Causal reasoning is important to children's cognition and academic development. However, there have been few empirical studies on the impact of visual cues and non-verbal scaffolding on children's reasoning in continuous causal processes. Hence, the present study aims to explore how causal reasoning in continuous processes is facilitated by visual…

Background/Context: State-funded prekindergarten has expanded rapidly in the U.S., and there are expectations that it will have longer-term positive effects on later academic and nonacademic outcomes (e.g., Phillips et al., 2017). There is strong evidence of pre-k effects on measures of kindergarten readiness (e.g., Gormley et al., 2005; Weiland…

Research has focused on students' difficulties understanding phenomena in which agency is distributed across actors whose individual-level behaviors converge to result in collective outcomes. Building on Levy and Wilensky (2008), this study identified features of distributed causality students understand and that may offer affordances for…

Understanding complex systems requires reasoning about causal relationships that behave or appear to behave probabilistically. Features such as distributed agency, large spatial scales, and time delays obscure co-variation relationships and complex interactions can result in non-deterministic relationships between causes and effects that are best…

Web-based problem-solving, a compound ability of critical thinking, creative thinking, reasoning thinking and information-searching abilities, has been recognised as an important competence for elementary school students. Some researchers have reported the possible correlations between problem-solving competence and information searching ability;…

Do preadolescent sport self-concepts influence subsequent sport performance? Longitudinal data (Grades 3, 4, and 6) for young boys and girls (N = 1,135; mean age = 9.67) were used to test reciprocal effects model (REM) predictions that sport self-concept is both a cause and a consequence of sport accomplishments. Controlling prior sport…

Hierarchical linear modeling is used to assess individual student, family, and school predictors of aggression in 111,662 students in sixth, seventh, and eighth grades. Nine measures of problem-solving strategies, quality of family and peer interaction, and perceptions of school climate are analyzed at the individual student level. Eight measures…

This study aimed to demonstrate an approach to measuring the value-added contribution to academic achievement made by education, and to identify the direct and indirect effects of a school's practices and its contexts. Multilevel modeling using hierarchical linear model (HLM) was employed to adjust the effect of pupil background characteristics…

In an attempt to devise a methodology for characterizing children's intuitive theories of drug action, 217 children in Grades 1 to 6 were interviewed about how two substances, alcohol and cocaine, cause behavioral changes in their users. Measures tapped both structure (Piagetian complexity of causal reasoning, coherence, and construction of a…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…