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Cheryl Burleigh; Andrea M. Wilson – Journal of Educational Technology Systems, 2024
With the advent of readily accessible generative artificial intelligence (GAI), a concern exists within the academic community that research data collected in the context of conducting doctoral dissertation research is authentic. The purpose of the present study was to explore the role of GAI in the production of new research paying particular…
Descriptors: Artificial Intelligence, Data Collection, Doctoral Dissertations, Research Methodology
Emma Day; Kruakae Pothong; Ayça Atabey; Sonia Livingstone – Learning, Media and Technology, 2024
A socio-legal analysis of the UK governance regime for data collected from children at school for teaching and learning contrasts the government-mandated data collection by schools to inform educational policy and planning with data processed and shared with third parties by commercial EdTech providers. We find the former is effectively governed…
Descriptors: Foreign Countries, Data Collection, Information Security, Student Records
Kearney, Christopher A.; Childs, Joshua – Improving Schools, 2023
School attendance and absenteeism are critical targets of educational policies and practices that often depend heavily on aggregated attendance/absenteeism data. School attendance/absenteeism data in aggregated form, in addition to having suspect quality and utility, minimizes individual student variation, distorts detailed and multilevel…
Descriptors: Data Analysis, Attendance, Educational Policy, Causal Models
Seda Sakar; Sema Tan – Gifted Child Quarterly, 2025
Many articles have been published in gifted education in recent years. This study aims to provide a comprehensive review of the evolution of academic studies in gifted education. In this context, the structural topic modeling (STM) method was used to analyze the topics and trends in the field. STM is a machine learning technique that utilizes…
Descriptors: Gifted Education, Educational Trends, Educational Research, Research Methodology
Jitpicha Jarayapun – Journal of Interdisciplinary Studies in Education, 2024
A staff study (SS) is an administrative tool used for decision-making, involving comprehensive data gathering and analysis to resolve issues. Particularly crucial in military settings where classified information limits resources, staff studies also demonstrate their value in interdisciplinary academic fields. This article emphasizes the…
Descriptors: Foreign Countries, Military Schools, Educational Policy, Language Tests
Buitrago-Ropero, Mauricio Esteban; Ramírez-Montoya, María Soledad; Laverde, Andrés Chiappe – Interactive Learning Environments, 2023
Digital footprints (DF) offer relevant information about educational activities and processes related to strategies of academic assessment, identification of skills and psychological traits of students, and permanence and dropout trends, etc. This study analyzes scientific evidence on the use of DF in education, and shows the results of a…
Descriptors: Educational Technology, Technology Uses in Education, Learning Analytics, Social Networks
Rhona Stallard; Emeritus Noírín Hayes; Ann Marie Halpenny – Irish Educational Studies, 2023
Current approaches to research in the field of Early Childhood Education and Care (ECEC), in particular in relation to methods designed to interrogate policy and practice developments, tend not to focus on gathering empirical data through collaborative networks. This article provides a critical reflection on a novel qualitative methodological…
Descriptors: Early Childhood Education, Child Care, Stakeholders, Attitudes
Kearney, Christopher A.; Childs, Joshua – Preventing School Failure, 2023
School attendance/absenteeism (SA/A) is a crucial indicator of health and development in youth but educational policies and health-based practices in this area rely heavily on a simple metric of physical presence or absence in a school setting. SA/A data suffer from problems of quality (reliability, construct validity, data integrity) and utility…
Descriptors: Attendance, Educational Policy, Health, Improvement
Sahlgren, Otto – Learning, Media and Technology, 2023
As awareness of bias in educational machine learning applications increases, accountability for technologies and their impact on educational equality is becoming an increasingly important constituent of ethical conduct and accountability in education. This article critically examines the relationship between so-called algorithmic fairness and…
Descriptors: Algorithms, Accountability, Data Collection, Educational Policy
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
Ian Hardy; Vicente Reyes; Louise G. Phillips; M. Obaidul Hamid – Journal of Education Policy, 2024
Data infrastructures exist in a variety of formats. This article draws on the insights of senior personnel involved in developing a new data dashboard in one state jurisdiction in Australia. While literature on dashboards often focuses on the teachers and learners influenced by them, there is less attention to those involved in their development…
Descriptors: Learning Analytics, Learning Processes, Learning Management Systems, Computer Software
Ansell, Charles – Change: The Magazine of Higher Learning, 2021
Complete College America (CCA) is partnered with the National Student Clearinghouse in promoting the latter's Postsecondary Data Partnership (PDP), a data and reporting tool for tracking student success metrics. The PDP is offered at nominal cost, built for democratized data access, and encompasses transfer data native to Clearinghouse products,…
Descriptors: Data Collection, Data Use, Decision Making, Higher Education
Adrienne Coleman; Traci Ellis – Athens Journal of Education, 2023
Both the United States and the United Nations have identified, examined, and put out a call to action to address the educational inequities that have disproportionately and negatively affected racially minoritized students, as well as those from a lower socioeconomic background, and poorer countries. Data from the Nations Report Card and the…
Descriptors: Equal Education, Educational Policy, Policy Formation, Action Research
Paige Kowalski – State Education Standard, 2024
Everyone who uses student information has a responsibility to maintain students' privacy and the security of their data. Ensuring student data privacy is about so much more than complying with the Family Educational Rights and Privacy Act (FERPA). While privacy must be top of mind when thinking about collecting and using personally identifiable…
Descriptors: State Boards of Education, State Agencies, Public Education, Privacy
Brown, Michael; Klein, Carrie – About Campus, 2023
The American College Personnel Association recognized the increased prominence of digital technologies in student affairs work, developing a technology competency area that includes foundational, intermediate, and advanced objectives for data use. However, as the role of technology use in student affairs practice rapidly changes, it is…
Descriptors: Data Use, Social Justice, Equal Education, Technology Uses in Education