The Unpredictability of Predictive Analytics 2.0
How are the tools and practices of predictive analytics being used, how can they be better used, and how can institutions understand their own progress with analytics?
How are the tools and practices of predictive analytics being used, how can they be better used, and how can institutions understand their own progress with analytics?
Even though the work required to yield significant results in institutional analytics is hard and the journey long, the cost of doing nothing is no longer an option for most higher education institutions.
The e-learning enrollment growth and the OER movement represent a significant opportunity for community colleges to bridge the digital divide and further student success.
Open-source interactive textbooks, which are aligned with the values of academia, allow both instructors and students to take ownership of their educational resources.
Technological leaders must draw on the strengths of both the proponents and the skeptics in our communities to ensure that institutional mechanisms are in place to examine the overall efficacy of learning analytics systems.
CIOs are responsible for translating technology into everyday language and communicating the benefits and limitations of technology to the president and other members of the institution management team.
With predictive analytics, colleges and universities are able to “nudge” individuals toward making better decisions and exercising rational behavior to enhance their probabilities of success.
The grand challenge in data-intensive research and analysis in higher education is to find the means to extract knowledge from the extremely rich data sets being generated today and to distill this into usable information for students, instructors, and the public.
Analytics progress in higher education is moving slowly, at best. How can colleges and universities mature their analytics capabilities without working twice as hard?
EDUCAUSE Technology Research in the Academic Community studies track student and faculty experiences with technology to help IT leaders improve IT services and their delivery on campus.