Personality has been identified as a possible antecedent to emotions experienced in the foreign language (FL) classroom. However, contrasting results and differing personality models have resulted in ambiguous findings. This study set out to delve deeper into the role of personality as a predictor of FL emotions through a series of increasingly…

Inclusive research combines the expertise of academically trained researchers with the lived experience of individuals with disabilities to render results that are more accessible, accountable, and meaningful to the disability community. In this case study, adults with intellectual and developmental disabilities (IDD) contributed as co-researchers…

An animation-based drawing learning model involves simple animation from the beginning to the end of the drawing, with the teacher acting as a facilitator and guide. The research is based on the fact that there are still many children who have difficulty expressing themselves through their drawings due to low imagination. The goal of this study is…

This work aimed to outline the first stages for the development of a pedagogical model for teaching-learning of expressive content within physical education (creative body movement). Drawing on several suggestions from previous models' conceptualizations, we explore and present the theoretical foundations, practical considerations, and assumptions…

The demand for flexible online learning models, fueled by technological advancements and exacerbated by the COVID-19 pandemic, has necessitated creative solutions to support millions of students enrolled in online programs. Higher Education leaders, faced with this growing demand and lacking expertise in online learning, have turned to outsourced…

A significant body of recent research in the field of Learning Analytics has focused on leveraging machine learning approaches for predicting at-risk students in order to initiate timely interventions and thereby elevate retention and completion rates. The overarching feature of the majority of these research studies has been on the science of…

In the contemporary digitalised knowledge society, work-integrated professional development is an important and continuous activity. Continuous professional development should preferably be a hybrid format, where academia collaborates with industry and the surrounding society in a multi-directed exchange of ideas. Continuous professional…

Research has shown that multiple-indicator multiple-cause (MIMIC) models can result in inflated Type I error rates in detecting differential item functioning (DIF) when the assumption of equal latent variance is violated. This study explains how the violation of the equal variance assumption adversely impacts the detection of nonuniform DIF and…

Most existing diagnostic models are developed to detect whether students have mastered a set of skills of interest, but few have focused on identifying what scientific misconceptions students possess. This article developed a general dual-purpose model for simultaneously estimating students' overall ability and the presence and absence of…

To develop a love of reading in the young, teachers need rich repertoires of children's literature and other texts. However, the significance of this subject knowledge is rarely given the attention it deserves in policy, practice, or training contexts. This article, drawing on survey data from England and Finland, underlines these concerns. It…

Cognitive diagnosis models (CDMs) are the assessment tools that provide valuable formative feedback about skill mastery at both the individual and population level. Recent work has explored the performance of CDMs with small sample sizes but has focused solely on the estimates of individual profiles. The current research focuses on obtaining…

Recently, deep learning has become a pervasive tool in prediction problems for structured and/or unstructured big data in various areas including science and engineering. In particular, deep neural network models (i.e. a basic core model of deep learning) can be viewed as an extension of statistical models by going through the incorporation of…

Quantile regression (QR) provides an alternative to linear regression (LR) that allows for the estimation of relationships across the distribution of an outcome. However, as highlighted in recent research on the motherhood penalty across the wage distribution, different procedures for conditional and unconditional quantile regression (CQR, UQR)…

Mathematical modelling has acquired relevance in different fields at an international level, both in education and research. This article states that, throughout the construction of the theoretical corpus of this mathematical process and competency -- among others -- two big issues have occurred: one of terminological nature since the definitions…

The objectives of research were to develop the new normal administration model according to the principles of good governance for schools under the Office of Primary Educational Service Area in Sakon Nakhon Province. The findings were as follows: I) Components of new normal administration for schools, consisting of 8 components: 1) New Normal…