This report is the first in a series to be issued at regular intervals as a part of the One Hundred Year Study on Artificial Intelligence (AI100). Starting from a charge given by the AI100 Standing Committee to consider the likely influences of AI in a typical North American city by the year 2030, the 2015 Study Panel, comprising experts in AI and other relevant areas focused their attention on eight domains they considered most salient: transportation; service robots; healthcare; education; low-resource communities; public safety and security; employment and workplace; and entertainment.
This list isn’t a ranking, and it’s by no means exhaustive. Consider it a snapshot of the various overlapping ways in which creative, passionate people around the U.S.A are working to make higher education more accessible, affordable, and effective.
Throughout the last academic year, we've followed a group of students who graduated from high school a few years ago. We spent the last year talking with them about their choice of public, private or community college. Was the cost worth it? What is the value of higher education? It turns out they're all satisfied customers. And among the most important subjects they report learning a lot about was themselves. Reconciling their plans and dreams with real life.
These frameworks offer teachers a structure for designing new learning experiences that stimulate inquiry, problem-solving, idea generation, and creativity. Whether students engage in empathy and define new problems via the design thinking process or present their learning to an authentic audience as the culmination of a PBL experience, they gain the opportunity to build that adaptive expertise required by this fourth industrial revolution.
In this new study we discuss the emerging challenges associated with credentialing given the increasingly diverse landscape of higher education. We then explore the specific risks and affordances related to two distinctive approaches to capturing meaningful signals from this “unbundled” (and increasingly digitized) landscape of higher education: first, unbundling credentials from the university degree, and second, moving beyond credentials to more direct data-based evaluations. Based on this discussion, we offer a few guiding principles for future development of an ideal infrastructure for managing credentials.
Colleges and universities are doubling down on learning analytics. They’re trying to figure out how to better use the rich data they’re increasingly capturing about their students and how to improve our collective understanding of the impact of analytics on teaching and learning.
Educational Innovation Weekly Reviewis curated by Tecnológico de Monterrey's Observatory of Educational Innovation. With the highlights of the week on innovation, technology and education. If you require more information about a specific note, please email us: email@example.com. TECNOLÓGICO DE MONTERREY, 2016.
Observatory of Educational Innovation
Tecnológico de Monterrey's Observatory of Educational Innovation: We identify and analyze the educational innovation trends that are shaping the future of learning and education.
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