This research aimed to present a model for developing the academic leadership of teachers in the 21st century under the Office of Primary Educational Service Area. This study used an integrated research method divided into two phases. Phase One aimed to study the current state of academic leadership of teachers in the 21st century under the Office…

The literature contains several models that link types of evaluation use with organizational factors. However, until now, none of them have been thoroughly verified. This study aims to empirically verify the hypotheses proposed by Steven Højlund, who suggests that the type of evaluation use in organizations is determined by the adoption mode of…

Mathematical modelling and modelling activities are important for making sense of mathematical concepts in different extracurricular and daily life contexts. However, teachers may have difficulties in designing these activities in a way to establish meaningful relationships with real life, in accordance with the modeling process and the objectives…

Information literacy (IL) is an essential skill for Biology students amidst the development of information flow. Several studies show that students' IL is still low and needs to be improved. One of the courses that students consider difficult is Animal Physiology due to the nature of the discipline. Educators tend to apply three different learning…

Program alignment with professional standards ensures that students gain competency-based skills that can be transferred to the workplace environment. Employers continue to place a greater value on these skills. Establishing curriculum alignment with professional standards can assist with annual program evaluations, student learning outcomes, and…

Purpose: This study investigated the dimensionality of language in bilingual children using measures of semantics and morphosyntax in English and Spanish. Method: Participants included 112 Spanish-English bilingual children ages 4-8 years from a wide range of language abilities and dominance profiles. Using measures of semantics and morphosyntax…

This study introduces an optimized ensemble deep neural network (Optimized Ensemble Deep-NN) to enhance the accuracy of predicting student grades. This model solves the problem of different and complicated student performance data by using deep neural networks, ensemble learning, and a number of optimization algorithms, such as Adam, SGD, and RMS…

Nowadays, it is essential to promote an interdisciplinary approach in classrooms, integrating disciplines such as biology and mathematics. This necessitates familiarity with specific problem-solving practices employed by the expert community, such as mathematical modelling. This perspective piece explores a mathematical modelling practice to…

Longitudinal data structures are frequently encountered in a variety of disciplines in the social and behavioral sciences. Growth curve modeling offers a highly extensible framework that allows for the exploration of rich hypotheses. However, owing to the presence of interrelated sources of potential data-model misfit at multiple levels, the…

We consider the following hypothesis: whereas, the institutions in charge of the teaching of mathematics for future professional mathematicians (IPM, in short) share a "didactic paradigm" (strongly based on logical arguments), there does not seem to be such a thing in secondary mathematics education. In this work, we analyse the notion…

In the complex world of educational policy, causal inferences will be debated. As we review non-experimental designs in educational policy, we focus on how to clarify and focus the terms of debate. We begin by presenting the potential outcomes/counterfactual framework and then describe approximations to the counterfactual generated from the…

Background: Advocacy through the work of many scholars in physical education and sport pedagogy highlights a significant direction towards which physical education is moving in light of calls for change. Importantly, and despite the 'newness' of the terms, 'pedagogical models' and 'Models-based Practice' (MbP) are beginning to shape the vocabulary…

Sensitivity analyses encompass a broad set of post-analytic techniques that are characterized as measuring the potential impact of any factor that has an effect on some output variables of a model. This research focuses on the utility of the simulated annealing algorithm to automatically identify path configurations and parameter values of omitted…

Expanding our understanding of the lived experience of individuals who use their creativity to realize entrepreneurial opportunity is the primary aim of this paper. Interpretative Phenomenological Analysis is used, based on two interviews of one-hour duration, with eight participants. The key contribution of this research is the recognition of the…

Cheating detection in large-scale assessment received considerable attention in the extant literature. However, none of the previous studies in this line of research investigated the stacking ensemble machine learning algorithm for cheating detection. Furthermore, no study addressed the issue of class imbalance using resampling. This study…