This paper emphasizes the divergences in quantitative and qualitative methodological approaches when exploring trust relationships in school units. We focus on how participants responded and how the results were interpreted. This study, based on such design, questionnaires, and semi-structured interviews to understand trust among teachers and…

Nomadic communities face major challenges in providing education for their children due to their lifestyle. These challenges have been shaped by various cultural, ethnic and political factors. This requires personalised interventions to maintain education for nomadic students in different regions. However, little is known in the literature about…

New pathways are needed to recruit high-quality special education graduates to meet the urgent teacher shortage. As a result, the researchers were awarded a grant from the CEEDAR Technical Assistance Center at the University of Florida to conduct a pilot study on special education teacher recruitment. The pilot study examined the correlation of…

This documentation is for the Provisional File Version 1a of the School-Level Finance Survey (SLFS) for school year (SY) 2021-22, fiscal year 2022 (FY 22) conducted by the National Center for Education Statistics (NCES). It contains a brief description of the data collection in conjunction with information required to understand and access the…

Biomedical engineering is a rapidly evolving field, with the pace of evolution spurred by technological advancements, the increasing complexity of human health challenges, and globalization of the workforce. It is timely for biomedical engineering educators to explore afresh the competencies that graduates need at present, but more importantly,…

This Case Study examines the challenges of positionality in researching female leadership in education. It is based on research that investigated the leadership styles that female school principals in the United Arab Emirates adopted based on the influence of female gender and national culture. The research adopted a mixed-method approach and was…

Curricular design in higher education significantly impacts student success and institutional performance. However, academic programs' complexity--shaped by pass rates, prerequisite dependencies, and course repeat policies--creates challenges for administrators. This paper presents a method for modeling curricular pathways including development of…

Realist evaluations, a form of theory-driven evaluation, aim to explain how, why, for whom, and to what extent a complex health intervention works (or does not work). Realist evaluations are often "methods-flexible" and encourage the appropriate use of a range of evidence types that provide explanatory value. However, there is a lack of…

Analyzing the teaching and learning environment (TLE) through student feedback is essential for identifying curricular gaps and improving teaching practices. However, traditional feedback analysis methods, particularly for qualitative data, are often time-consuming and prone to human bias. Large Language Models (LLMs) offer a promising solution by…

With the development of mobile Internet and digital technologies, online education platforms transcend time and space constraints to provide ubiquitous learning environments. However, high dropout rates and low pass rates pose a great challenge. Predicting student performance enables early identification of academic failure tendencies,…

According to the cliché, it is not what one says so much as how one says it. In the business world, those words ring particularly true. How one presents information can influence all forms of business decisions, from level of investment to expansion to downsizing and everything in between. This brings up significant questions relating to the…

Data visualization technologies are powerful tools for telling evidence-based narratives about oneself and the world. This paper contributes to the literature on data science education by examining the sociotechnical practices of data wrangling--strategies for selecting and managing large, aggregated datasets to produce a model and story. We…

In the contemporary society a massive amount of data is generated continuously by various means, and they are called Big-Data sets. Big Data has potential and limits which need to be understood by statisticians and statistics consumers, therefore it is a challenge to develop Big-Data Literacy to support the needs of constructive, concerned, and…

"Using Data for Continuous Improvement in Educator Preparation" provides case studies that illuminate and contextualize the ways in which educator preparation programs determine the data they need to improve, collect data, analyze data, share data with stakeholders, and close the loop by making focused improvements based on the data.…

In undergraduate research settings, students are likely to encounter anomalous data, that is, data that do not meet their expectations. Most of the research that directly or indirectly captures the role of anomalous data in research settings uses post-hoc reflective interviews or surveys. These data collection approaches focus on recall of past…