Recent years have seen a growing interest in block-based programming environments for computer science education. While these environments hold significant potential for novice programmers, they lack the adaptive support necessary to accommodate students exhibiting a wide range of initial capabilities and dispositions toward computing. A promising…

Purpose: We investigated the roles of leisure reading and word reading ability in vocabulary and reading comprehension development in 598 adolescents at ages 10, 11, and 12 (285 girls, 313 boys). Method: Structural equation modeling was used to test whether word reading was associated with vocabulary and reading comprehension: a) directly; b)…

Previous research has identified various internal and external factors that predict teachers' technology adoption. Limited studies have explored how these internal and external factors interplay to determine different types of technology use. This study used the survey responses of 280 English as foreign language (EFL) teachers to examine how two…

This study determines (a) which factors of the parenting context, the child and their mothers are associated with environments that differ in their home literacy environment in a Chilean low-SES sample of 53-month-old children, and (b) whether reading comprehension at second and fourth grade is predicted by the socialization in the literacy…

Although previous research showed that discrete social-emotional skills such as empathy, motivation, and social relationships in school significantly predict achievement, students tend to use various social-emotional skills in combination. As such previous investigations cannot comment on how different combinations or profiles of students'…

The study abroad experience is an important fixture of American higher education, with politicians, institutions, and mainstream media calling for increased participation. Participation in study abroad can potentially benefit students' personal, academic, and career development. However, historical educational data have shown that some groups,…

High school students' optimism pertaining to future life outcomes, such as having a career they enjoy, owning a home, and having a better life than their parents had, might have been influenced negatively by recent events, such as the COVID-19 pandemic, which has been particularly stressful for students. Using data from a sample of current high…

Two challenges science teachers face are identifying misconceptions students have about how the world operates and getting past those misconceptions. Students' prior conceptions often conflict with the content educators are trying to teach. The gateway to revealing and changing such misconceptions, Fouché says, is predictive questioning. As they…

Gravity racing can be studied using numerical solutions to the equations of motion derived from Newton's second law. This allows students to explore the physics of gravity racing and to understand how design and course selection influences vehicle speed. Using Euler's method, we have developed a spreadsheet application that can be used to predict…

The latent factor in a causal indicator model is no more than the latent factor of the factor part of the model. However, if the causal indicator variables are well-understood and help to improve the prediction of individuals' factor scores, they can help to interpret the meaning of the latent factor. Aguirre-Urreta, Rönkkö, and Marakas (2016)…

Dual-route theory, which emphasizes the importance of lexical and nonlexical routes, makes specific predictions about the kinds of strategies that young students might adopt when attempting to correctly read and spell regular and irregular words. The current study tests these predictions by assessing strategy choice on regular, irregular, and…

Learning analytics dashboards commonly visualize data about students with the aim of helping students and educators understand and make informed decisions about the learning process. To assist with making sense of complex and multidimensional data, many learning analytics systems and dashboards have relied strongly on AI algorithms based on…

Purpose: This study compares online word recognition and prediction in preschoolers with (a suspicion of) a developmental language disorder (DLD) and typically developing (TD) controls. Furthermore, it investigates correlations between these measures and the link between online and off-line language scores in the DLD group. Method: Using the…

Several studies used artificial language (AL) learning paradigms to investigate structural priming between languages in early phases of learning. The presence of such priming would indicate that these languages share syntactic representations. Muylle et al. (2020a) found similar priming of transitives and ditransitives between Dutch (SVO order)…

This study extends the community of inquiry (CoI) framework and self-regulated learning (SRL) theory through an exploration of the structural relationships among existing CoI variables, learning presence (i.e., self-efficacy and online SRL strategy) and learning outcomes in the context of K-12 online learning. To help understand the influence of…