Published April 27, 2026

Ann Arbor, MI — LearningClues, a course-grounded curriculum intelligence layer, today announced it has joined the Unizin Partner Program.  The new partnership enables Unizin’s 16 member institutions to explore pilot deployments and collaborative design projects for applying LearningClues AI-powered tools to their existing course materials, as well as opportunities to integrate LearningClues data with the Unizin Data Platform (UDP). 

Connecting Classroom Activity to Program-Level Insight

LearningClues transforms LMS course content into citation-backed study support, adaptive practice, and instructor insights aligned with learning objectives. By operating entirely within institution-owned course materials, including LMS content, lecture recordings, and assignments, LearningClues ensures outputs are accurate, explainable, auditable, and aligned with faculty-defined learning objectives. Faculty retain full control over how their course content is used, and institutional data is never used to train or improve external AI models.

Beyond supporting teaching and learning at the course level, LearningClues also supports institutional program review and accreditation by structuring course content around learning objectives and linking it to student interactions and assessments, creating a continuously updated, evidence-based record of learning aligned to program outcomes. This is enabled by automated analysis of existing course materials and LMS content, allowing LearningClues to map content to outcomes without requiring faculty to manually tag or restructure their resources. 

Built for the Unizin Data Ecosystem 

For Unizin members, LearningClues is designed to operate alongside the Unizin Data Platform (UDP), converting course-level data into structured, queryable representations of learning that can be analyzed across institutional systems to support learning analytics, curriculum mapping, and research. 

The platform supports enterprise interoperability standards, including LTI 1.3, enabling seamless integration with existing LMS environments. LearningClues aligns with institutional data governance requirements, including FERPA, and maintains a SOC 2–aligned security posture, supporting secure deployment within enterprise IT environments. 

As part of the Unizin Partner Program, institutions can engage LearningClues through their existing Unizin relationship, streamlining procurement and reducing administrative overhead.

“Unizin has built the foundation for a shared digital learning ecosystem,” said Perry Samson, CEO of LearningClues and emeritus professor at the University of Michigan. “LearningClues builds on that foundation by turning course content into a course-grounded curriculum intelligence layer and system of record for learning—giving institutions the ability to answer program-level questions instantly—such as where learning outcomes are taught, assessed, and supported with evidence—without increasing faculty workload.”

“There is no escaping AI in higher education,” said Bart Pursel, CEO of Unizin. “Our new partnership with LearningClues provides our members with the opportunity to focus AI’s massive capabilities within the context of a college course, trained on learning content developed on campus by faculty experts to advance the objectives of students, faculty, and institutions.”

From Teaching Support to Institutional Evidence of Learning

For Unizin members, LearningClues enables cross-course and cross-program insights into student learning to support institutional decision-making and evidence-backed curriculum design.

Because LearningClues leverages existing course materials already housed in LMS platforms and lecture capture systems, faculty do not need to change existing workflows. Instructors can access analytics to help identify where students struggle and how effectively learning objectives are being taught.

LearningClues continuously assesses student understanding using course-specific content to deliver targeted practice aligned with instructor-defined objectives—without requiring new question banks. Students interact with AI grounded in their course materials and fully cited (page or timestamp), ensuring responses remain accurate, auditable, and course-specific. In practice, this means students can receive targeted, course-specific practice based on lecture content, instructors can see where students are struggling relative to learning objectives, and institutions can trace how those objectives are taught and assessed across courses.

At the institutional level, LearningClues transforms program review and accreditation by structuring course content around learning objectives and linking it to student interactions and assessments. This creates a continuously updated, evidence-based record of learning, with emerging capabilities to provide a traceable audit trail from program-level outcomes to the specific course materials—such as lecture segments and assignments—where those outcomes are taught and assessed. The platform automatically maps course-level objectives to program outcomes and surfaces underlying evidence, giving institutions on-demand access to a structured, persistent, and queryable system of record for learning across courses and programs—while significantly reducing reporting burden.

Learn more at www.LearningClues.com