In comparative VET research, a model developed from the perspective of comparative politics, the so-called 'skill formation systems typology' developed by Busemeyer and Trampusch, dominates the discourse. However, models to compare VET systems often rely on a narrow set of assumptions and fail to account for their complexity. We therefore review…

Computational and animal models suggest that the unlearning or pruning of incorrect meanings matters for word learning. However, it is currently unclear how such pruning occurs during word learning and to what extent it depends on supervised and unsupervised learning. In two experiments (N[subscript 1] = 40; N[subscript 2] = 42), adult…

The broader aim of this study is the corpus-based investigation of the written language production process. To this end, temporal markers have been keylog recorded alongside the writing processes to exploit pauses to segment the speech product into linear units of performance. However, identifying these pauses requires selecting the relevant…

Culture and language shape the way people read. Yet, within many popular reading models of reading development, culture is a component, if featured at all. Illustrated through examples of pro-Black, culturally sustaining, emancipatory practices of one teacher, this article highlights the Cultural Sustenance View of Reading, a reader model that can…

During the first half of the twentieth century, engineers consolidated themselves as members of an early elite of technical professionals. To achieve this status, these professionals deployed a series of tools that allowed them to legtimise their own discourse. However, in addition to the use of their own resources, they also required compliance…

Most methods for structural equation modeling (SEM) focused on the analysis of covariance matrices. However, "Historically, interesting psychological theories have been phrased in terms of correlation coefficients." This might be because data in social and behavioral sciences typically do not have predefined metrics. While proper methods…

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…

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…

This research aims to develop indicators of inspirational leadership among the school administrators. The research is divided into 3 phases: Phase 1: develop indicators of inspirational leadership among the directors. The draft behavioral indicators were presented 7 experts to check their appropriateness and feasibility. Phase 2 examined the…

In recent years, remarkable advancements in artificial intelligence technology have created new opportunities for transforming educational systems and enhancing student learning. This study focuses on designing a model for an AI-based intelligent assistant to provide a personalized learning experience in higher education. A qualitative approach…

Item response theory (IRT) encompasses a broader class of measurement models than is commonly appreciated by practitioners in educational measurement. For measures of vocabulary and its development, we show how psychological theory might in certain instances support unipolar IRT modeling as a superior alternative to the more traditional bipolar…

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…