AI-Enabled Teaching Tool for Engineering Courses
Overview
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SUMMARY
KEY REQUIREMENTS
CONTRACT DURATION
TIMELINE
Deadline for Questions: August 7th, 2026
Posting Addendum and Response to Inquiries: August 12th, 2026
Deadline for Receipt of Proposal: August 27th, 2026
Evaluation of Proposals Completed: September 2026
Award: September/October 2026
QUESTION DEADLINE
CONTACTS
Primary procurement contact — name, title, email, and phone
Additional decision-makers and their departments
Issuing Agency
Texas A&M University
DESCRIPTION
The university seeks a vendor to provide an artificial intelligence-enabled teaching tool for engineering courses. The solution must be delivered as a web-based or cross-platform software application that enables faculty to create, organize, modify, and deliver curricular content.
The platform must support the import and export of course materials in standard digital formats, as well as the import and export of existing videos for student learning and integration with video platforms. It must include a reporting dashboard or analytics module that provides meaningful, actionable information on system usage, including faculty engagement, student time-on-task, and student engagement indicators.
The system must retain historical usage data to support longitudinal analysis of learning outcomes across course sections and academic terms. The contractor must also provide API documentation enabling university technical staff to build integrations independently, including endpoint specifications, authentication methods, rate limits, and sample queries. Questions must be submitted by August 7, 2026.
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Frequently asked questions
- When is the submission deadline?
- Submissions are due August 27, 2026. Questions must be submitted by August 7, 2026.
- Who issued this RFP?
- It was issued by Texas A&M University. The work is located in College Station, Texas, United States.
- Who is a good fit for this opportunity?
- EdTech software provider with AI-enabled learning platform expertise
- Experience supporting engineering or higher-education course delivery
- Proven capabilities in content management, video integration, and learning analytics
- Strong API development and technical documentation capabilities
- Experience providing secure, scalable web-based or cross-platform applications to universities
Analysis generated by Settle AI from the source RFP.
RFP Hunter shows what is open. Settle shows what is forming.
Settle pieces together buyer signals, budgets, contract activity, and the sources your team already monitors. See why an opportunity fits and what to do before the RFP posts.