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The Forum on the Future of Public Education

The Forum on the Future of Public Education strives to bring the best empirical evidence to policymakers and the public.

The Forum draws on a network of premier scholars to create, interpret, and disseminate credible information on key questions facing P-20 education. The Forum pursues original research and facilitates collaboration between researchers and policymakers to examine the pressing issues shaping the future of public education. Key constituencies of the Forum include scholars who influence research, policy and practice; policy makers and policy making bodies at all levels; members of the media who influence public opinion; foundations, organizations, business groups and others who support, criticize and advocate for reform; and citizens who make choices about education for themselves and their children.

America is witnessing a drastic redefinition of the policies and practices associated with “public education.” Too often, discussions around the future of public education are strong on passion but short on actual evidence. The Forum for the Future of Public Education is filing that gap by building a resource of objective, research-based insights on key educational issues. We are establishing an open venue- a true public forum to debate controversial and consequential policy issues that will shape American’s future.

Latest News

Summer 2017 Course Announcement: EPSY 480 - Educational Statistics

by Julie Kellogg / May 8, 2017

SUMMER 2017 COURSE ANNOUNCEMENT
EPSY 480: Educational Statistics
Instructor: Dr. Youngshil Paek (ypaek2@illinois.edu)

Educational Statistics is designed for graduate and advanced undergraduate students pursuing an introduction to educational/behavioral statistics. The course aims to help students develop basic understanding and interpretation of statistics in education or the behavioral/social science literatures.  The course will cover descriptive statistics such as graphical representation of data, central tendency, variability, and correlation as well as inferential statistics such as hypothesis testing of means, regression, and goodness-of-fit testing.

This is an exclusively online course, with no official lecture time. The course runs this summer from June 12 – August 3. The course will include unit quizzes, a semester project applying the course concepts to a data set, and a final exam.