Machine learning methods for predictive analytics have great potential for uncovering trends in educational data. However, simple linear models still appear to be most widely used, in part, because of their interpretability. This study aims to address the issues of interpretability of complex machine learning classifiers by conducting feature…

Learning English as a Foreign Language (EFL) is a lengthy, demanding, and challenging process, which requires learners' L2 grit relating to their perseverance of effort and consistency of interest. Motivated by the growing body of research on L2 grit over the past few years, this study examined the role of perceived teacher support and learning…

Over the past decade, there has appeared a surge of research interest in language learners' academic engagement and psychological well-being as important factors in improving the quality of education. However, research on the roles of English as a foreign language (EFL) teachers' affective scaffolding in enhancing the academic engagement and…

The role of international students' English language proficiency has been extensively researched to understand its impact on academic achievement in English-medium universities, mainly because of students' non-English-speaking backgrounds. However, the relationship between language proficiency and academic achievement among…

In this study, we investigated crosslinguistic influence (CLI) at developmental stages of third language (L3) acquisition of English by Russian--Norwegian children (N = 31). We tested seven linguistic properties within three linguistic modules (morphology, syntax and syntax-semantics). We compared the L3 learners to Norwegian (N = 90) and Russian…

This article enters the debate about the complex and dynamical nature of second language acquisition (SLA) by discussing and commenting on Pallotti's critique of Complex Dynamic Systems Theory (CDST). Pallotti's critique brings to the fore the argument that, due to its anti-reductionist stance, CDST research fails to observe three fundamental…

The association between prosocial behavior and adolescents' social class--defined as one's parents' position in society assessed in terms of education, income, and occupation status--is far from conclusive and the moderators of the link have not been fully researched. Using data from the National Institute of Child Health and Human Development…

The study aimed to investigate the correlations between psychological symptoms in high-achieving students with performance-oriented assessment, parental psychological control, parental achievement pressure, perfectionism, and academic expectation stress. The study group consisted of 1134 science high school students (658 females [57.1%], 486 males…

The shift from teacher-centered to student-centered instruction requires language teachers' roles to change from being lecturers and controllers to facilitators and advisors. This shift requires students to have a high degree of learner autonomy. However, some teachers hesitate to promote learner autonomy. If they remain uncertain about the…

Many early care and education (ECE) institutions--including Head Start, state quality rating and improvement systems (QRIS), and school district pre-K programs--use classroom quality observations in their quality improvement or monitoring processes. As many states expand their ECE programs, they grapple with questions about how best to use data…

This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction; and…

In addition to providing a set of techniques to analyze educational data, I claim that data science as a field can provide broader insights to education research. In particular, I show how the bias-variance tradeoff from machine learning can be formally generalized to be applicable to several prominent educational debates, including debates around…

Readability systems have once more become prominent in policy and practice because of recommendations in the Common Core State Standards. This study revisited two features of current text analysis (readability) systems: their generalizability to all grade levels and to all content areas. A database that encompassed texts across the grade bands and…

Short term memory (STM) and working memory (WM) performance consistently predict language abilities in children with developmental language disorders. However, causality is not fully established. Moreover, evidence from the fine-grained analysis of STM/WM tasks and comprehension of complex sentences, suggests that long term memory (LTM)…

Classic studies reveal two striking differences between preschoolers and adults in online sentence comprehension. Adults (a) recruit referential context cues to guide syntactic parsing, interpreting an ambiguous phrase as a modifier if a modifier is needed to single out the intended referent among multiple options, and (b) use late-arriving…