This article provides a review of research in applied linguistics published in Australia in the period 2015-2022. Primarily, it is based on articles from Australian publications as material from other sources is more widely available to an international audience. The research has been published in such journals as the "Australian Journal of…

Identifying mathematically gifted students is an important objective in mathematics education. To describe skills typical of these students, researchers pose problems in several mathematical domains whose solutions require using different mathematical capacities, such as visualization, generalization, proof, creativity, etc. This paper presents an…

This quantitative, causal comparative study analyzed the effect of participation in a blended learning program has on the STAAR Mathematics and Reading Language Arts assessments for fifth grade students in a large, urban school district in North Texas. The study evaluated the performance of fifth graders on the STAAR assessment in mathematics…

Environmental education would strongly benefit from a socioecological approach that encompasses the human-nature relationship in all its dimensions. Nature relatedness appears to be an essential trait to ensure effective approaches, promoting the development of pro-environmental attitudes and behaviors. but also, human well-being through…

This paper examines the impact of a reform aimed at expediting graduation times in Italian universities by reducing the number of exams students must pass to obtain a fixed number of credits. Using event-study estimates that leverage the reform's staggered implementation, we find that this policy change led to an increase in on-time graduation…

We develop a "latent variable forest" (LV Forest) algorithm for the estimation of latent variable scores with one or more latent variables. LV Forest estimates unbiased latent variable scores based on "confirmatory factor analysis" (CFA) models with ordinal and/or numerical response variables. Through parametric model…

The Texas Education Agency (TEA) has implemented a student accountability system that measures students' performance on the State of Texas Assessment for Academic Readiness (STAAR) in several content areas. Therefore, teachers and administrators all over the state are always seeking ways to ensure that students are academically well prepared.…

In the 1930s, American colleges and universities began to screen applications using the SAT, a mass-administered, IQ-descended standardized test. The widespread adoption of the test accompanied the development of the world's first mass higher education system--and served to promote the idea that the United States was becoming a…

In this study, we introduced a cross-classified multidimensional nominal response model (CC-MNRM) to account for various response styles (RS) in the presence of cross-classified data. The proposed model allows slopes to vary across items and can explore impacts of observed covariates on latent constructs. We applied a recently developed variant of…

Evaluating the quality of university exam papers is crucial for universities seeking institutional and program accreditation. Currently, exam papers are assessed manually, a process that can be tedious, lengthy, and in some cases, inconsistent. This is often due to the focus on assessing only the formal specifications of exam papers. This study…

This study examines how second/foreign language (L2) word difficulty estimates derived from item response theory (IRT) and classical test theory (CTT) frameworks are virtually identical in the context of vocabulary testing. This conclusion is reached via a two-stage process: (a) psychometric assessments of both approaches and (b) L2 word…

Early detection of autism spectrum condition is crucial for children to maximally benefit from early intervention. The study examined a machine learning model predicting the increased likelihood for autism from wellness records from 0 to 24 months. The study included 591,989 non-autistic and 12,846 autistic children. A gradient boosting model with…

The study outlines the early-stage development of a free-response General Relativity Concept Inventory (GRCI), an educational instrument designed to test for conceptual understanding of General Relativity. Data were collected for the study by having 26 participants from General Relativity courses work through the questions on the GRCI. Interviews…

Recent data from statewide assessments, scores on the National Assessment of Educational Progress (NAEP), and college remediation needs show that an increasing number of K-12 students are not performing at grade level. As schools look to support these students' learning, some districts are turning to a proven strategy for identifying the students…

A few educational models have evolved fast as inclusive education (IE), which has expanded from being a special education technique focused on integration to a comprehensive model that encompasses the education of all students. However, there is a lack of measurement tools that align with the evolving conceptualizations of IE, provide insights…