Name | Type | Posted | Actions |
|---|---|---|---|
RFI - Moodle Upgrade with associate Contractor Support_MAY2026_FINAL.pdf | Jun 2, 2026 |
Moodle Learning Management System (LMS) Modernization
Contact and place of performance
Shimere Cooper
Arlington, VA 22209
USA
The Government is conducting market research to assess industry capabilities for the modernization of its Moodle Learning Management System (LMS). The Agency seeks to explore solutions that will advance the effectiveness, efficiency, and scalability of its learning environment while supporting evolving mission requirements. Areas of interest include system modernization, enhanced learner and administrator experiences...
View moreThe Selective Service System has issued this Special Notice to conduct market research for the modernization of its Moodle Learning Management System (LMS). The agency seeks to identify industry capabilities for upgrading its digital learning ecosystem to improve workforce training delivery, scalability, and mission effectiveness. Key areas of interest include system modernization, enhanced experiences for learners and administrators, improved analytics, and integration with existing enterprise applications. The government also intends to explore cybersecurity enhancements, automation, and the application of emerging learning technologies within the platform.
This Request for Information (RFI), identified by solicitation number 90MC00_0004, aims to inform the development of an acquisition strategy for a potential future modernization effort. The project falls under NAICS code 541512 for Computer Systems Design Services and does not currently have an assigned set-aside. One attachment, a PDF titled RFI - Moodle Upgrade with associate Contractor Support_MAY2026_FINAL.pdf, was included with the notice published on June 2, 2026.
Responses to this market research inquiry are due by June 30, 2026. The primary point of contact for this requirement is Shimere Cooper, and the anticipated place of performance is Arlington, Virginia. Information gathered through this process will assist the Selective Service System in evaluating available market solutions to meet both current and future workforce learning requirements.
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