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X-WR-CALDESC:Events for Open Education Week
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DTSTART;TZID=America/Los_Angeles:20260304T080000
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DTSTAMP:20260516T165403
CREATED:20260218T061245Z
LAST-MODIFIED:20260218T061245Z
UID:10003511-1772611200-1772614800@oeweek.oeglobal.org
SUMMARY:Be Popular Series (Part 2 of 3) –  Using the Free ADAPT Homework System
DESCRIPTION:Explore ADAPT\, the OER homework system offered and supported by LibreTexts\, which integrates with Canvas LMS. This workshop from San Diego Community College District will guide you through creating a course in ADAPT to host homework activities and linking them to Canvas for seamless integration of graded assignments in your online courses. You’ll learn how to create your own homework questions\, upload QTI files with pre-made questions\, or use interactive activities like H5P\, MyOpenMath\, and more!
URL:https://oeweek.oeglobal.org/activity/using-adapt-homework-system/
LOCATION:San Diego\, United States\, San Diego\, CA\, United States
CATEGORIES:Open Education Resources,Open Repositories,Open Source Platforms,Tools and Techniques
GEO:32.715738;-117.1610838
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260304T110000
DTEND;TZID=America/Los_Angeles:20260304T120000
DTSTAMP:20260516T165403
CREATED:20260218T221859Z
LAST-MODIFIED:20260218T221859Z
UID:10003520-1772622000-1772625600@oeweek.oeglobal.org
SUMMARY:LibreTexts ADAPT: Homework Reimagined
DESCRIPTION:ADAPT\, LibreTexts’ open homework and assessment platform\, is designed to do exactly that. Join our Founder and Executive Director\, Delmar Larsen\, for a guided tour of everything ADAPT has to offer: \n– 240\,000+ openly licensed questions\n– Adaptive Learning Trees and personalized learning models\n– Built-in analytics and an Early Warning System powered by predictive analytics\n– Seamless LMS integration with Canvas and Blackboard\n– Mobile clicker functionality right in your classroom\n– Support for WebWork\, IMathAS\, H5P\, and Native QTI \nADAPT is built to be more powerful than traditional publisher platforms and more affordable. Because the cost of a homework platform should never be a barrier to student success. \nThis is open education in action. Come see what it looks like.
URL:https://oeweek.oeglobal.org/activity/libretexts-adapt-homework-reimagined/
LOCATION:Davis\, United States\, Davis\, CA\, United States
CATEGORIES:Digital Skills,Equity and Access,Open Education Resources,Open Repositories,Sustainability,Tools and Techniques
ATTACH;FMTTYPE=image/png:https://oeweek.oeglobal.org/wp-content/uploads/2026/02/ADAPT-v10-FINAL-scaled.png
ORGANIZER;CN="LibreTexts":MAILTO:info@libretexts.org
GEO:38.5449065;-121.7405167
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DTSTART;TZID=America/Los_Angeles:20260304T120000
DTEND;TZID=America/Los_Angeles:20260304T130000
DTSTAMP:20260516T165403
CREATED:20260225T065113Z
LAST-MODIFIED:20260225T065113Z
UID:10003580-1772625600-1772629200@oeweek.oeglobal.org
SUMMARY:ADAPT and AI: An Instructor's Success Story
DESCRIPTION:This session demonstrates practical ways to build and deploy homework in LibreTexts ADAPT using WeBWorK algorithmic problems. \nWeBWorK uses a complex Perl-based language called PG\, and writing questions in PG can be challenging. Most PG examples online focus on math\, physics\, and engineering. As a life science professor\, I want to bridge that gap by bringing algorithmic biology problems\, which are often more descriptive than numerical\, into LibreTexts ADAPT using WeBWorK. \nIn this session\, I will show new instructors how to use AI to turn a conceptual homework idea into a fully functional WeBWorK problem\, without needing to know how to code. The talk will demonstrate how large language model agents such as Claude Code and OpenAI Codex can produce working WeBWorK problems when given solid documentation and required to check output using a local renderer. \nA brief course case study will show how a problem concept can become a working WeBWorK assignment through an iterative workflow.
URL:https://oeweek.oeglobal.org/activity/adapt-and-ai-an-instructors-success-story/
LOCATION:Davis\, United States\, Davis\, CA\, United States
CATEGORIES:Artificial Intelligence,Digital Skills,Equity and Access,Open Education Resources,Open Repositories,Tools and Techniques
ATTACH;FMTTYPE=image/png:https://oeweek.oeglobal.org/wp-content/uploads/2026/02/ADAPT-v10-FINAL-1-scaled.png
ORGANIZER;CN="LibreTexts":MAILTO:info@libretexts.org
GEO:38.5449065;-121.7405167
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