The Top 10 IT Issues and the Future of Learning Logistics
When looking at this year's Top 10 IT Issues, we can see the leading indications of how learning logistics is changing culture, policy, and understanding on campus.
Kyle Bowen is Enterprise Deputy CIO at Arizona State University where he is responsible for enabling how the ASU community experiences technology to learn, work and thrive. A self-described storyteller, Kyle is passionate about transforming education with a learner and student-centered approach. He was previously the director of innovation for teaching and learning with technology at Penn State University. By collaborating across the institution, he advanced faculty professional development, space design, learner creativity, and data science efforts. Kyle also formerly served as the director of learning informatics at Purdue University, a role that shaped the university’s strategy to improve student attainment through award winning emerging technologies. Kyle is an entrepreneur, teacher, and regular speaker on innovations in higher education. Co-author and editor of more than 20 books on design, development, and usability, his past work has appeared in the New York Times, USA Today, and the Chronicle of Higher Education.
When looking at this year's Top 10 IT Issues, we can see the leading indications of how learning logistics is changing culture, policy, and understanding on campus.
Colleges and universities increasingly provide central convening spaces where innovation, learning, ideation, and business creation all converge. These centers typically include physical environments for co-working, often including offices, makerspaces, and lab facilities. Services might include access to conference facilities as well as free Wi-Fi and printing. These centers provide a fertile environment where many of higher education’s interests converge, and they can serve as both classroom and laboratory for the development of business and workplace skills.
The term artificial intelligence (AI) refers to computer systems that undertake tasks usually thought to require human cognitive processes and decision-making capabilities.
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