The Campus Computing Project Founder to Launch New Study on AI, Virtual Classrooms

How will artificial intelligence, next-generation virtual classrooms, and other emerging technologies impact the future of higher education? A new research project from The Campus Computing Project founder Casey Green will examine "the potential for these technologies to significantly transform teaching, learning, and instruction in academic and instructional environments," according to an announcement released at the Educause Annual Conference.

The Campus Computing Project has a 30-year history of surveying CIOs and senior IT officers at colleges and universities across the country about the role of computing, e-learning, and information technology in American higher education. Launching this fall, the new eLearning 2.0 Project will "draw on campus conversations and a broad national network of campus officials" to "generate new data about how AI, next generation virtual classroom technology, and other emerging technologies will contribute to better institutional outcomes in areas such as academic integrity, curriculum, advising, career counseling, instructional design, support for faculty and students, and more," the announcement said. The research is sponsored by learning platform company Class Technologies.

"The emergence of AI and new virtual classroom technologies will be significant catalysts for change across all sectors of American higher education," said Green, in a statement. "Campus officials are eager for data and guidance that will benefit their institutions, faculty, and students. We are launching the eLearning 2.0 Project to provide timely data and insights to help academic institutions navigate an exciting and high impact future."

For more information, visit The Campus Computing Project site.

About the Author

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

Featured

  • large group of college students sitting on an academic quad

    Student Readiness: Learning to Learn

    Melissa Loble, Instructure's chief academic officer, recommends a focus on 'readiness' as a broader concept as we try to understand how to build meaningful education experiences that can form a bridge from the university to the workplace. Here, we ask Loble what readiness is and how to offer students the ability to 'learn to learn'.

  • abstract illustration of artificial intelligence

    CSU Shares AI Learnings in Systemwide Survey

    In a systemwide survey of more than 94,000 faculty, staff, and students, California State University recently documented widespread AI use across its 22 campuses.

  • data figures moving across a network

    Addressing the Cyber Skills Gap: Retention & Recruitment Secrets from Higher Education

    Institutions are working to ensure the retention and recruitment of top cyber talent by continually investing in professional development, fostering collaborative work environments, and equipping teams with the latest tools available to protect and defend against threats.

  • Abstract speed motion blur in vibrant colors

    3 Ed Tech Shifts that Will Define 2026

    The digital learning landscape is entering a new phase defined by rapid advances in artificial intelligence, rising expectations for the student experience, and increasing pressure to demonstrate quality and accountability in online education.