While research into PhD programs and doctoral students' experiences has increased in recent years, fieldwork is overlooked as a source of learning and support. In education, the focus of this paper, fieldwork remains laced with notions of the anthropologist gathering data in a place that is not their own, which narrowly construct the role of the…

Despite the widespread adoption of data-based decision making (DBDM) policies in schools around the world, there is limited understanding of how teachers use DBDM in K-12 classrooms and the impact of DBDM training on teacher practices and student outcomes. This scoping review aims to provide an overview of the existing literature on the uses of…

This study aimed to examine pre-service physical education teachers' (PPETs) subjective theories of assessment as they formed prior to the professional training of assessment during PETE. Using a phenomenological approach, 11 PPETs were interviewed. Data were analyzed in Nvivo 12. Findings revealed that (a) PPETs understood assessment as data…

United Nations Sustainable Development Goal (SDG) 4 aims to ensure inclusive and equitable quality education and promote lifelong learning opportunities for all. SDG 4 includes 10 targets, of which Target 4.b aims to expand higher education scholarships for developing countries. Target 4.b leverages the benefits of international education to…

This exciting new book provides school leaders with a highly effective framework for culturally responsive and equity-driven leadership. School culture is how you lead, how your core values are represented in the work you do daily, and how stakeholders are impacted by what you choose. Author and educator Shauna McGee helps you grapple with the…

The Georgia Institute of Technology is proud to host the seventeenth International Conference on Educational Data Mining (EDM) in Atlanta, Georgia, July 14-July 17, 2024. EDM is the annual flagship conference of the International Educational Data Mining Society. This year's theme is "New tools, new prospects, new risks--educational data…

College and career readiness is crucial to success in postsecondary education, employment, and independent living. The College and Career Readiness for Transition (CCR4T) assessment is valid and reliable and can assist in transition planning for students with disabilities. The CCR4T assessment was designed for planning with students with and…

There is less attention on examining algorithmic fairness in secondary education dropout predictions. Also, the inclusion of protected attributes in machine learning models remains a subject of debate. This study delves into the use of machine learning models for predicting high school dropouts, focusing on the role of protected attributes like…

Educational data mining increasingly leverages enrollment data for higher education applications. However, these data describe final end-of-semester course selections, not the often complex enrollment activities leading up to a finalized schedule. Fine-grain transaction data of student waitlist, add, and drop actions during academic semester…

State education data systems help policymakers use data to evaluate the impact of their efforts to improve education. By disaggregating the data -- that is, breaking it out by different student subgroups -- policymakers can ensure that their efforts address the needs of students who have been traditionally underserved in educational settings. Yet…

The 2020 election brought about legislative change across the country. New and veteran policymakers need information about the schools in their state. What programs are the most cost effective and work best for students? How can states attract and retain great teachers? What information do parents need to ensure that their kids are on track to…

Statistical tests have been an important tool for interpreting the results of research correctly. The factors that influence the determination of the statistical test are research purpose, hypothesis and data. Today, statistical tests are used more frequently, and they aim to analyze whether statistical tests are used in accordance with research.…

Mathematics teachers are often keen to find ways of connecting mathematics with the real world. One way to do so is to teach mathematical modelling using real data. Mathematical models have two components: a model structure and parameters within that structure. Real data can be used in one of two ways for each component: (a) to…

While it is easy to assume that university students who wait until the last minute to complete surveys for their class research requirements provide low-quality data, this issue has not been empirically examined. The goal of the present study was to examine the relation between student research procrastination and two important data quality…

The purpose of this article is to overview various challenges that prospective authors of quality systematic reviews should be prepared to address. These challenges pertain to all phases of the review process: from posing a critical question worthy of pursuit and executing a search procedure that is appropriately framed and transparently recorded,…