In cluster randomized evaluations, a treatment or intervention is randomly assigned to a set of clusters each with constituent individual units of observations (e.g., student units that attend schools, which are assigned to treatment). One consideration of these designs is how many units are needed per cluster to achieve adequate statistical…

Randomized A/B tests allow causal estimation without confounding but are often under-powered. This paper uses a new dataset, including over 250 randomized comparisons conducted in an online learning platform, to illustrate a method combining data from A/B tests with log data from users who were not in the experiment. Inference remains exact and…

Large-scale, classroom-based experiments using adaptive instructional software pose somewhat unique challenges for experimental design and deployment. One reason for this is that adaptive software allows students to advance through the curriculum at different rates and encounter content at different times, meaning that content targeted for…

Virtual experiments offer opportunities for students to engage in the scientific process and observe scientific phenomena. However, virtual experiments are not always effective for learning. The current study examined how two small manipulations might support better learning from virtual experiments and the extent to which this varied across…

As online learning platforms become more ubiquitous throughout various curricula, there is a growing need to evaluate the effectiveness of these platforms and the different methods used to structure online education and tutoring. Towards this endeavor, some platforms have performed randomized controlled experiments to compare different user…

For researchers seeking to improve education, a common goal is to identify teaching practices that have causal benefits in classroom settings. To test whether an instructional practice exerts a causal influence on an outcome measure, the most straightforward and compelling method is to conduct an experiment. While experimentation is common in…

To build knowledge, separate yet related learning episodes can be integrated with one another and then used to derive new knowledge. Separate episodes are often experienced through different formats, such as text passages and graphic representations. Accordingly, in the present research, we tested integration of learning episodes provided through…