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ChatGPT in the Co-creation Process for Applied Research Projects 

Faculty Focus

Large language models 1 Large language models (LLMs) like ChatGPT are complex algorithms developed through a type of machine learning called deep learning. Neural networks and deep learning allowed more sophisticated understandings of language. Word embedding led to better understanding of context.

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Native Son Propels Opportunities for Kentucky Students

Diverse: Issues in Higher Education

On the panel, “Selecting Evidence-Based Advising Strategies to Improve Student Outcomes,” Thompson spoke about equity being a top priority, noting that, if higher education does not serve its most disenfranchised populations, then it is failing. Higher education is about deep learning,” Thompson says.

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The F Word

Inside Higher Ed

Support students with technology-enabled advising. What administrators can transform are infrastructure, organizational design, professional advising, information collection, and messaging, and that’s what EAB’s playbook focuses upon. Take, for example, EAB’s 2021 Student Success Playbook.

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ChatGPT in the Co-creation Process for Applied Research Projects 

Faculty Focus

Large language models 1 Large language models (LLMs) like ChatGPT are complex algorithms developed through a type of machine learning called deep learning. Neural networks and deep learning allowed more sophisticated understandings of language. Word embedding led to better understanding of context.

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Your prior learning on Coursera may help you complete your bachelor’s degree at UNT

Coursera blog

Recognition of prior learning can help you lower the cost and complete your degree faster based on the number of credits approved upon enrollment.¹ Students also have access to premium student support services including 1:1 academic advising, mentoring, career counseling, and more. The UNT B.A.A.S The UNT B.A.A.S

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Pioneers discuss the challenges facing computer science

Inside Higher Ed

On the AI subtopic of deep learning alone, more than one preprint was submitted every hour—a 1,064-fold increase from the 1994 rate. “As data-hungry models become the dominant trend in deep learning, what we see is that that incentivizes a certain kind of social phenomenon,” Vallor said.

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What would a second Trump administration mean for higher education? Summing up Project 2025 (Bryan Alexander)

Higher Education Inquirer

There would be “a Science Adviser reporting directly to the Administrator in addition to a substantial investment (no fewer than six senior political appointees) charged with overseeing and reforming EPA research and science activities.” (436) universities” and it’s hard not to see this as a call for reducing that number.