As colleges and universities seek to invigorate ethics education, they need methods to identify where and describe how ethics is already present across their curricula. Meeting this need is complicated by the fact that much ethics education occurs in courses not explicitly focused on ethics or morality. In this paper, we review recent…

To meet accreditation expectations, teacher preparation programs must demonstrate their candidates are evaluated using summative assessment tools that yield sound, reliable, and valid data. These tools are primarily used by the clinical experience team -- university supervisors and mentor teachers. Institutional beliefs regarding best practices…

Work-integrated learning (WIL) is a formal program for student teachers to practice teaching in an authentic learning environment. Assessment of this program can bring conflicts between student teachers and assessors. This empirical study undertaken in South Africa discusses student teachers' participation in the assessment of their WIL. The study…

Participatory research can be promoted by scientific intermediary units, such as Science Shops. The overarching goal of these initiatives is thereby to foster a process of co-creation of the research questions to address societal needs that are relevant to scientific research and society at large. The InSPIRES project was a Horizon Europe…

Appraisal processes are a requirement for professionals working in the education sector. Often appraisal processes do not focus on strengths, rather, it becomes a process of meeting pre-determined requirements. This article takes a strength-based approach to appraisal and discusses a study which pilots the use of an Appreciative Growth Cycle…

Background: Both socially regulated learning and cognitive quality are important factors affecting collaborative knowledge building, but the current research lacks a joint quantified evaluation method that combines these two aspects. Objectives: Based on the existing framework, we proposed a joint evaluation method for regulated learning and…

Missing data are a pervasive problem in data analysis. Three common methods for addressing the problem are (a) complete-case analysis, where only units that are complete on the variables in an analysis are included; (b) weighting, where the complete cases are weighted by the inverse of an estimate of the probability of being complete; and (c)…

Through a lens for engaged scholarship (Boyer in "Journal of Public Service and Outreach," 1(1), 11-20, 1996) this multiple case study (Merriam, 1996) explores the potential of scholarly podcasts for public knowledge dissemination, highlighting the misalignment of university impact metrics with this medium. Our team collected qualitative…

This study evaluated the efficacy of two proposed methods in an operational standard-setting study conducted for a high-stakes language proficiency test of the U.S. government. The goal was to seek low-cost modifications to the existing Yes/No Angoff method to increase the validity and reliability of the recommended cut scores using a convergent…

Computational thinking (CT) is increasingly integrated into education, promoting problem-solving skills essential for the 21st century. However, little is known about how teachers assess CT in K-12 classrooms. This qualitative study explores elementary teachers' approaches to CT assessment after professional development in integrating CT into core…

The visual analysis of data presented in time-series graphs are common in single-case design (SCD) research and applied practice in school psychology. A growing body of research suggests that visual analysts' ratings are often influenced by construct-irrelevant features including Y-axis truncation and compression of the number of data points per…

A common problem in the analysis of multiple data sources, including individual participant data meta-analysis (IPD-MA), is the misclassification of binary variables. Misclassification may lead to biased estimators of model parameters, even when the misclassification is entirely random. We aimed to develop statistical methods that facilitate…

This longitudinal, multi-semester study investigates the Integrated Performance Assessment (IPA) in university-level communicative Spanish classrooms to find out how instructor feedback affects student performance on IPA assessments, if at all, and in what ways do teachers and students use feedback from the IPAs in their teaching and learning, if…

Makerspaces are gaining popularity in the educational activities of all age groups, from primary schools to higher education institutions, particularly in science, technology, engineering, and mathematics (STEM) disciplines. Due to makerspaces' hands-on learning approach, it is generally believed that learning in makerspaces influences students'…

As diagnostic classification models become more widely used in large-scale operational assessments, we must give consideration to the methods for estimating and reporting reliability. Researchers must explore alternatives to traditional reliability methods that are consistent with the design, scoring, and reporting levels of diagnostic assessment…