into your browser. Key Features: - Canvas LMS Course Audits: Analyze course syllabi, assignments, and module alignment directly from your active browser session with zero IT setup. - Bloom's Taxonomy Classification: Classify assignment cognitive demand and identify scaffolding gaps - T1–T5 Research Grounding: All suggestions ground ratings in 108 peer-reviewed empirical studies (constructive alignment, cognitive load, rubric transparency) - Course Dossier & Markdown Export: Collect audits across multiple pages and export a compiled institutional deliverable in 1 click. - Privacy & FERPA First: Zero student PII is collected or transmitted. Runs client-side with optional Google AI Studio BYOK.

Details

  • Version
    1.2.0
  • Updated
    October 10, 2026
  • Size
    37.96KiB
  • Languages
    English (United States)
  • Developer
    Philippos Savvides
    4513 N 82nd St Scottsdale, AZ 85251-1701 US
    Website
    Email
    savvides1@gmail.com
    Phone
    +1 602-326-2192
  • Trader
    This developer has identified itself as a trader per the definition from the European Union and committed to only offer products or services that comply with EU laws.

Privacy

Manage extensions and learn how they're being used in your organization

idstack — Evidence-Based Course Design has disclosed the following information regarding the collection and usage of your data. More detailed information can be found in the developer's privacy policy.

idstack — Evidence-Based Course Design handles the following:

Website content

This developer declares that your data is

  • Not being sold to third parties, outside of the approved use cases
  • Not being used or transferred for purposes that are unrelated to the item's core functionality
  • Not being used or transferred to determine creditworthiness or for lending purposes

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