The paper focuses on the description of the value of education in pregraduate preparation of students of teaching disciplines in Ukraine. The aim of the text is to specify the course of preparation for the profession of teacher in the context of values from the perspective of students of selected pedagogical faculties in Ukraine. The issue of…

The purpose of this study was to examine dispositions of teacher candidates, explore differences in leadership aspirations between traditional and alternative certification groups, and develop an unbiased predictive model for identifying future education leaders. Literature suggests that dispositions can be assessed, taught, and developed, but…

Since near the very beginning of electronic computing, Monte Carlo particle transport has been a fundamental approach for solving computational physics problems. Due to the high computational demands and inherently parallel nature of these applications, Monte Carlo transport applications are often performed in the supercomputing environment. That…

Introduction: Planned missing designs are relatively new to the field of psychological and developmental research. These designs allow researchers to randomly assign participants to missing data conditions; participants are either randomly selected to receive or not receive particular measures or items during data collection (Little &…

This chapter focuses on one particular practice that came to the forefront in over a dozen teacher education sessions with government schoolteachers in southern India--the reflective practice "Dialogic Modeling." This chapter delves into two primary facets of dialogic modeling: how it operates and how it fosters opportunities to study…

Small samples are common in growth models due to financial and logistical difficulties of following people longitudinally. For similar reasons, longitudinal studies often contain missing data. Though full information maximum likelihood (FIML) is popular to accommodate missing data, the limited number of studies in this area have found that FIML…

While states are no longer required to set up teacher evaluation systems based in significant part on student test scores, quite a few continue to use value-added (VAMs) or student growth percentile (SGP) models for that purpose. In this study, we analyzed three years of teacher data to illustrate the performance of teachers' median growth…

As community college students often come from lower socioeconomic backgrounds, report greater financial challenges, and experience higher cohort default rates on student loans compared to peers attending four-year institutions, it is important to understand how community college students develop a sense of financial wellness. Moreover, research…

Knowledge tracing (KT), the task of tracking the knowledge state of a student over time, has been assessed actively by artificial intelligence researchers. Recent reports have described that Deep-IRT, which combines item response theory (IRT) with a deep learning method, provides superior performance. It can express the abilities of each student…

Students with autism spectrum disorder (ASD) often display serious problem behavior that hinders educational and social progress. Educators in public schools are often untrained in the use of intensive evidence-based positive behavior technologies. This study describes the preliminary investigation of a coaching and consulting model for increasing…

The Beer-Lambert law is a fundamental relationship in chemistry that helps connect macroscopic experimental observations (i.e., the amount of light exiting a solution sample) to a symbolic model composed of system-level parameters (e.g., concentration values). Despite the wide use of the Beer-Lambert law in the undergraduate chemistry curriculum…

This 'teaching tip' shares the success of a service-learning opportunity created to work with university students in a meaningful way in the community. It describes a program called Fit 4 Tots that resulted in more toddlers, university students and community members benefiting from learning and movement experiences.

This article introduces a novel approach to remote laboratory instruction, specifically designed for teaching three-dimensional modeling using Blender software. The lab uses virtual machines to provide students with the necessary computational power to carry out the course activities, along with the correct version of the software. The flipped…

The rapid adoption of deep learning models has resulted in many business services becoming model services, yet most AI systems lack the necessary automation and industrialization capabilities. This leads to heavy reliance on manual operation and maintenance, which not only consumes power but also causes resource wastage and stability issues during…

This research explores the suitability of system-based simulation analysis for higher education (HE) policy-planning. A dynamic system model of the Finnish university funding system covering bachelor-level students is presented. The results show that the model captures the nature of the current funding system, which can be considered a zero-sum…