Duke Adopts Canvas LMS, Credentials, and More to Power Lifelong Learning

Duke University is investing in Instructure's learning ecosystem, including Canvas LMS, Impact, Canvas Studio, and Canvas Credentials, to support learning experiences not just for current students and faculty, but also lifelong learners. The move is part of a strategic goal of "putting Duke on the map as a powerhouse for lifetime education," according to a news announcement.

"We're focused on creating accessible, affordable, high-quality educational opportunities that enable participation of diverse learners for a more just world," explained Yakut Gazi, vice provost for learning innovation and digital education, in a statement. "Our investment in Canvas is a foundational piece in enabling Duke to fulfill that vision."

"The Duke community consists of much more than currently matriculated students. It includes faculty, staff, alumni and potential learners interested in learning at our university," added Michael Greene, associate director of learning technology services and strategy at Duke. "We see Canvas as a way for anyone, regardless of their affiliation, to have access to learning experiences with Duke throughout their lifetime."

The university plans to utilize the Canvas platform to deliver learning experiences for undergraduate and graduate for-credit programs, co-curricular initiatives, alumni learning opportunities, non-credit learning for continuing studies, and more. Key criteria in the technology selection were the ability to accommodate multiple modes of access and a focus on ed tech innovation. "Duke's Fuqua School of Business and Duke University School of Medicine were early adopters of Canvas LMS, which instilled the university's confidence in Instructure as a partner and Canvas LMS as an extensible platform," the announcement said. "Having developed a strong ed tech ecosystem over the last decade, the university prioritized a long-term partner capable of innovating and meeting the unique needs of Duke students and faculty for years to come."

"We're looking forward to partnering with Duke to deliver a customized, innovative edtech experience to their community of educators and learners," said Melissa Loble, chief customer experience officer at Instructure. "A key piece of this vision is that learning extends past the four years in a classroom. Canvas will support Duke's core credit mission and provide versatile tools to support non-credit and co-curricular experiences. Moving forward, Duke will be able to offer a set of services to its faculty, departments and schools to help them achieve their respective goals outside of the 15-week course."

About the Author

Rhea Kelly is editor in chief for Campus Technology, THE Journal, and Spaces4Learning. She can be reached at [email protected].

Featured

  • shattered digital cloud with red warning alert icons

    CSA's Top Cloud Threats: Identity, AI

    Cloud Security Alliance's 2026 Top Threats report ranks identity first while adding two AI-related risks to its list of 11 leading cloud security concerns.

  • Data cybersecurity warning alert

    Flashpoint Patents Ransomware Risk Model, Tying Vulnerabilites to Likelihood of Attack

    Cybersecurity company Flashpoint recently announced it has received U.S. Patent No. 12,705,360 for its Ransomware Risk model, a methodology designed to help security teams determine which newly disclosed vulnerabilities more closely resemble those historically used in ransomware attacks.

  • young man hand working on a laptop, bokeh blurred at night

    Redesigned Copilot Will Build Apps and Work on Its Own

    Microsoft recently announced that it's redesigning Copilot, the company's all-encompassing AI assistant, so users can hand off complex tasks, build tools by describing what they need and assign work to an agent that keeps going after they log off.

  • A glowing digital brain with neural connections and light trails

    AI Giants Warn It May Be Time to Slow Down

    For years, leaders in the artificial intelligence industry have warned that increasingly capable AI systems could eventually become dangerous, all the while continuing to race to build them. Now, their sentiments have changed.