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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
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Frank Stinar; Zihan Xiong; Nigel Bosch – Journal of Educational Data Mining, 2024
Educational data mining has allowed for large improvements in educational outcomes and understanding of educational processes. However, there remains a constant tension between educational data mining advances and protecting student privacy while using educational datasets. Publicly available datasets have facilitated numerous research projects…
Descriptors: Foreign Countries, College Students, Secondary School Students, Data Collection
Carrie Klein; Jessica Colorado – State Higher Education Executive Officers, 2024
Since 2010, the State Higher Education Executive Officers Association's (SHEEO) Strong Foundations survey has reported on the evolution and value of postsecondary student unit record systems (PSURSs) by illuminating the condition of state postsecondary data in the U.S. In the "Strong Foundations 2023" survey, which was administered from…
Descriptors: College Students, Student Records, Data Collection, Databases
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da Silva, Lidia M.; Dias, Lucas P. S.; Barbosa, Jorge L. V.; Rigo, Sandro J.; dos Anjos, Julio C. S.; Geyer, Claudio F. R.; Leithardt, Valderi R. Q. – Informatics in Education, 2022
Advances in information and communication technologies have contributed to the increasing use of virtual learning environments as support tools in teaching and learning processes. Virtual platforms generate a large volume of educational data, and the analysis of this data allows useful information discoveries to improve learning and assist…
Descriptors: Learning Analytics, Cooperative Learning, Distance Education, Electronic Learning
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Yacobson, Elad; Fuhrman, Orly; Hershkowitz, Sara; Alexandron, Giora – Journal of Learning Analytics, 2021
Learning analytics have the potential to improve teaching and learning in K-12 education, but as student data is increasingly being collected and transferred for the purpose of analysis, it is important to take measures that will protect student privacy. A common approach to achieve this goal is the de-identification of the data, meaning the…
Descriptors: Identification, Privacy, Field Trips, Learning Analytics
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Travis, Tiffini A.; Ramirez, Christian – portal: Libraries and the Academy, 2020
Libraries remain one of the last places on campus where the purging of usage data is encouraged and "tracking" is a dirty word. While some libraries have demonstrated the usefulness of analytics, opponents bring up issues of privacy and debate the feasibility of student-generated library data for planning and assessment. Using a study…
Descriptors: Academic Libraries, Data Collection, Learning Analytics, Ethics
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Chinsook, Kittipong; Khajonmote, Withamon; Klintawon, Sununta; Sakulthai, Chaiyan; Leamsakul, Wicha; Jantakoon, Thada – Higher Education Studies, 2022
Big data is an important part of innovation that has recently attracted a lot of interest from academics and practitioners alike. Given the importance of the education industry, there is a growing trend to investigate the role of big data in this field. Much research has been undertaken to date in order to better understand the use of big data in…
Descriptors: Student Behavior, Learning Analytics, Computer Software, Rating Scales
Anderson, Rachel – Institute for Higher Education Policy, 2019
State longitudinal data systems can be a powerful tool to support student success and spur equity-minded improvement throughout state education systems, but state policymakers must ensure that students' information is safe and secure. In a case study looking at Louisiana's efforts to secure student data, this profile illuminates some of the…
Descriptors: Data Collection, Privacy, Student Records, Data Use
Nowicki, Jacqueline M. – US Government Accountability Office, 2020
A cybersecurity incident is an event that actually or potentially jeopardizes a system or the information it holds. When a student's personal information is disclosed, it can lead to physical, emotional, and financial harm. Organizations are vulnerable to data security risks, including over 17,000 public school districts and approximately 98,000…
Descriptors: Information Security, Computer Security, Student Records, Elementary Secondary Education
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Buxton, Patricia S. – Journal of Research in Education, 2021
The abundance of student records housed in K-12 schools across the country represents a largely untapped resource in the study of behavioral phenomena among children. Careful review of these existing records affords educational researchers an alternative to the heavily used survey method of data collection. While record review studies are common…
Descriptors: Student Records, Educational Research, Research Methodology, Child Behavior
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Siegel, Peter; Ramirez, Nestor; Johnson, Ruby – National Center for Education Statistics, 2021
This publication describes the methods and procedures used for the 2017-18 National Postsecondary Student Aid Study, Administrative Collection (NPSAS:18-AC). It also provides information that will be helpful to analysts in accessing and understanding the restricted-use files containing the NPSAS:18-AC data. NPSAS:18-AC includes cross-sectional,…
Descriptors: Student Financial Aid, College Students, Postsecondary Education, Institutional Characteristics
Cynthia N. Carvajal; Felecia Russell; Yadira Ortiz – Association for Institutional Research, 2024
Inclusivity in data reports for undocumented students can be difficult to achieve. By nature of those students' status and livelihood, there is contention among academics and practitioners on whether this is a population that should not be formally tracked or identified, for a variety of reasons. Concerns about tracking arise because of the…
Descriptors: Inclusion, Undocumented Immigrants, Critical Theory, Privacy
State Educational Technology Directors Association, 2021
Data modernization and security practices allow educational leaders to provide accurate, secure, and timely data that can be securely exchanged, shared, and connected in order to provide instant understanding of school performance, student attendance, academic performance, or funding from multiple sources. This matters because: (1) Data…
Descriptors: Data, Information Security, Student Records, Learning Analytics
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Mimis, Mohamed; El Hajji, Mohamed; Es-saady, Youssef; Oueld Guejdi, Abdellah; Douzi, Hassan; Mammass, Driss – Education and Information Technologies, 2019
The educational recommendation system to provide support for academic guidance and adaptive learning has always been an important issue of research for smart education. A bad guidance can give rise to difficulties in further studies and can be extended to school dropout. This paper explores the potential of Educational Data Mining for academic…
Descriptors: Educational Counseling, Guidance, Educational Research, Data Collection
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Kyritsi, Kyriaki H.; Zorkadis, Vasilios; Stavropoulos, Elias C.; Verykios, Vassilios S. – Journal of Interactive Media in Education, 2019
Recent technological advances have led to tremendous capacities for collecting, storing and analyzing data being created at an ever-increasing speed from diverse sources. Academic institutions which offer open and distance learning programs, such as the Hellenic Open University, can benefit from big data relating to its students' information and…
Descriptors: Educational Research, Data Collection, Student Records, Information Security
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