Personalized learning considers that the causal effects of a studied learning intervention may differ for the individual student. Making the inference about causal effects of studies interventions is a central problem. In this paper we propose the Residual Counterfactual Networks (RCN) for answering counterfactual inference questions, such as…

Objective: There is substantial evidence that poorly designed and reported research can mislead decision making in clinical care. This review investigates the methodological quality of Swedish trials of a wide array of psychological and social interventions. Method: The review includes 302 articles published in peer-reviewed journals during…

This paper reports a pilot study to determine the potential impact of an integrated STEM curriculum on Pre-K teachers' engineering content knowledge, self-efficacy and teaching practice. Using a randomized control trial design, researchers examined the impact of the curriculum in 17 Pre-K classrooms (8 intervention classrooms, 9 control…

Using a low inference observation instrument, we investigated the effect of an ongoing, intensive, and structured virtual professional development [VPD] on fidelity of implementation across conditions in a randomized control trial validation study implemented in seven Texas school districts. The observations were collected three time in the…

We present main effects of treatment and moderating effects of student background on science and engineering outcomes for grades 3-5 children participating in an engineering intervention. Data is from a large-scale randomized-controlled trial of two matched pairs (intervention and comparison) of engineering units. The intervention curriculum…