Iowa State University Ionwave #RFQ-1001483

Iowa State University Solicits Campus-Wide Lecture Capture Software Solution

Iowa State University of Science and Technology (ISU) is seeking proposals for a campus-wide lecture capture software solution to support all instructional modalities. - Government Buyer: Iowa State University of Science and Technology (ISU) - Products/Services Requested: - Comprehensive lecture capture software platform - Must support automated and ad-hoc lecture capture - Deep integration with Canvas LMS (LTI 1.3, course/user provisioning, roster sync, embedded playback, gradebook sync, analytics) - Accessibility compliance (WCAG 2.1 Level AA, Section 508) - Scalable to multiple classrooms - Support for both hardware and software capture (Windows/Mac desktop apps, dedicated appliances) - Cloud-based storage, advanced permissions, closed captioning (including 3Play), descriptive audio, metadata tagging, search - SSO (Azure), Extron, Microsoft Teams, API/webhook integration - Data security: FERPA compliance, encryption, breach notification - Robust analytics and reporting - Implementation and migration services (from current platforms such as Panopto, Echo360) - Training for staff and faculty - 24/7 technical support and ongoing maintenance - Unique/Notable Requirements: - Completed VPAT for accessibility and HECVAT for cloud assessment - Insurance coverage as specified in RFP - Potential consolidation from two current lecture capture services to a single platform - No specific OEMs or vendors named; open to all qualified providers - Contract Details: - Initial term of three or five years, with annual payments and possible one-year extensions - Implementation and training to begin six to nine months prior to go-live

Description

Iowa State University of Science and Technology (ISU) is soliciting proposals from qualified vendors to provide a comprehensive lecture capture software solution to support in-person, hybrid, and online instruction. The solution should support automated and ad-hoc lecture capture, integrate with the institution's LMS, meet accessibility and compliance standards, scale across multiple classrooms and delivery modes, and provide reliable analytics and reporting. The university currently supports two main lecture capture services and aims to potentially reduce this to one service. The anticipated go-live date for the selected platform is August 13, 2027, with implementation and training to begin six to nine months prior.

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