The aims of this study are investigating the attention ability and geometry skills of 60-72-month-old children according to the socio-economic status and determining whether the attention ability significantly predicts the geometry skill when the socio-economic status is controlled. The accessible population of the research in the relational…

The Cross-linguistic Lexical Task (CLT; Haman, Luniewska & Pomiechowska, 2015) is a vocabulary task designed to enable cross-linguistic comparisons both across and within (bilingual) children. In this paper we assessed the validity of the CLT as a measure of language proficiency in bilingual children, by determining the extent to which: (1)…

Parents who vary in their experience with formal schooling are likely to use different types of informal guidance with their children. However, rather than assuming a deficit approach we need evidence regarding how parents with limited schooling support their children's learning. Forty U.S. families of Mexican-heritage, from two levels of…

Maintaining learning engagement throughout adolescence is critical for long-term academic success. This research sought to understand the role of metacognition and motivation in predicting adolescents' engagement in math learning over time. In two longitudinal studies with 2,325 and 207 adolescents (ages 11-15), metacognitive skills, interest, and…

Multilevel modeling (MLM) is a statistical technique for analyzing clustered data. Despite its long history, the technique and accompanying computer programs are rapidly evolving. Given the complexity of multilevel models, it is crucial for researchers to provide complete and transparent descriptions of the data, statistical analyses, and results.…

The aim of the study was to speculate about the education in the future in terms of students, classrooms, teachers and schools by adhering to science fiction films. The samples of the study comprised 50 science fiction films selected purposefully among motion pictures by two academics from the field of educational sciences, and one expert from the…

In experiments investigating the processing of true and false negative sentences, it is often reported that polarity interacts with truth-value, in the sense that true sentences lead to faster reaction times than false sentences in affirmative conditions whereas the same does not hold for negative sentences. Various reasons for this difference…

Earlier studies established the role of demographic and temperamental features (DTFs) in the adaptation of childhood stuttering. However, these studies have been short on examining the latent interrelationships among DTFs and not utilizing them in predicting this disorder. This research article endeavors to examine latent interrelationships among…

Early warning systems (EWSs) have proven to be useful in identifying students at risk of failing both online and conventional courses. Although some general systems have reported acceptable ability to work in modules with different characteristics, those designed from a course-specific perspective have recently provided better outcomes. Hence, the…

This AERA Open special topic concerns the large emerging research area of education data science (EDS). In a narrow sense, EDS applies statistics and computational techniques to educational phenomena and questions. In a broader sense, it is an umbrella for a fleet of new computational techniques being used to identify new forms of data, measures,…

This study examines the effect of race/ethnicity, immigrant status and the role of school belonging on the academic achievement of Mexican, Filipino, and white students. We focus on school belonging and peer influences in concert with immigrant generational status and family income to predict students' academic achievement at the end of 9th grade.…

Childhood and adolescence are critical periods for human development, involving an inherent tension between children's development and autonomy and their safety and well-being. The digital mediation of children's increasingly autonomous participation in the social world has been one of the most heated issues for parents and policy maker, generally…

We offer this synthesized framework as a tool to reveal mathematical activity in a non-formal makerspace. In particular, we connect research at different grain sizes to illustrate and explain how mathematics plays a crucial, if often implicit, role in this activity. We begin with describing the Approximate Number System and the Ratio-Processing…

Kaggle is a data modeling competition service, where participants compete to build a model with lower predictive error than other participants. Several years ago they released a simplified service that is ideal for instructors to run competitions in a classroom setting. This article describes the results of an experiment to determine if…

We present an innovative activity that uses data about LEGO sets to help students self-discover multiple linear regressions. Students are guided to predict the price of a LEGO set posted on Amazon.com (Amazon price) using LEGO characteristics such as the number of pieces, the theme (i.e., product line), and the general size of the pieces. By…