Skip to main content
Add as a preferred source on Google


Stanford Online Launches Immersive Learning Studio

  • By Matt Jones
  • 06/03/26

Key Takeaways

  • Stanford Online celebrated its 30th anniversary by launching a new immersive learning studio that combines VR, AR, and AI technologies to create more engaging and personalized educational experiences.
  • The studio provides faculty with advanced production tools — including a 4K LED wall, cinematic cameras, AI-enabled workflows, and extensive editing and storage infrastructure — to develop innovative learning content at scale.
  • University leaders see the studio as a major step toward expanding faculty-led, research-based education globally, leveraging AI and immersive technologies to reach learners in ways previously not possible.

Stanford Online recently marked its 30th anniversary with the announcement of a new immersive learning studio that takes advantage of AI-powered and immersive learning technologies to continue delivering personalized and faculty-led education.

The new facility allows faculty to create and customize educational experiences using VR, AR, and AI, the university reported. With Stanford Online having reached 22.4 million learners around the world since 2012, it now offers faculty the infrastructure to continue advancing learning methods to create immersive, personalized, and impactful experiences for students.

"This studio will enable us to create more immersive learning experiences, which we will pair with the evolution in AI to develop personalization in learning on a global scale," said Carissa Little, associate dean, Global and Online Education, Stanford School of Engineering and executive director.

The studio's amenities include a 20x12-foot 4K LED wall, cinematic cameras, and a greenscreen cyclorama; faculty and other content creators can merge live footage with digital environments in real time and implement AI-enabled workflows. The studio's dedicated control room allows for monitoring camera feeds, mixing audio, and cueing graphics. Finally, the nearby server room houses power for the video wall, five remote editing stations, and a 672-TB storage area network, the news release reports.

"Everything we do is faculty-led. The faculty teaching our courses are leaders in their fields. Their research and expertise drive innovation in technology development and knowledge discovery, which directly informs our curriculum," said Little. "The studio launch is a major milestone in our journey of continuous innovation in education, but it's also the beginning of a new chapter in our history. We're on the threshold of what is arguably the most consequential era in our history, where we now have the capability to extend research-based learning at a scale that was previously unimaginable."

About the Author

Matt Jones is senior editor of Spaces4Learning. He can be reached at [email protected].

Featured

  • robot hand holding stacks of coins

    Designing AI Systems for Financial Aid

    Financial aid offices have been slow to adopt AI, risking technological stagnation at a critical early student touchpoint. Systematic AI integration can improve student experiences and strengthen institutional positioning.

  • Businessman using laptop analyzing data and growth graph chart

    AI Budgets in Education Show No Sign of Decline

    The vast majority of education organizations (98%) expect their AI infrastructure budgets to either increase or hold steady over the next year, according to a recent report from cloud storage provider Wasabi.

  • illustration of people collaborating around large interlocking gears and data charts

    Why ERP and AI Initiatives Stall at the Execution Layer: A CIO Perspective

    Higher education institutions are investing heavily in ERP modernization, analytics, and AI-driven capabilities. Yet even with these investments, many are running into the same issue: turning insight into coordinated, timely action.

  • interconnected nodes with currency symbols

    Gartner: Half of Gen AI Projects Could Exceed Budget by 2028

    Organizations may be underestimating the actual cost of generative AI as they move from experimentation to production, according to Gartner's "10 Best Practices for Optimizing Generative and Agentic AI Costs" report.