Purpose: This study evaluated the feasibility of the "Start to Move" (S2M) digital assessment of children's fundamental movement skills being implemented by primary school teachers within PE lessons. Methods: Nine primary school teachers in the United Kingdom trialed S2M weekly over a 6-week period. Posttrial surveys and interviews were…

Background/purpose: This study investigates Syrian refugee students' post-traumatic growth (PTG) at Jadara University using emotional and metacognitive processes. Traumatic events like relocation and violence can lead to positive psychological transformations. This study examines the impact of emotional management and metacognition on PTG in these…

This convergent mixed-methods study investigated Australian teachers' perspectives on the computing competencies required for online National Assessment Program -- Literacy and Numeracy (NAPLAN). A total of 107 teachers completed surveys examining how socio-educational backgrounds and classroom practices shape students' readiness for high-stakes…

The COVID-19 pandemic has disrupted the U.S. education system in both immediate and long-term ways, calling into question how K-12 accountability will function in the 2020-21 school year and well into the future. States face considerable uncertainty about how to meet federal and state accountability requirements for this school year and beyond. It…

This research explored the effect of incentives to complete online quizzes during a course. When a 1% weighting incentive per quiz was removed, student engagement dropped dramatically. There is also evidence that students who continued to complete quizzes did so with less vigour, spending less time on each quiz, starting them later in the week and…

In this study, we applied natural language processing (NLP) techniques, within an educational environment, to evaluate their usefulness for automated assessment of students' conceptual understanding from their short answer responses. Assessing understanding provides insight into and feedback on students' conceptual understanding, which is often…

With the effect of the pandemic, higher education is maintained all over the world with the help of online education methods. How to make online exams, which are an important part of distance education processes, in a way to prevent cheating and illegal behavior is an important issue that brings with it discussions. This research, in which the…

The objective of this research is to study the results of activities to increase the scores of Ordinary National Education Test. Cluster; teachers of Phetchaburi Rajabhat University comparing the results of Ordinary National Education Test in 2017-2018 and studying the satisfaction of the activities. The target group is 49 schools in Phetchaburi…

This article presents two alternative methods to null hypothesis significance testing (NHST) for improving inferences from underpowered research designs. Post hoc design analysis (PHDA) assesses whether an NHST analysis generating null findings might otherwise have had sufficient power to detect effects of plausible magnitudes. Bayesian analysis…

Purpose: The purpose of this case study is to share the authors' involvement and observation in adopting online exam as an evaluation tool, in the hope that others may too be able to adapt and circumvent this lockdown period while bringing a more reliable methodological approach in an online exam. Design/methodology/approach: This is a case study…

The COVID-19 shutdown of in-person university classrooms in Spring 2020 brought the question of how to conduct online examinations into urgent focus. Although, online education has been around since 1984 and online exams have been routinely built into online course syllabi, the mid-semester transition to online teaching confronted many instructors…

Developmental research, like many fields, is plagued by low sample sizes and inconclusive findings. The problem is amplified by the difficulties associated with recruiting infant participants for research as well as the increased variability in infant responses. With sequential testing designs providing a viable alternative to paradigms facing…

Machine learning (ML) has been increasingly employed in science assessment to facilitate automatic scoring efforts, although with varying degrees of success (i.e., magnitudes of machine-human score agreements [MHAs]). Little work has empirically examined the factors that impact MHA disparities in this growing field, thus constraining the…

In automated essay scoring (AES), scores are automatically assigned to essays as an alternative to grading by humans. Traditional AES typically relies on handcrafted features, whereas recent studies have proposed AES models based on deep neural networks to obviate the need for feature engineering. Those AES models generally require training on a…

The Every Student Succeeds Act requires that states make efforts to offer statewide achievement tests in languages, other than English, that are present to a significant extent in the state. Currently, four states offer Spanish reading or language arts assessments as part of their statewide testing program. In these states, practitioners may be…