The Repository @ St. Cloud State

Open Access Knowledge and Scholarship

Date of Award

5-2026

Culminating Project Type

Thesis

Styleguide

ieee

Degree Name

Information Assurance: M.S.

Department

Information Assurance and Information Systems

College

Herberger School of Business

First Advisor

Akalanka Mailewa

Second Advisor

Mark Schmidt

Third Advisor

Adriano Cavalcanti

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Keywords and Subject Headings

KXR, VR, Data Interoperability, LMS, LTI

Abstract

The integration of Extended Reality (XR) systems into education offers transformative potential for hands-on learning, accessibility, and scalability. However, securely interoperating XR systems with established Learning Management Systems (LMS) introduces complex challenges involving authentication, data integrity, compliance with FERPA, and secure data exchange. This thesis presents the design, implementation, and evaluation of a secure, FERPA-compliant interoperability architecture enabling seamless data communication between XR systems and LMS platforms.

The research objectives included enabling Single Sign-On (SSO) authentication, securely synchronizing data, and implementing an LTI 1.3–compliant workflow. The implemented system uses LTIAAS—a 1EdTech certified platform—to establish an LTI 1.3 connection with Skilredi LMS, combined with an intermediary secure server (“data-api”) that manages encrypted transitory data between the VR headset application and the LMS. Authentication is done via SSO with OAuth connected to institutional Active Directory, and the VR headset uses a user-friendly PIN-based authentication system. Testing validated successful grade passback and secure communication across all components.

The results demonstrate that secure, scalable, and standards-compliant XR–LMS interoperability is achievable using modern architectures and protocols. Future work includes expanding integrations to mainstream LMS platforms such as D2L Brightspace and Canvas, enhancing analytics, and conducting additional large-scale performance testing.

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