New attitudes toward the metaverse and artificial intelligence are changing how we conceptualize and engage with learning spaces.
We spoke with OER advocate David Wiley about why generative AI is the logical successor to OER, AI's impact on instructional design, exciting AI developments on the horizon, and why it's too early for universities to write policies for generative AI usage.
Microsoft has entered into a multi-year partnership with French AI startup Mistral AI to advance the development and deployment of next-gen LLMs. The collaboration marks a milestone on the road to bridging the gap between cutting-edge research and tangible, real-world AI applications, the companies said.
In Cengage's annual digital learning pulse survey, roughly 95% of two- and four-year higher education administrators, faculty, and trustees responded that they expect generative AI tools to change their institution over the next five years.
Artificial intelligence will make research management smarter, easier to use, and more valuable — enabling quicker, better decisions for both researchers and administrators.
The Southern Regional Education Board (SREB) has established a new Commission on Artificial Intelligence and Education, convening "leaders in education and business to chart a course for how AI is used in classrooms and how to prepare a workforce that is being transformed by technology."
The University of Kentucky has taken a transdisciplinary approach to developing guidelines and recommendations around generative AI, incorporating input from stakeholders across all areas of the institution. Here, the director of UK's Center for the Enhancement of Learning and Teaching breaks down the structure and thinking behind that process.
A new feature in ChatGPT will let users control what and how much it remembers from conversation to conversation — and also what it forgets.
The University at Albany (UAlbany) will be the first higher education institution anywhere to install the prototype IBM Artificial Intelligence Unit (IBM AIU) computing chip designed to run and train deep learning models faster and more efficiently than a general-purpose CPU.
According to a report by IDC, the market for PC systems with specific AI computing capabilities built into the hardware is expected to jump by 60 percent over the next three years.
