Although a range of studies has explored the effectiveness of group-dynamic assessment (G-DA) and process-based instruction (PBI) in second language (L2) learning, no study has compared the effects of G-DA and PBI on EFL learners' metacognitive awareness (MA) and listening comprehension (LC). Thus, this study aimed to explore the effects of G-DA…

Background: Dialogue between the teaching profession and researchers regarding pedagogical strategy is sometimes problematic. Pedagogy research may benefit from incorporating research methods that can investigate teachers' and pupils' interpretations. Purpose: This research expands the Pedagogy Analysis Framework (Riordan, 2020) by explaining in…

The aim of this study was to develop a scale to measure students' blended learning course experience. A total of 792 undergraduate students from Malaysia participated in this study. Exploratory factor analysis (EFA) was employed to evaluate the factor structure of the scale. As a result of EFA, three factors with 19 items that explained 68.06% of…

Over the last two decades, the Common European Framework of Reference for Languages (CEFR) has become ubiquitous in ELT. In this article, I consider how differences in the way in which the framework is being interpreted by different powerful actors, including governments and for-profit organizations, affect its usability for ELT practitioners, a…

This qualitative, phenomenological study examined the impact of the Puko?a Kani ?Aina grant project that provided eight instructors at the University of Hawai?i West O?ahu a professional development opportunity. This study examined how the eight, representing the Mathematical, Natural and Health Science [BSNS, STEM Degrees] Division, were offered…

Investigators often rely on the proportion of correct responses in an assessment when describing the impact of early mathematics interventions on child outcomes. Here, we propose a shift in focus to the relative sophistication of problem-solving strategies and offer methodological guidance to researchers interested in working with strategies. We…

Developing models and using mathematics are two key practices in internationally recognized science education standards such as the Next Generation Science Standards (NGSS, 2013). In this paper, we used a virtual performance-based formative assessment to capture students' competencies at both "developing" and "evaluating"…

Factor mixture modeling (FMM) has been increasingly used to investigate unobserved population heterogeneity. This study examined the issue of covariate effects with FMM in the context of measurement invariance testing. Specifically, the impact of excluding and misspecifying covariate effects on measurement invariance testing and class enumeration…

Multifinality, equifinality, and fanning are important developmental concepts that emphasize understanding interindividual variability in trajectories over time. However, each concept implies that there are points in a developmental window where interindividual variability is more limited. We illustrate the multifinality concept under…

Course: Communication Research Methods. Objectives: This activity provides students with an experiential introduction to measurement theory and the methods for assessing measurement reliability. First, multiple measurements of a person's height are interpreted according to classical test theory. Second, the measurement of human height is used as…

Having started from theoretical premises, the following study showed the results obtained by research work carried out on the use of artistic methodologies in the educational designs inventoried in the database of the Spanish Heritage Education Observatory (SHEO). This article's aim was to understand and learn about the use of artistic techniques…

Monte Carlo methods are an accepted methodology in regards to generation critical values for a Maximum test. The same methods are also applicable to the evaluation of the robustness of the new created test. A table of critical values was created, and the robustness of the new maximum test was evaluated for five different distributions. Robustness…

While proof is often presented to mathematics undergraduates as a well-defined mathematical object, the proofs students encounter in different pedagogical contexts may bear salient differences. In this paper we draw on the work of Dawkins and Weber (2017) to explore variations in norms and values underlying a proof across different pedagogical…

Bayesian methods have been said to solve small sample problems in frequentist methods by reflecting prior knowledge in the prior distribution. However, there are dangers in strongly reflecting prior knowledge or situations where much prior knowledge cannot be used. In order to address the issue, in this article, we considered to apply two Bayesian…

In today's fast-paced digital world, understanding Artificial Intelligence (AI) is crucial for management students. This paper explores using the Turing test, a famous method to see if AI can act like a human, as a key tool in management education. The focus is on how this test can help students learn about AI more deeply. This paper introduces an…