Recent years have seen an unprecedented growth and geographic dispersion in international student mobility. In this paper, we empirically test the predictions of two competing theoretical models underpinning the determinants of student mobility -- the human capital model and the migration model -- across traditional and emerging destinations. Our…

Knowledge tracing is the task of modeling each student's mastery of knowledge concepts (KCs) as (s)he engages with a sequence of learning activities. Each student's knowledge is modeled by estimating the performance of the student on the learning activities. It is an important research area for providing a personalized learning platform to…

Over the past decade, low graduation and retention rates have plagued higher education institutions. To help students graduate on time and achieve optimal learning outcomes, many institutions provide advising services supported by educational technologies. Accurate grade prediction is an integral part of these services such as degree planning…

Computational models of learning can be powerful tools to test educational technologies, automate the authoring of instructional software, and advance theories of learning. These mechanistic models of learning, which instantiate computational theories of the learning process, are capable of making predictions about learners' performance in…

Typical Bayesian methods for models with latent variables (or random effects) involve directly sampling the latent variables along with the model parameters. In high-level software code for model definitions (using, e.g., BUGS, JAGS, Stan), the likelihood is therefore specified as conditional on the latent variables. This can lead researchers to…

Most research on dual language learners (DLLs) in preschool has focused on language and literacy development. Less work has been done on their play and social interactions, in spite of the importance of these for development and learning. Although DLLs possess many social strengths, they also face challenges, particularly in an English-dominant…

Self-efficacy in language learning have been attracting interest recently. The construct is said to be a reliable predictor of language performance. This study is aimed at explaining the relationship of self-efficacy and speaking proficiency of male and females. It was administered to investigate whether self-efficacy correlates to speaking…

Interim and summative assessments often are used to make decisions about student writing skills and needs for instruction, but the extent to which different raters and score types might introduce bias for some groups of students is largely unknown. To evaluate this possibility, we analyzed interim writing assessments and state summative test data…

Objective: The present study focuses on factors that predict sexual risk behaviors and sexual health screening behaviors in a sample of university students in Lebanon. Participants: A convenience sample of 250 undergraduate students was recruited at a private university in Beirut, Lebanon. Methods: Students completed measures of religiosity,…

Background: As a non-cognitive trait, grit plays an important role in human learning. Although students higher in grit are more likely to perform well on tests, how they learn in the process has been underexamined. Objectives: This study attempted to explore how students with different levels of grit behave and learn in an exploratory learning…

Recent negotiations of 'data' in schools place focus on student assessment and NAPLAN. However, with the rise in artificial intelligence (AI) underpinning educational technology, there is a need to shift focus towards the value of teachers' digital data. By doing so, the broader debate surrounding the implications of these technologies and rights…

The early elementary years are foundational for future academic achievement, and, as the number of Latino students in U.S. schools continues to rise, more attention has been given to the academic performance of these young learners. Yet little is known about the cognitive skills, such as executive function (EF), that may underlie Latinos' academic…

This study examined the relationships between first-year university students' academic motivation, retrospective evaluation of school experiences, subjective well-being, engagement and intention to drop out. Self-determination theory, the SInAPSi model of academic engagement, the hedonic approach, and the retrospective judgment process were used…

Recent advances in Artificial Intelligence (AI) have sparked renewed interest in its potential to improve education. However, AI is a loose umbrella term that refers to a collection of methods, capabilities, and limitations--many of which are often not explicitly articulated by researchers, education technology companies, or other AI developers.…

Approaches to learning a second/foreign language can be affected by such individual differences as personality traits, motivational variables, and task difficulty. Personality traits have been proven to influence academic achievement, but their effects on motivation and language learning approaches remain unanswered. The first purpose of the study…