Enjoy these free resources that explore the role of artificial intelligence and machine learning within academic program evaluation and management.
Gray 2023 Master Class Series: Session 3
Learn how to use predictive analytics to model the impact of program decisions on your institution’s future. Using demographic data and market trends, we will demonstrate how to project the size and growth of programs in a proposed portfolio. Using predictive scenarios, we will show how to evaluate the effects of program decisions on your institution’s bottom line.
Unlock the secrets of the rapidly growing field of Artificial Intelligence in higher education. From master’s degrees to online courses, we uncovered the latest student demand trends and how institutions are responding to the advancements in AI. Learn the potential for early market entry and explore the various opportunities available in this expanding field.
We’ve seen an explosion of AI-related courses and programs across higher education, mainly within engineering and computer science departments, but AI isn’t just for “left-brainers.” Artists, musicians, and other “right-brain” aficionados are using AI to enhance the creative process and even generate new creative works. While creative AI still has a long way to go, it’s clear that AI technology will have to be considered in the workforce and in educating students.
University leaders are seriously planning for the post-COVID world. This world will differ significantly from the old, familiar one. The possibilities for restructuring academic activities
The importance of envisioning future course and program portfolios will be familiar to readers of my recent blogs. Provosts, deans, and others responsible for academic
Hear from Robert G. Atkins on how Gray is using advanced machine learning to facilitate academic program evaluation and management.