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This Government Contract opportunity from Missouri was posted on June 12, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

NCLEX Readiness & Adaptive Testing Engine

Closed
State & Local

Contract Overview

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The contract focuses on supplying and maintaining an adaptive testing engine designed to prepare students for the NCLEX exam. The system will include comprehensive question banks aligned with NCLEX standards, tools for tracking individual performance, and personalized remediation pathways to support targeted learning and improvement. This solution aims to enhance readiness for nursing licensure by offering a tailored, data-driven testing experience. Issued by Metropolitan Community College in Missouri, the contract is categorized under a subcontract opportunity with NAICS code 611630, relating to educational services. The solicitation was posted on June 12, 2026, with a response deadline set for June 30, 2026. While specific details about the place of performance and point of contact are not provided, interested parties can access further information through the agency’s public purchase portal.

General Info

Supply and maintain adaptive NCLEX testing engine with personalized remediation for Missouri college students.

Place of Performance

MO, USA

Set-Aside

NONE

Documents

This scope was carved out of 27-7748.

The full solicitation package (2 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Evidence-Based Nursing Education & NCLEX Preparation Platform

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyMissouri → Metropolitan Community College
ContactsNo contacts available
OfficeN/A
Office AddressN/A
ContactsNo contact information available

Full Description

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Supply and maintain an adaptive testing engine aligned with NCLEX standards, including question banks, performance tracking, and personalized remediation pathways.

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Keith Deutsch
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