Systematic reviews (SRs) have an important role in the healthcare decision-making practice. Assessing the overall confidence in the results of SRs using quality assessment tools, such as "A MeaSurement Tool to Assess Systematic Reviews 2" (AMSTAR 2), is crucial since not all SRs are conducted using the most rigorous methods. In this…

This basic qualitative study aimed to understand how the results of the kindergarten readiness assessments are used within the classroom for planning curriculum, connecting to learning standards, and implementing individualized instruction, along with kindergarten teachers' perspectives on the usefulness of kindergarten readiness testing. The…

Accurate measurement of wisdom is the cornerstone of wisdom research. To provide a representative reference for the reliability level and moderating factors of various wisdom self-rating scales, we carried out a reliability generalization meta-analysis of Chinese and English references retrieved from 2004 to 2023. A total of 149 articles were…

Post-secondary data literacy education is critical to students' academic and career success. However, the literature has not adequately addressed the conceptualization and assessment of data literacy for post-secondary students. In this study, we introduced a novel digital performance-based assessment for teaching and evaluating post-secondary…

A recent review found that 11% of published factor models are hierarchical models with second-order factors. However, dedicated recommendations for evaluating hierarchical model fit have yet to emerge. Traditional benchmarks like RMSEA <0.06 or CFI >0.95 are often consulted, but they were never intended to generalize to hierarchical models.…

The existing performance evaluation methods in robot-assisted surgery (RAS) are mainly subjective, costly, and affected by shortcomings such as the inconsistency of results and dependency on the raters' opinions. The aim of this study was to develop models for an objective evaluation of performance and rate of learning RAS skills while practicing…

It may seem obvious, but learning should never be implied or assumed. Learning must be explicit, evaluated and monitored; the impact of teaching on student learning should be visible. But how can we be sure? Armed with years of research that includes more than 2,100 meta-analyses, and 130,000 studies that include more than 300 million…

Educational assessment is inherently uncertain, where physiological, psychological and social factors play an important role in establishing judgements which are assumed to be "absolute". AI and other algorithmic approaches to grading of student work strip-out uncertainty, leading to a lack of inspectability in machine judgement and…

A computer science camp for pre-collegiate students was operated during the summers of 2022 and 2023. The effect the camp had on attitudes was quantitatively assessed using a survey instrument. However, enrollment at the summer camp was small, which meant the well-known Pearson's Chi-Squared to measure the significance of results was not applied.…

This article explores the impact of collaboration on target text quality in translator training. By comparing team translations with those by individual peers, and analysing the highest and lowest scoring teams, the authors aimed to understand the impact of collaboration on quality. The comparison indicates that translations in a skills lab…

This paper reviews 38 studies conducted between 2015 and 2022 on collaborative assessments in open-distance and e-learning (ODeL) contexts, focusing on the benefits, types, challenges, and strategies to improve collaborative assessments. This qualitative review aims to investigate collaborative assessments within the ODeL comprehensively. The…

Whereas a growing number of studies evidence that research quality notions and evaluative practices are field- and context-specific, many focus on single evaluative practices or moments. This paper introduces the concept of "quality landscape" to capture dynamics of interrelated quality notions, evaluative moments and practices in a…

Used correctly, assessments play a vital role in the success of a course: they provide valuable feedback to students regarding their knowledge gaps, encourage deeper understanding of the material, help students to develop critical thinking, and guide students to accomplish a course's learning goals. They also provide a signal to future employers,…

Learning outcomes and assessment frameworks guide educators in curricular decisionmaking, impact assessment, gap identification, and equity evaluation, aligning with anticipated learning objectives. Common frameworks include Bloom's taxonomy, Kirkpatrick's model, Fink's taxonomy, and Moore's Outcomes model. The authors identified a lack of focus…

Research in human development often relies on composites, that is, composed variables such as indices. Their composite nature renders these variables inaccessible to conventional factor-centric psychometric validation techniques such as confirmatory factor analysis (CFA). In the context of human development research, there is currently no…