We examine recommendations for three key features of latent growth curve models in the structural equation modeling framework. As a basis for the discussion, we review current practice in the social and behavioral sciences literature as found in 441 reports published in the 19 months beginning in January 2019 and compare our findings to extant…

It has always been a crucial question as to what kind of education should be provided to practitioners working at different levels of public administration, starting from the street level onwards, and what kind of interactions should be used to develop their competencies once in office. However, especially in the last 30 years, as we have entered…

Despite the evidence of its effectiveness on student learning, ambitious mathematics instruction has proven to be challenging for teachers to enact. Increasingly, instructional coaching programs have become a way of providing intensive one-on-one support to teachers to improve the quality of mathematics instruction. Researchers have identified…

Emotions of learners are fundamental and significant in e-learning as they encourage learning. Machine learning models are presented in the literature to look at how emotions may affect e-learning results that are improved and optimized. Nevertheless, the models that have been suggested so far are appropriate for offline mode, whereby data for…

Dropout prediction is an important strategic instrument for universities. The Austrian academic system relies on "student activity" for university funding, defined as accumulating 16+ ECTS credits per study year. This study proposes a combined method of machine learning and ARIMA models, predicting the number of studies eligible for…

Architectural design pedagogy is indeed complex. At the early stages, basic design principles should be addressed and the design process should be taught with its multidisciplinary variables to enable each student to develop an individual approach. In this regard, the objective of this study is to propose strategies for enhancing students'…

Social mobility scholars have long been interested in estimating the effect of intergenerational mobility, typically measured by differences in the socioeconomic status between parents and offspring, on later-life outcomes of offspring. In a 2022 article "Heterogeneous Effects of Intergenerational Social Mobility: An Improved Method and New…

Spreading out study opportunities over time improves the retention of verbal material compared to consecutive study, yet little is known about the influence of temporal spacing on orthographic learning specifically. The current study addressed four questions: (1) do readers' eye movements during orthographic learning differ under spaced and massed…

This research aims to develop an adaptive digital project-based learning model enhanced with artificial intelligence technology to facilitate the creation of digital content. A systematic approach was employed, divided into three phases: 1) study and synthesis of conceptual frameworks to understand the elements and relationships of related…

While templates for academic writing, like those offered in the popular textbook "They Say/I Say," have been embraced by some, others still question the extent to which an emphasis on form comes at the expense of substance. But ancient rhetoricians offer a theory of rhetoric that unites style and substance, and Jeanne Fahnestock's modern…

This study explored a conceptual model of competency tasks using the Competency-Based Education (CBE) Scale, grounded in the OECD's competency framework, which includes knowledge, skills, values and attitudes. The survey incorporates six OECD-defined skill types essential for human learning: cognitive, metacognitive, physical, practical, emotional…

Scientific modeling is a core practice of scientific inquiry. Students' engagement in modeling can be enhanced by attending to epistemic criteria, which in science are standards used to evaluate the validity and accuracy of scientific models. While prior research has focused on students' development and use of epistemic criteria in scientific…

Considering its relationships with real life and mathematics, mathematical modeling is one of the most effective ways of learning and teaching mathematics. In this study, the effect of teaching with mathematical modeling on students' mathematics achievement was examined using the meta-analysis method. An effect size of 51 was achieved with 45…

With the rapid evolution of online learning, driven by technological advancements and the global transition to distance education during the COVID-19 pandemic, the demand for effective instructional design models has become increasingly critical. This study conducted a systematic mapping analysis of instructional design models tailored for online…

The increasing use of complex machine learning models in education has led to concerns about their interpretability, which in turn has spurred interest in developing explainability techniques that are both faithful to the model's inner workings and intelligible to human end-users. In this paper, we describe a novel approach to creating a…