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Innovative Courses

Across the country, predoctoral interdisciplinary research training programs receive support from IES to collectively produce a cadre of education researchers capable of and willing to conduct a new generation of methodologically rigorous and educationally relevant scientific research. The following courses represent new approaches to education as an evidence-based field.

Carnegie Mellon University:
Educational Goals, Instruction, and Assessment; Project Assignment
Research Methods for the Learning Sciences
Seminar on Scientific Research in Education

Michigan State University:
Advanced Economic and Econometric Applications to Education Research I
Advanced Economic and Econometric Applications to Education Research II

Northwestern University:
Design and Analysis of Social Experiments with Cluster Randomization
Field Methods
Multilevel Models
Regression Analysis in Human Development

University of Minnesota:
Advanced Measurement: Theory and Application (Part I)
Advanced Measurement: Theory and Application (Part II)
Curriculum and Course Descriptions
Education Sciences Proseminar

University of Virginia
Causal Inference in Education Policy Research
Data Management for Analysis

University of Wisconsin-Madison:
Research Practicum on Mixed Methods Analysis
Randomized Trials to Inform Education Policy
Interdisciplinary Training Seminar in Education Sciences:
Fall 2007, Causal Inference in Education Research: Experimental and Econometric Approaches
Fall 2008, Race/Ethnic Inequality in Education: Causal Mechanisms and Tested Responses
Fall 2009, Applications of Psychological Science to Inform Educational Practice
Fall 2010, Education and Health: Causes and Consequences
Fall 2011, Teachers
Fall 2012, The Mediation of Causal Effects in Education
Fall 2013, Contextual Effects
Fall 2014, Educational Program and Policy Implementation


Training Programs are encouraged to send course syllabi to for posting.