ABSTRACT
A/B experiments are commonly used in research to compare the
effects of changing one or more variables in two different
experimental groups—a control group and a treatment
group. While the benefits of using A/B experiments are widely
known and accepted in education, there is less agreement on an
approach to creating software infrastructure systems to assist in
rapidly conducting such experiments in the field. To assist in
alleviating this gap, we are creating a software infrastructure for
A/B experiments that allows researchers to conduct experiments
and automatically analyze their results for an education-focused
ecology-based conceptual modeling platform.
A Scalable Architecture for Conducting AB Experiments in Educational Settings
