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Arantes, Janine Aldous; Vicars, Mark – Learning, Media and Technology, 2023
In the recent Australian 2021 census, the socio-technical construct of algorithmically driven decision-making processes made LGBTQI+ data as a category of diversity, inclusion and belonging an absent presence. In this paper, we position the notion of 'data justice' in relation to the entrenchment of inequalities and exclusion of LGBTQI+ lives and…
Descriptors: Foreign Countries, Homosexuality, LGBTQ People, Data
Desiree Walton – ProQuest LLC, 2023
Decision-making, a key factor of organizational performance, is based on information retrieved from processing raw data. As businesses and consumers are shifting toward digital channels, more and more data is being generated through digital services and electronic devices. Big Data is argued to have significant benefits to businesses, and yet data…
Descriptors: Data Analysis, Data Collection, Construction Industry, Construction Management
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Jen Munson; Erin E. Baldinger – Journal of the Learning Sciences, 2023
Background: Emotions are inherently intertwined with learning and disciplinary identity, and this relationship demands that teachers attend and respond to students' emotions. In this study, we forward a theory that the development of "pedagogical empathy," or the capacity to understand the implications of student emotions and use…
Descriptors: Educational Practices, Psychological Patterns, Empathy, Decision Making
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Mary F. Jones; Julie Dallavis – Journal of Educational Administration, 2024
Purpose: Research shows data-informed leadership matters for school improvement and student achievement, but less is known about what motivates leaders' data use toward such outcomes, particularly in the Catholic school context. Design/methodology/approach: This qualitative interview study uses interview (n = 23) data from a sample of Catholic…
Descriptors: Data Use, Educational Improvement, Catholic Schools, Instructional Leadership
Denise Nadasen – Association of Public and Land-grant Universities, 2024
The Data Culture Framework is a high-level guide designed for institutional leaders who want to create and sustain an effective data culture on campus. The Framework offers a set of practices designed to help institutions of higher education create and maintain an effective data-informed community among institutional leaders, faculty, and staff.
Descriptors: Land Grant Universities, Data Collection, Data Use, College Faculty
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Yun Du – International Journal of Web-Based Learning and Teaching Technologies, 2024
This paper deeply discusses the transformation potential of integrating Internet big data into the pre-school education model in colleges and universities. Through in-depth analysis, we studied the challenges and opportunities faced by preschool education in colleges and universities, and discussed the innovative influence of big data technology…
Descriptors: Educational Innovation, Preschool Education, Data Analysis, Data Collection
National Council on Teacher Quality, 2025
Despite enacting well-intentioned policies to improve teacher recruitment and retention, many states continue to face significant staffing challenges, particularly in high-need schools and hard-to-staff subjects such as math, science, and special education. Two years ago, the National Council on Teacher Quality (NCTQ) set out to explore the…
Descriptors: Teacher Shortage, Teacher Recruitment, Data Collection, Information Management
Data Quality Campaign, 2021
Data reflects a series of decisions made by people--and those decisions affect the story that data tells, what it captures, and how it can and should be used to inform decision-making. Because of this, mistrust in data is often the result of incomplete information and a lack of context. This resource breaks down what it means to build trust in…
Descriptors: Data Use, Data Collection, Data Analysis, Bias
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Meholick, Sarah; Honey, Rose; LaTurner, Jason – National Center for Education Statistics, 2023
Statewide longitudinal data systems (SLDSs) can enable researchers, policymakers, and practitioners to identify and understand important relationships and trends across the education-to-workforce continuum. A well-developed SLDS can increase state and territory governments' ability to establish more informed and equitable policies, enable agency…
Descriptors: Longitudinal Studies, State Programs, State Policy, Data Collection
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Ayhan Duygulu; María Angeles Navarro Martinez; Juan Francisco Blesa Simarro; Alina Dumitrascu; Ana Rosa Gonzalez Martinez – International Education Studies, 2025
This study focuses on describing data based school management processes in Türkiye, Spain and Romania. The study group consists of 49 participants. Maximal variation and stratified sampling were applied. For internal trustworthiness, respondent validation, data triangulation and cross check were utilized. For transferability, 'expert opinions' and…
Descriptors: Foreign Countries, Administrators, Competence, Data Collection
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Øydis Hide; Dagrun Slettebø Daltveit; Åse Sivertsen; Anne Katherine Hvistendahl; Randi Lovise Kjerstad; Marit Berntsen Kvinnsland; Nina Helen Pedersen; Christina Sørensen – International Journal of Language & Communication Disorders, 2025
Background: Cleft lip and palate (CLP) treatment in Norway is centralized and multidisciplinary, with long-term follow-up from birth to adulthood. The Norwegian Registry of Cleft Lip and Palate was established to ensure high-quality care and enable systematic data collection. Speech data are a key component, assessed by speech--language therapists…
Descriptors: Foreign Countries, Validity, Reliability, Data Collection
Data Quality Campaign, 2023
Each year, state legislators introduce hundreds of bills that generate new data collections, analyses, and resources, playing a crucial role in how people access and use data. Notably, in 2023 legislators introduced and enacted bills governing cross-agency data systems--the most important step that states must take to make robust access to data…
Descriptors: Educational Legislation, Data Analysis, Data Collection, Access to Information
McLeod, Bryce D.; Jensen-Doss, Amanda; Lyon, Aaron R.; Douglas, Susan; Beidas, Rinad S. – Grantee Submission, 2022
Mental health organizations that serve youth are under pressure to adopt measurement-based care (MBC), defined as the continuous collection of client-report data used to support clinical decision making as part of standard care. However, few frameworks exist to help leadership ascertain how to select an MBC approach for a clinical setting. This…
Descriptors: Mental Health Programs, Measurement, Evidence Based Practice, Youth
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Hutt, Stephen; Das, Sanchari; Baker, Ryan S. – International Educational Data Mining Society, 2023
The General Data Protection Regulation (GDPR) in the European Union contains directions on how user data may be collected, stored, and when it must be deleted. As similar legislation is developed around the globe, there is the potential for repercussions across multiple fields of research, including educational data mining (EDM). Over the past two…
Descriptors: Data Analysis, Decision Making, Data Collection, Foreign Countries
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Gorur, Radhika – International Studies in Sociology of Education, 2020
While the use of numbers in governance has a long history, the kinds of numbers we now produce enable a range of new possibilities for monitoring, regulation and policy decision-making. Global policy actors are now calling for a steep increase in investment in education data. The growing trust in numbers has been critiqued by education policy…
Descriptors: Numbers, Governance, Sociology, Data Collection
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