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Lynn Rosalina Gama Alves; William de Souza Santos – Information and Learning Sciences, 2024
Purpose: This study aims to analyze the platforming scenario at a Brazilian university as well as the data security process for students and professors. Design/methodology/approach: This research brings an analysis through a qualitative approach of the platformization process in a Brazilian teaching institution. Findings: The results point to a…
Descriptors: Foreign Countries, Universities, Data, Information Security
Timothy A. Drake – Leadership and Policy in Schools, 2024
In this review, I examined the last two decades of research on data use in education to outline the ways in which principals used data to inform their own leadership practices. I found three themes: first, student achievement data were the most widespread form of data that principals used; second, principals' work has been reshaped by teacher…
Descriptors: Principals, Data Use, Academic Achievement, Teacher Evaluation
Stacey Lynn von Winckelmann – Information and Learning Sciences, 2023
Purpose: This study aims to explore the perception of algorithm accuracy among data professionals in higher education. Design/methodology/approach: Social justice theory guided the qualitative descriptive study and emphasized four principles: access, participation, equity and human rights. Data collection included eight online open-ended…
Descriptors: Prediction, Algorithms, Racism, Accuracy
Joshua M. Rosenberg; Conrad Borchers; Sondra M. Stegenga; Macy A. Burchfield; Daniel Anderson; Christian Fischer – Learning, Media and Technology, 2024
Schools and school districts use social media for a variety of reasons, but alongside the benefits of schools' social media use come potential risks to students' privacy. Using a novel dataset of around 18 million Facebook posts by schools and districts in the United States, we explore the extent to which personally identifiable information of…
Descriptors: Social Media, Elementary Schools, Secondary Schools, Information Security
Marissa J. Filderman; Samantha A. Gesel – TEACHING Exceptional Children, 2024
Data-based decision making (DBDM) is a process of using student data to inform instructional decisions and intensify intervention for students whose data indicate inadequate academic and behavioral progress. Data teams, an important structure for DBDM, are a collaborative group of school faculty who meet to systematically analyze student data,…
Descriptors: Evidence Based Practice, Decision Making, Data Use, Intervention
Mann, Emily Zoe; Jacobs, Stephanie A.; Kinsley, Kirsten M.; Spears, Laura I. – Information and Learning Sciences, 2023
Purpose: Building on past studies of library privacy policies, this review looks at how privacy information is shared at universities and colleges in the state of Florida. Beyond the question of whether a library-specific privacy policy exists, this review evaluates what is covered in the policies -- whether topics such as how student data is…
Descriptors: Academic Libraries, Policy Analysis, Privacy, Student Records
Harrison P. Johnson – College and University, 2024
This article will explore how the influence of the Historically Black Colleges and Universities (HBCU) culture, benefits of inclusionary leadership practices, and organizational structure impact the Family Educational Rights and Privacy Act of 1974 (FERPA) implementation and adherence. The purpose of this article will be to educate and influence…
Descriptors: Black Colleges, Parent Rights, Educational Legislation, Privacy
Lord, Susan M.; Ohland, Matthew W.; Orr, Marisa K.; Layton, Richard A.; Long, Russell A.; Brawner, Catherine E.; Ebrahiminejad, Hossein; Martin, Baker A.; Ricco, George D.; Zahedi, Leila – IEEE Transactions on Education, 2022
Contribution: This work provides evidence of various approaches to studying longitudinal student unit record data in undergraduate education in the USA and the outcomes that can be realized using a large multi-institutional longitudinal dataset, Multiple-Institution Database for Investigating Longitudinal Development (MIDFIELD). Background:…
Descriptors: Longitudinal Studies, Academic Records, Student Records, Undergraduate Students
Camille M. Farrell – Online Journal of Distance Learning Administration, 2024
University of Central Oklahoma's (UCO) Student Transformative Learning Record (STLR) leverages the Learning Management System (LMS), rubrics, an online dashboard, transcript services, and badging to assess students' employability and durable soft-skills. Featured by the Chronicle for Higher Ed, this Comprehensive Learner Record model has helped…
Descriptors: Transformative Learning, Employment Potential, Soft Skills, Student Evaluation
Shabnam Ara S. J.; Tanuja Ramachandriah; Manjula S. Haladappa – Online Learning, 2025
Predicting learner performance with precision is critical within educational systems, offering a basis for tailored interventions and instruction. The advent of big data analytics presents an opportunity to employ Machine Learning (ML) techniques to this end. Real-world data availability is often hampered by privacy concerns, prompting a shift…
Descriptors: Learning Analytics, Privacy, Artificial Intelligence, Regression (Statistics)
Sara Sullivan; Julie Fell; Kathryn Stoltenberg; Jessica Alberhasky – College and University, 2024
The University of Iowa (UI) is the state of Iowa's flagship institution; a public research one, division one university in the Big Ten Conference (B1G) with twelve colleges. One hidden gem in the accomplishments of the Office of the Registrar is UI's FERPA Team (UI-FT); a point of pride unknown to many but greatly appreciated by those who know the…
Descriptors: Educational Legislation, Student Records, Privacy, Parent Rights
Martin Hermida; Raffael Meier; Iwan Schrackmann; Nina Imlig-Iten; Eva Marinus – Journal of Media Literacy Education, 2024
Safeguarding personal digital data is crucial and requires appropriate training. However, privacy remains a novel topic, leaving teachers with limited guidance. This study investigates how elementary school students perceive personal data and assesses pre-service teachers' accuracy in predicting children's responses. Employing Nissenbaum's…
Descriptors: Student Records, Elementary School Students, Sharing Behavior, Privacy
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
Onesme Niyibizi – Pedagogical Research, 2024
This study employed a qualitative research design to investigate the utilization of soft pedagogical documents among twelve mathematics teachers in five purposively sampled public secondary schools. Data was collected through interviews and analyzed thematically. The study, rooted in social constructivism theory, discovered a mixed pattern in the…
Descriptors: Public Schools, Documentation, Lesson Plans, Student Records
Kerrin von Engelhardt – Paedagogica Historica: International Journal of the History of Education, 2024
This paper describes the Berlin "Abitur" examination in the twentieth century and its written documentation in files. By the late nineteenth century, the "Abitur" examination was fully established in Prussia and with it a graduation certificate that was obligatory for university entrance. Thus, the "Abitur"…
Descriptors: Educational History, Exit Examinations, Secondary School Students, Student Records