Many educational and psychological studies have shown that the development of students is generally step-by-step (i.e. ordinal development) to a specific level. This study proposed a novel longitudinal learning diagnosis model with polytomous attributes to track students' ordinal development in learning. Using the concept of polytomous attributes…

Deaf and hard of hearing (DHH) students often experience systemic barriers to academic success, especially low expectations of what they know and can do. Longitudinal data analysis is critical to understanding how academic achievement for DHH students progresses over time and where they may need additional support on their academic journey to…

This paper provides new evidence on educational inequality and reviews the literature on the causes and consequences of unequal education. We document large achievement gaps between children from different socio-economic backgrounds, show how patterns of educational inequality vary across countries, time, and generations, and establish a link…

The purpose of this study was to analyse 18 Portuguese high school students' game play performance improvements across three hybrid Sport Education-Step-Game-Approach volleyball seasons. Students' play performance at the entry and exit points of each season was evaluated using the Game Performance Assessment Instrument during 2vs2 games. A series…

This issue provides a study on translation competence acquisition (TCA). The study consisted of an TCA experiment involving 129 first to fourth year trainee translators and recent graduates. The experiment was conducted in November 2011, when the first-year subjects had just begun their degree course; the graduates had completed their studies in…

Analyzing students' growth remains an important topic in educational research. Most recently, Diagnostic Classification Models (DCMs) have been used to track skill acquisition in a longitudinal fashion, with the purpose to provide an estimate of students' learning trajectories in terms of the change of fine-grained skills overtime. Response time…

A family of learning models that integrates a cognitive diagnostic model and a higher-order, hidden Markov model in one framework is proposed. This new framework includes covariates to model skill transition in the learning environment. A Bayesian formulation is adopted to estimate parameters from a learning model. The developed methods are…

Current quantitative methods in second language (L2) acquisition have proven useful in examining how phraseological unit production changes over time. However, these methods are limited in that they do not allow for the analysis of individual differences in those changes. This study demonstrates the potential for Latent Curve Modeling, a type of…

Educational research aims to understand how and why students change over time. With its emphasis on within-person change, latent change score models provide educational researchers with a more general and flexible framework for testing nuanced hypotheses regarding within-person change and between-person differences in within-person change. Models…

This article reports the findings of a one-year longitudinal study that investigated the impact of group work on the development of students' critical thinking in Hong Kong secondary schools. It explores whether the participation of teachers in a group-based teaching intervention adapted from an earlier study conducted in the United Kingdom (UK)…

Educating for citizenship is most often associated with a discourse of liberalism in which knowledge, skills and values of equality, rights, justice and national identity are taught. A competing neoliberal discourse with values of self-improvement, responsibility and entrepreneurialism is now quite pervasive in educational policies and practices,…

Multi-User Virtual Environments (MUVEs) are the subject of increasing interest for educators and trainers. This article reports on a longitudinal project that seeks to establish a virtual agile software development workshop hosted in the Open Wonderland MUVE, designed to help learners to understand the basic principles of some core agile software…

Beyond the traditional notions of intelligence and academic achievement, the successful development of noncognitive or "soft" skills (e.g., personality factors, motivation, creativity) among school-aged youth represents an important objective for any educational system. Such skills have been shown to be significantly predictive of…

This article reviews the mechanics of conventional and piecewise growth models to demonstrate the unique affordances of each technique for examining the nature and predictors of children's early literacy learning during the transition from preschool through first grade. Using the nationally representative Family and Child Experiences Survey…

"Research Messages 2014" is a collection of summaries of research published by the National Centre for Vocational Education Research (NCVER) in 2014 in the context of changing economic, industrial, social and education conditions, organised under the following broad categories: (1) Productivity: to sustain and build Australia's human…