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…

Background: The absence of Physical Education (PE) from the South African school curriculum before its reintroduction in recent years contributed to health concerns regarding the low physical activity (PA) levels of children and adolescents in South Africa. Purpose: This study evaluated the effects of a once-a-week enhanced quality PE programme on…

Effective teaching practices, including the ability to make data-based decisions, are necessary to close achievement gaps. The purpose of this study was to investigate the effects of a collaborative, data-based decision making (DBDM) intervention on the quality of preservice teachers' DBDM. Participants were 45 preservice general educators…

This paper reports on a controlled experiment on the effects of three types of reflection triggers in an online course. Fifty-four volunteers, distributed in five groups, used these structured opportunities for reflection during learning. Results show that reflection triggers were extensively employed by the test persons and were perceived as…

The authors conducted an experiment during the 2003-2004 school year to determine whether "On Our Way to English" ("OWE"), a product to help elementary students learn to read and speak English, was more effective in a California and a Texas school district than materials already in place. In the California study, 384 English…

The authors were asked to find out whether "On Our Way to English" ("OWE"), a supplementary, text-based product to help elementary school students learn to read and speak English was more effective in a California and a Texas school district than the materials the districts already had in place. They conducted an experiment…