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…

Assessing students' writing performance is essential to adequately monitor and promote individual writing development, but it is also a challenge. The present research investigates a benchmark rating procedure for assessing texts written by upper-elementary students. In two studies we examined whether a benchmark rating procedure (1) leads to…

The assessment of human performance is not a new phenomenon. We have evidence that people have been required to prove their worth dating back at least to the Epic of Gilgamesh. What has changed, at least on a large scale, is the importance given to quantitative evidence in the evaluation process. For example, many employers have begun subjecting…

This paper introduces a framework aimed at assessing the sustainability of fashion designers, intending to evaluate their proficiency in sustainability and enhance higher education in design. To establish a system for assessing and evaluating sustainable design competence, we initiated interviews with both designers and fashion design students.…

Traditional authentic assessment tasks are frequently tied to future work and enmeshed in neoliberal and capitalist visions of education. We advocate an alternative approach where authenticity signifies meaningful learning outside the confines of the classroom to promote deep learning that 'sticks'. We proffer an understanding of "assessment…

The Proposed Specifiers for Conduct Disorder (PSCD) assesses psychopathy components of grandiose-manipulative (GM), callous-unemotional (CU), daring-impulsive (DI), and conduct disorder (CD). Research on PSCD is still in its infancy, and further research is necessary to examine its psychometric properties. We investigated the correlations between…

The use of inter-rater reliability (IRR) methods may provide an opportunity to improve the transparency and consistency of qualitative case study data analysis in terms of the rigor of how codes and constructs have been developed from the raw data. Few articles on qualitative research methods in the literature conduct IRR assessments or neglect to…

The remarkable strides in artificial intelligence (AI), exemplified by ChatGPT, have unveiled a wealth of opportunities and challenges in assessment. Applying cutting-edge large language models (LLMs) and generative AI to assessment holds great promise in boosting efficiency, mitigating bias, and facilitating customized evaluations. Conversely,…

Higher education accreditation has spread internationally as a vehicle for quality assurance and improvement but is strongly influenced by accreditation practices in the United States. The organisational structure and processes of seven United States health professions accreditors were analysed to identify common characteristics that reflect…

The Autism Classification System of Functioning: Social Communication (ACSF) describes social communication functioning levels. First developed for preschoolers with ASD, this study tests an expanded age range (2-to-18 years). The ACFS rates the child's typical and best (i.e., capacity) performance. Qualitative methods tested parent and clinician…

In order for climate literacy assessments to be applicable in large-scale studies, it is essential that they comply with the standards of test administration while maintaining consistency with a comprehensive definition of the concept. In alignment with the different educational frameworks and the Climate Literacy Principles of the U.S. Global…

Contribution: This article analyzes student assessment within a computing faculty employing a full project-based learning (PBL) approach. Examining 2078 final grades across 60 classes and periods, the study reveals a significant correlation between graded self-studies, exams, and projects. This result contributes to understanding the reliability…

The integration of advanced learning analytics and data-mining technology into higher education has brought various opportunities and challenges, particularly in enhancing students' self-regulated learning (SRL) skills. Analyzing developed features for SRL support, it has become evident that SRL support is not a binary concept but rather a…

Diagnostic classification models (DCMs) have grown in popularity as stakeholders increasingly desire actionable information related to students' skill competencies. Longitudinal DCMs offer a psychometric framework for providing estimates of students' proficiency status transitions over time. For both cross-sectional and longitudinal DCMs, it is…

The product Bayes factor (PBF) synthesizes evidence for an informative hypothesis across heterogeneous replication studies. It can be used when fixed- or random effects meta-analysis fall short. For example, when effect sizes are incomparable and cannot be pooled, or when studies diverge significantly in the populations, study designs, and…