7 Ed Tech Trends to Watch in 2018

What education technologies and trends will have the most impact in the coming year? We asked four higher ed IT leaders for their take.

Whenever we analyze the landscape of higher education technology, we find a range of trends in various stages of development. There are topics with real staying power, such as learning space design (which has factored into our trends list for several years). Others have evolved over time: Virtual reality made our list in 2016, then expanded to include augmented and mixed reality in 2017, and this year makes up part of a broader concept of immersive learning. And while some topics, like video, have been around for ages, new developments are putting them into a different light.

To help make sense of it all, we asked a panel of four IT leaders from institutions across the country for their thoughts. Here's what they told us.     

Our Panelists

Brian Fodrey
Assistant Dean for Facilities & Information Technology and Chief Information Officer, School of Government, The University of North Carolina at Chapel Hill

David Goodrum
Director of Academic Technology, Information Services, Oregon State University

Thomas Hoover
Chief Information Officer and Dean of the Library, University of Louisiana Monroe

Anu Vedantham
Director of Learning and Teaching Services for FAS Libraries, Harvard Library, Harvard University


1) Data-Driven Institutions

Brian Fodrey: In the age of big data, with leaders focused on making data-driven decisions, having a data and information management strategy in place in IT is no longer just a luxury, but quickly becoming a necessity.

A unified data standardization effort can make all systems and processes better and can be directly managed by assessing how data is collected, cleansed and ultimately stored. Employing a data in-information out mindset forces us to be strategic in why data is being requested, how it is solicited and the manner in which it will inform future offerings, services and/or systems enterprise-wide. Additionally, having reliable data sets also lessens the need for redundant collection points to exist at various application levels, and instead creates a more uniform and positive user experience.

Beyond the capturing and management of data, understanding and recognizing the diversity in where and how all constituents at an institution are consuming various data sets can also lead to learning more about those who value our information, utilize our services and influence how we collect data in the future.

Thomas Hoover: Data and big data have been buzzwords — rightfully so — for the last several years. Universities are making great progress when it comes to using data to help with retention and student success. However, there is still much room for improvement to take advantage of data-driven decision-making across the entire campus.

For instance, data can be used to determine if classrooms are being utilized optimally before new construction projects are kicked off. It can and should be used to determine if aging computer labs should be renewed or transformed into something that is more useful to the university. Efforts like these can not only streamline campus operations, but also ensure that we are making most of the resources we have in the service of teaching and learning.

Another area where data can be used more is GIS data. Historically, GIS data has primarily been used in the hard sciences — but that same data could be analyzed in practically any class on a college campus. Think history, political science, criminal justice, urban planning — there is so much data out there, and we can all do a better job of using it.


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