Emerging Tech Challenges

What keeps higher ed technology leaders up at night?

At Campus Technology's 2008 Executive Summit held in Boston this past summer (sponsored by CDW-G), moderator John Camp used audience polling from Turning Technologies to survey 50 IT leaders from diverse institutions and gauge the impact of emerging technologies on their campuses and on their evolving roles.

Who's Pushing New Technologies?. Response to the question "Who do you think is primarily pushing new technologies in higher education?" revealed students as the drivers (44%), but additional polling showed that IT leaders focus on wider institutional priorities even as they react to student expectation and demand.

Trendspotter

Challenges What are the challenges surrounding the deployment of emerging technologies? Participants suggested their own categories, and as a group ranked the following, among other criteria (right): • Impact of technology on learning (30%) • Helping people (faculty, etc.) change (23%) • Keeping up with change (15%) • Changing criteria for evaluating scholarly teaching and learning (5%)

Trendspotter

Additional Challenges In a ranking of "additional" challenges, participants singled out planning for innovation (48%) as the most significant challenge.

BOTTOM LINE: What were participants' "top challenges" overall? The following were worth heading into afternoon workgroup sessions for, according to the polls:

  • Driving IT toward institutional goals
  • Mass customization of learning
  • Planning for innovation
  • Impact of technology on learning

Trendspotter

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.