Add as a preferred source on Google


U Akron Migrates to D2L eLearning Suite

The University of Akron is replacing its previous learning management system with Desire2Learn's Enterprise eLearning Suite. The move is designed to facilitate both online and Web-enhanced delivery of courses.

"University of Akron students, faculty and staff reviewed several learning management systems, and unanimously chose Desire2Learn," said John R. Savery, director of learning technologies and scholar/learner services for U Akron. "Clearly, Desire2Learn will best allow our professors to enhance online learning environments, in turn further enhancing the educational experience for our students."

The University of Akron serves about 25,000 students and is part of the University System of Ohio.

In other D2L news, the company also announced recently that the South Dakota Board of Regents (a higher education governing body) has also chosen Desire2Learn's Enterprise eLearning Suite to its more than 32,000 students. SDBOR comprises six universities and three higher education centers.

Read More:

About the Author

David Nagel is the former editorial director of 1105 Media's Education Group and editor-in-chief of THE Journal, STEAM Universe, and Spaces4Learning. A 30-year publishing veteran, Nagel has led or contributed to dozens of technology, art, marketing, media, and business publications.

He can be reached at [email protected]. You can also connect with him on LinkedIn at https://www.linkedin.com/in/davidrnagel/ .


Featured

  • student reading a book with a brain, a protective hand, a computer monitor showing education icons, gears, and leaves

    4 Steps to Responsible AI Implementation

    Researchers at the University of Kansas Center for Innovation, Design & Digital Learning (CIDDL) have published a new framework for the responsible implementation of artificial intelligence at all levels of education.

  • three glowing stacks of tech-themed icons

    Research: LLMs Need a Translation Layer to Launch Complex Cyber Attacks

    While large language models have been touted for their potential in cybersecurity, they are still far from executing real-world cyber attacks — unless given help from a new kind of abstraction layer, according to researchers at Carnegie Mellon University and Anthropic.

  • Hand holding a stylus over a tablet with futuristic risk management icons

    Why Universities Are Ransomware's Easy Target: Lessons from the 23% Surge

    Academic environments face heightened risk because their collaboration-driven environments are inherently open, making them more susceptible to attack, while the high-value research data they hold makes them an especially attractive target. The question is not if this data will be targeted, but whether universities can defend it swiftly enough against increasingly AI-powered threats.

  • magnifying glass revealing the letters AI

    New Tool Tracks Unauthorized AI Usage Across Organizations

    DevOps platform provider JFrog is taking aim at a growing challenge for enterprises: users deploying AI tools without IT approval.