Given the rapid adoption of machine learning methods by education researchers, and the growing acknowledgment of their inherent risks, there is an urgent need for tailored methodological guidance on how to improve and evaluate the validity of inferences drawn from these methods. Drawing on an integrative literature review and extending a…

Assessment is a significant part of an education system that evaluates students' learning. Assessment tools have been a topic of interest for educationists and academicians since the beginning of the education system, and it is still advancing every day. Therefore, this research explored the perceived effectiveness of assessment tools currently…

The development of a set of rubrics for teachers and curriculum designers interested in the quality of numeracy tasks emerged from our struggle with an attempt to clarify the distinction between numeracy and mathematics. Shifting our perspective from asking what numeracy and mathematics are to asking what they are about led to the…

Evaluation competency frameworks across the globe regard evaluation approaches as important to know and use in practice. Prior classifications have been developed to aid in understanding important differences among varying approaches. Nevertheless, there is an opportunity for a new classification of evaluation approaches, in particular one that is…

Despite the increasing adaption of automated text analysis in communication studies, its strengths and weaknesses in framing analysis are so far unknown. Fewer efforts have been made to automatic detection of networked frames. Drawing on the recent developments in this field, we harness a comparative exploration, using Latent Dirichlet Allocation…

The nursing profession has evolved significantly over the past decade. As a result of changes in the healthcare environment, a more diverse patient population, higher patient acuity, burnout and staffing shortages, nurses are practicing more autonomously than before. Nurses must demonstrate the ability to use critical thinking and clinical…

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…

Automatically assessing classroom discussion quality is becoming increasingly feasible with the help of new NLP advancements such as large language models (LLMs). In this work, we examine how the assessment performance of 2 LLMs interacts with 3 factors that may affect performance: task formulation, context length, and few-shot examples. We also…

Evaluation capacity building (ECB) continues to attract the attention and interest of scholars and practitioners. Over the years, models, frameworks, strategies, and practices related to ECB have been developed and implemented. Although ECB is highly contextual, the evolution of knowledge in this area depends on learning from past efforts in a…

Automatic grading of short answers is an important task in computer-assisted assessment (CAA). Recently, embeddings, as semantic-rich textual representations, have been increasingly used to represent short answers and predict the grade. Despite the recent trend of applying embeddings in automatic short answer grading (ASAG), there are no…

This paper describes the (Sin Exclusión) Transdisciplinary Autism Assessment and Resources ([S]TAAR) model and presents early metrics tracking efficiency and equity in access to high-quality comprehensive autism evaluations for young children. Retrospective chart reviews over one year (08/2018-08/2019) with n = 173 children were reviewed. Through…

Multiple measures, such as multiple content domains or multiple types of performance, are used in various testing programs to classify examinees for screening or selection. Despite the popular usages of multiple measures, there is little research on classification consistency and accuracy of multiple measures. Accordingly, this study introduces an…

Teacher stress, burnout, and attrition are well-documented problems that have been amplified as a result of the COVID-19 pandemic. Recent efforts to study and improve teacher well-being in response to such high levels of burnout are promising. However, the field continues to lack a unified definition of teacher well-being and consistent use of…

The purpose of this study was to develop and measure the usability of the software prototype of formative assessment in the LMS. This study was applied in terms of research objective and mixed method (qualitative-quantitative) in terms of data collection in which an exploratory sequential mixed methods design was used. In addition, in order to…

The objectives of the study were to (1) analyze the components and indicators for enhancing classroom research competencies of student teachers, (2) study the needs of developing classroom research competencies of the student teachers, (3) to create a model for enhancing research competencies in the classroom, (4) apply the form of a model for…