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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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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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A Beginner’s Guide to AI in Annual Giving

EAB

Blogs A Beginner’s Guide to AI in Annual Giving What you need to know and how to start using it in your advancement strategy With each passing day, Artificial Intelligence (AI) is becoming a more prominent topic of discussion for advancement leaders. What Every Cabinet Leader Needs to Know about AI How will AI transform higher education?

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20 Citizen Science Projects for Students of All Ages

Experiential Learning Depot

All they need is a computer or phone. One of my favorite things about this website is its blog. The blog articles illuminate the impact of citizen science on our understanding of the world. They put a strong emphasis on integrating technology, so much so, that they will provide iPhones to your students for this project.

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4 AI priorities for enrollment leaders

EAB

Blogs 4 AI priorities for enrollment leaders ChatGPT and the other “new AIs” caught even the most expert of industry watchers by surprise, and fully understanding their potential impact will take some time. That said, forward-thinking practitioners in every field are wasting no time putting this new toolkit to work, often to startling effect.

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AI/ML in EdTech: An Incomplete Inventory

eLiterate

They have limitations that are both technology- and problem-domain-specific. ” Writing an algorithm that uses this information to quiz students and then adjusts its strategy based on how well the students perform is a relatively straightforward, effective, and safe application of the technology. AI and ML are not magic.