Students with complex communication needs have increasingly been using non-dedicated communication systems, such as mobile devices, to support their communication needs. This in turn, has led to an increased used of augmentative and alternative communication apps. The main challenge currently faced is the lack of empirically validated apps and…

This research aims to present a Fuzzy Expert System with psychologist expertise that seeks to assist professors, researchers and educational institutions in assessing the level of incorporation of students' Soft Skills while attending Active Learning sessions. The difficulties encountered by higher education institutions, researchers and…

In light of the widespread adoption of technology-enhanced learning and assessment platforms, there is a growing demand for innovative, high-quality, and diverse assessment questions. Automatic Question Generation (AQG) has emerged as a valuable solution, enabling educators and assessment developers to efficiently produce a large volume of test…

Learning-oriented assessment (LoA) has emerged as a learning approach to improving student learning. The integration of LoA into vocational education creates a powerful framework that not only assesses students' competencies effectively but also enhances their learning experience by making it more relevant, practical, and aligned with industry…

The tools charts are some of the most frequently visited resources on the NCII website. Furthermore, current and prior federal legislation and increasingly state legislation, emphasizes the use of educational programs, interventions, and assessments that have an evidence base supporting their effectiveness. State education agencies (SEAs) play an…

This note demonstrates that measurement invariance does not guarantee meaningful and valid group comparisons in multiple-population settings. The article follows on a recent critical discussion by Robitzsch and Lüdtke, who argued that measurement invariance was not a pre-requisite for such comparisons. Within the framework of common factor…

This research overview outlines the catalyst for a proposed research project which stems from an interest in trauma and its effects, particularly in early childhood. It argues that there should be a stronger focus on Trauma Informed Practice in Aotearoa New Zealand, with two foci-firstly in ITE programmes, empowering graduating kaiako with the…

A frequent criticism of exploratory factor analysis (EFA) is that it does not allow correlated residuals to be modelled, while they can be routinely specified in the confirmatory (CFA) model. In this article, we propose an EFA approach in which both the common factor solution and the residual matrix are unrestricted (i.e., the correlated residuals…

Studying Biblical Hebrew is increasingly considered a viable option for students with dyslexia. This presents particular challenges not just for the students but also for their teachers, because the pedagogical methods for teaching ancient languages have traditionally depended on strategies that create difficulties for dyslexic students. This…

The education sector has been quick to recognize the power of predictive analytics to enhance student success rates. However, there are challenges to widespread adoption, including the lack of accessibility and the potential perpetuation of inequalities. These challenges present in different stages of modeling, including data preparation, model…

In psychology, researchers are often interested in testing hypotheses about mediation, such as testing the presence of a mediation effect of a treatment (e.g., intervention assignment) on an outcome via a mediator. An increasingly popular approach to testing hypotheses is the Bayesian testing approach with Bayes factors (BFs). Despite the growing…

The launch of ChatGPT and the rapid proliferation of generative AI (GenAI) have brought transformative changes to education, particularly in the field of assessment. This has prompted a fundamental rethinking of traditional assessment practices, presenting both opportunities and challenges in evaluating student learning. While numerous studies…

Accurate item parameters and standard errors (SEs) are crucial for many multidimensional item response theory (MIRT) applications. A recent study proposed the Gaussian Variational Expectation Maximization (GVEM) algorithm to improve computational efficiency and estimation accuracy (Cho et al., 2021). However, the SE estimation procedure has yet to…

In the United States, in 2013, 610,042 people were estimated homeless in one night. Improving the effectiveness of homeless assistance programs, particularly aligning programs' practices with their goals, is critical to serving this population. Using a theory that predicts homeless exits, this study presents an innovative, low-cost evaluation tool…

In this column, the author revisits who we are as assessment professionals, how we are trained, what our role is, and what our responsibilities are--to ourselves as a community, to our colleagues in education, at our institution, and to those we serve-- especially from an equity lens. They also share a few strategies to address the gaps they see.