Survey: IT and Academics Don't Work Together Much

Campus IT is a disjointed effort at most campuses. For example, in more than four out of five colleges and universities, IT professionals report that they do not regularly develop joint plans with academic departments for IT initiatives. Nearly six out of 10 don't survey academic or research staff on IT needs; and more than six out of 10 lack a catalog of IT services. Perhaps that's why 57 percent of end users view IT as the "fix it" folks and just 22 percent say IT is considered a "trusted ally."

Nearly a fifth of all campus IT investments are actually made outside of centralized IT. If Educause's estimate of $21 billion in annual campus IT spending in the United States  holds true, that represents about $4 billion in "non-managed, non-measured" IT spending on campus each year. Along the same lines, respondents who were willing to provide an estimate said that 18 percent of all campus IT systems are redundant, tallying $3.8 billion annually in potential lost savings.

These are some of the results that came out of a survey of 152 higher ed IT people in June by MeriTalk, a government-focused Web site. The survey had a margin of error of plus or minus 7.92 at a 95 percent confidence level. The work was sponsored by virtualization company VMware and government solutions provider Carahsoft.

In the area of cloud computing, more than half — 53 percent — said cloud is "vital to their institution's future competitiveness." About 21 percent of the 2015 IT budget is expected to go to cloud initiatives. Among those who have deployed cloud services, the greatest level of satisfaction — 69 percent — is given to their cloud-based learning management systems. Sixty-seven percent said they are satisfied with their blended learning environments.

The biggest barriers to cloud adoption are security (44 percent expressed this as a concern); budgets (40 percent cited this as a concern); and cost and culture (which surfaced among 36 percent and 32 percent, respectively, as a concern). Reliability showed up at the bottom of the list; only 15 percent of respondents said they were worried about that aspect of cloud computing.

"The cloud campus has no boundary and no curfew," said Steve O'Keeffe, founder of MeriTalk. "If we're going to maximize progress, we need to break down the divide between IT and the business functions on campus."

Further results from the study are available with registration here.

About the Author

Dian Schaffhauser is a former senior contributing editor for 1105 Media's education publications THE Journal, Campus Technology and Spaces4Learning.

Featured

  • Abstract neural network 3D illustration

    Intel® AI EmpowerED: The AI-Ready Campus, Delivered

    Artificial intelligence is transforming higher education, prompting institutions to rethink how they manage infrastructure, security, governance, and workforce readiness. Successful adoption requires a strategic, institution-wide approach that aligns AI initiatives with educational goals, faculty enablement, and scalable operational frameworks.

  • digital brain with network connections

    Microsoft Moving to Internally Developed AI Models in Office Apps

    Microsoft is reportedly using its own in-house artificial intelligence models to handle some workloads in Excel and Outlook, offering new evidence that the company is moving its AI strategy beyond model development and into large-scale cost reduction.

  • woman surrounded by virtual hologram icons

    Beyond AI Adoption: Designing Learning for an Age of Abundant Intelligence

    Higher education was designed for a world in which access to knowledge, expertise, feedback, mentorship, and authentic learning experiences were inherently scarce. By making many forms of intelligence increasingly abundant, AI is inherently redefining the existing paradigm.

  • scientist using digital interface

    Anthropic, NVIDIA Move AI Agents Deeper into Scientific Workflows

    Anthropic has introduced Claude Science, a new AI workbench for scientists that integrates research tools, produces auditable artifacts, and connects to specialized life sciences models and workflows from NVIDIA.