First applied to the evaluation of scholarship programs, this quasi-experimental pretest-posttest design has become increasingly popular in recent years.
We wrap up the Causal Inference Bootcamp by looking at how the different techniques we've talked about can work together, and what choices you might have to make as you start your analysis of data.
There is a huge amount to cover in the history of education in the United States, so where should we start? This module covers some basic stepping stones to get you started on topics like the rationales behind public school systems, the struggles of teachers, how America has struggled to increase quality and opportunity in schools, how our advancements in science have changed how we educate our children, and why North Carolina is a good microcosm of national trends in education.
This module takes you through several examples of instrumental variables analysis, showing you how researchers deal with its strict requirements in different datasets.
Kindergarten was a revolutionary new set of educational ideas that shook up the established institutions. Instead of reading, there was gardening. Instead of lecture and repetition, there was personal discovery. And yet it took a very long time to become universal. This module covers the key elements, people, and events behind the spread of Kindergarten.
Reflection is key to experiential learning and this module covers the many pedagogical theories and practices related to facilitating that relationship.