A blended teaching mode is necessary to improve the study efficiency of nursing students. This study aimed to explore the effects of the use of case-based learning (CBL), involving microlectures and flipped classroom teaching methods (flipped CBL mode), via online tools on the teaching of physiology to nursing undergraduates. A total of 207…

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…

Student engagement is essential for attainment, with one of the biggest challenges being attention span. There is clear evidence that attention has begun to wane in students over the past 50 years. This is thought to be due to external distractions such as mobile phones, but also the method of lecture delivery which could have severe repercussions…

This paper analyzes Comenius's theoretical and methodological proposals on how human beings acquire knowledge in relation to educational purposes. Comenius emphasizes the harmony between the microcosm and the macrocosm, as well as the doctrine of the "imago Dei," which can also be traced in his didactics. However, this concern is not…

Background: Although substantial empirical evidence supports interteaching, few studies have investigated the clarifying lecture component, and none have evaluated it in an online course format. Objective: This study evaluated the necessity of a clarifying lecture in an asynchronous online course and compared a clarifying lecture (based on student…

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,…

Video lectures in massive open online courses (MOOCs) provide an opportunity to not only deliver instructional content but also engage learners. While there are many different styles of video lectures, it is not clear how video styles affect learner engagement. This study analysed and critiqued different typologies of video styles and classified…

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…

Instructional videos have been increasingly critical to afford effective learning experiences in online courses, but most videos follow a lecturing monolog delivery format. This format tends to lead students to observe the videos passively. Previous laboratory studies have indicated that observing dialog videos of an instructor tutoring a tutee…

The problem addressed in this study was the lack of critical thinking (CT) and clinical judgment (CJ) skills of senior level associate degree nursing students entering nursing orientation programs. The purpose of this randomized Solomon four-group pretest-posttest comparative study was to compare CJ and CT of senior level ADN students entering…

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…

What is this report about? This report presents the largest empirical evaluation of test equating methods ever conducted. Equating is the process of identifying scores on different test forms that can be treated as equivalent. Whilst various equating methods are available, there remains no consensus on which are most effective under which…