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AI-Powered Teaching: Practical Tools for Community College Faculty

Faculty Focus

Drawing on the scholarship of teaching and learning (SoTL), it argues that AI can enhance accessibility and efficiency while preserving the human essence of education. The 18th-century Jaquet-Droz automatamechanical dolls mimicking human actionsfurthered this vision (Riskin, 2016). This echoes Karel apek’s R.U.R.

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CU Boulder announces AI master’s degree on Coursera for under $16,000 — no application required

Coursera blog

A masters in artificial intelligence will empower students to design ethical, responsible machine learning solutions that scale across platforms from healthcare and finance to social media and robotics.

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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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AI is transforming higher ed: What you need for compliance and governance

University Business

As colleges and universities consider these issues, note that “artificial intelligence” generally encompasses a broad range of technologies and systems designed to perform tasks that typically require human intelligence, such as learning, reasoning, and problem-solving; AI systems like this are not new or uncommon.

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“Beyond the Buzz” Webinar Wrap-Up: Harnessing the Power of AI in Higher Education  

Liaison International

Deep learning” in action Andy Hannah , president of Othot, Liaison’s AI and data science solution, helped kick things off by providing a comprehensive overview that challenged participants to expand their view of what AI entails. However, he also pointed out that the implementation of AI is not without ethical considerations.

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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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Google’s Gemini: is the new AI model really better than ChatGPT? - Michael G. Madden, Money Control

Economics and Change in Higher Education

The performance of deep learning models is generally driven by increasing model complexity and amount of training data. This has led to the question of how further improvements could be achieved, since we have almost run out of new training data for language models.

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