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Creating a data-informed campus: part 2

EAB

Creating a data-informed campus: part 2. The need for data-informed decision making in higher education continues to increase. As I discussed in the first blog post in this series , institutions need a sufficient technology infrastructure to facilitate curation, access, and retrieval of data.

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The Metaverse explained for university leaders: challenges for universities ahead (3/4)

Dr. Simon Paul Atkinson

I received some negative feedback for comparing 3D Cinema and VR technology adoption curves. I stand by my contention that such technology developments need to take more account of user expectations, as well as their user experience. Demographic patterns play a huge part in any technological innovation.

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Landscapes of learning for unknown futures: presenter responses to audience questions

SRHE

Here the three presenters reflect on some of the ideas and issues raised during the first symposium on ‘Networks’. This blog has been compiled by Sam Elkington, Jill Dickinson, and Sinéad Murphy (SRHE Conferences and Events Manager.) Furniture is important; learning booths are popular in corridors as informal meeting places.

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AI and Assessment in Student Affairs

Student Affairs Assessment Leaders (SAAL)

For those interested in different generative AI tools that are text-based, a short list is included below: ChatGPT Bard Bing Chat Humata Scholar AI Scite Generative AI tools are based on large language models or LLMs that pull information from a vast collection of different sources on which they are “trained.”

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Explore Careers in Medicine & Healthcare this IAP!

CAPD

McGovern Institute’s Research & Technology Exhibition | Jan 22 nd , 23 rd , 25 th , and 26 th (1 day only) 10 am – 1:45 pm | McGovern Institute & MIT Museum Dates: January 22 nd , 23 rd , 25 th , and 26 th (attend only 1 day) | Time : 10:00 – 1:45 pm; includes lunch | Location : Meet at the McGovern Foyer, Main St.

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AI in Content Marketing: How Artificial Intelligence Is Transforming Higher Ed Marketing

HEMJ (Higher Ed Marketing Journal)

surrounding the technology is all about. For most people, ChatGPT was their introduction to large language model (LLM) AI, a technological advancement distinguished by several key features. These advanced features fundamentally alter how we can interact with machines and access information. Scale: LLMs are massive.

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Gamekeepers, poachers, policy wonks and knowledge

SRHE

HEPI ’s Nick Hillman may be a little biased here but this does present a real challenge to higher education researchers and the influence of their work. Many voices are needed to help inform policy but, as was clear at the event, this isn’t a simple case of finding one possible solution. Key to interdisciplinarity is integration.