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AI-Powered Adaptive Assessment Engine Development

Active

State & Local

Response Deadline08/27/2026, 07:00:00 PM UTC

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

AI Contract Overview

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Texas A&M University is soliciting a subcontract to design and develop an AI-powered adaptive assessment engine that dynamically generates personalized evaluations based on individual student performance data. The module must integrate seamlessly with existing learning management systems to deliver real-time, tailored assessments that adjust in difficulty and content based on learner responses, enhancing educational outcomes through intelligent personalization. The project requires technical expertise in artificial intelligence, data analytics, and LMS interoperability, with all work to be completed and delivered by the response deadline of August 27, 2026. The contract falls under NAICS code 541512 for custom computer programming services and is open to qualified subcontractors willing to meet the performance and integration requirements outlined in the solicitation, accessible via the provided online portal.

General Info

Design AI-powered adaptive assessment engine integrating with LMS, delivery deadline August 27, 2026.

Agency

Texas A&M UniversityView Agency

NAICS

541512 - Computer Systems Design ServicesView NAICS

Place of Performance

Not specified

Set-Aside

NONE

Documents

(0)

No documents available

AI Contract Breakdown

Uniform Contract Format

No contract breakdown available.

Cannot generate Contract Breakdown because no documents were found from this contract's source.

Timeline

PostedJul 31

subcontract

Response DeadlineAug 27

Submission deadline

Response Deadline

08/27/2026, 07:00:00 PM UTCin 26 days

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Organization & Contact Information

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AgencyTexas A&M University

ContactsNo contacts available

OfficeN/A

Organization / Agency

Texas A&M University

View Agency Profile

Office AddressN/A

ContactsNo contact information available

Full Description

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Design and develop a module that generates dynamic, personalized assessments based on student performance and integrates with existing LMS platforms.

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