There is growing interest in incorporating multiple voices and ways of knowing into assessment efforts. Attention to incorporating multiple approaches to measuring student learning increases equity in assessment (Montenegro and Jankowski 2017) and promotes engagement with a variety of stakeholders with diverse perspectives on knowledge. However,…

This study focuses on the practical teaching mode of vocational education under the background of Internet Plus. The traditional model has some problems, such as lack of resources, single method, weak teachers and one-sided evaluation. The internet has brought many positive effects on practical teaching, such as expanding resources, providing…

Researchers continue to choose PCA in scale development and adaptation studies because it is the default setting and overestimates measurement quality. When PCA is utilized in investigations, the explained variance and factor loadings can be exaggerated. PCA, in contrast to the models given in the literature, should be investigated in…

This study has collected the data, analysed it, and drawn the necessary scientific conclusions to standardise the toolkit to evaluate educational accreditation activities' influence on training program development in Vietnam. The research method of the article includes building survey questionnaires and collecting data from 80 lecturers in 10…

This paper questions the bounds of hegemonic knowledge production focusing on how student learning at the university level is a site to re-imagine knowledge produced in the Global South/Majority. It argues that there are transformational approaches to teaching and learning within the Caribbean that need to be centred in global pedagogical…

Oblique bifactor models, where group factors are allowed to correlate with one another, are commonly used. However, the lack of research on the statistical properties of oblique bifactor models renders the statistical validity of empirical findings questionable. Therefore, the present study took the first step to examine the statistical properties…

Measurement invariance (MI) is an essential part of validity evidence concerned with ensuring that tests function similarly across groups, contexts, and time. Most evaluations of MI involve multigroup confirmatory factor analyses (MGCFA) that assume simple structure. However, recent research has shown that constraining non-target indicators to…

Today's students need more than great teaching of the curricula; they must also be taught the love and strategies of learning. It's time for a balanced approach that teaches students how to access and process information and inspires a desire for continuous learning. Written by renowned researchers and educators, "Great Learners by…

Theoretical Background: Previous studies indicate that students' learning motivation varies across learning situations and is influenced by situational characteristics such as teaching behaviour. We focus on instructional clarity as one factor that may influence expectancies and task values. Aims and Research Questions: This study combines a…

In emergence-based leadership education, the knowledge and experiences co-created in the classroom may violate some of the assumptions behind traditional teaching and learning assessment methods. Thus, traditional assessment, evaluation, and outcomes for courses utilizing emergence-based methods, such as intentional emergence, case-in-point,…

This article engages posthuman theory to propose a rethinking of the theory and practice of relational pedagogies within higher education (HE). There has been renewed emphasis within HE discourses on the significance of relationships within learning and teaching as a means to offer a counter-view to an uncaring marketised HE system. This article…

In recent years, educators, administrators, policymakers, and measurement experts have called for assessments that support educators in making better instructional decisions. One promising approach to measurement to support instructional decision-making is diagnostic classification models (DCMs). DCMs are flexible psychometric models that…

We present a method for Bayesian structural equation modeling of sample correlation matrices as correlation structures. The method transforms the sample correlation matrix to an unbounded vector using the matrix logarithm function. Bayesian inference about the unbounded vector is performed assuming a multivariate-normal likelihood, with a mean…

Factor analysis is widely utilized to identify latent factors underlying the observed variables. This paper presents a comprehensive comparative study of two widely used methods for determining the optimal number of factors in factor analysis, the K1 rule, and parallel analysis, along with a more recently developed method, the bass-ackward method.…

The post-pandemic expectations of today's students require greater innovation in teaching and learning. Rapidly changing technologies and software applications will drastically change how higher education is structured and disseminated. In this article, the authors examine the use of micro-credentialing, the potential and challenges of Artificial…