Publication Date
In 2025 | 0 |
Since 2024 | 3 |
Since 2021 (last 5 years) | 9 |
Since 2016 (last 10 years) | 14 |
Since 2006 (last 20 years) | 18 |
Descriptor
College Students | 18 |
Data Collection | 18 |
Information Security | 18 |
Privacy | 13 |
Student Records | 10 |
Higher Education | 7 |
Data Use | 6 |
Access to Information | 5 |
Foreign Countries | 5 |
Outcomes of Education | 4 |
Computer Security | 3 |
More ▼ |
Source
Author
Roberson, Amanda Janice | 2 |
Badurina, Boris | 1 |
Blackmon, Stephanie J. | 1 |
Brooks, Rochelle | 1 |
Campbell, Jim | 1 |
Casagrande, Marco | 1 |
Chinsook, Kittipong | 1 |
Conti, Mauro | 1 |
Copa, Nancy | 1 |
Fedeli, Monica | 1 |
Frank Stinar | 1 |
More ▼ |
Publication Type
Journal Articles | 12 |
Reports - Descriptive | 7 |
Reports - Research | 7 |
Reports - Evaluative | 4 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 18 |
Postsecondary Education | 17 |
Elementary Secondary Education | 1 |
Secondary Education | 1 |
Audience
Policymakers | 1 |
Researchers | 1 |
Students | 1 |
Location
Arkansas | 1 |
California | 1 |
China | 1 |
Croatia | 1 |
Greece | 1 |
India | 1 |
Italy | 1 |
Japan | 1 |
Minnesota | 1 |
Missouri | 1 |
New York (New York) | 1 |
More ▼ |
Laws, Policies, & Programs
Family Educational Rights and… | 2 |
Higher Education Act 1980 | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Juliana Elisa Raffaghelli; Marc Romero Carbonell; Teresa Romeu-Fontanillas – Information and Learning Sciences, 2024
Purpose: It has been demonstrated that AI-powered, data-driven tools' usage is not universal, but deeply linked to socio-cultural contexts. The purpose of this paper is to display the need of adopting situated lenses, relating to specific personal and professional learning about data protection and privacy. Design/methodology/approach: The authors…
Descriptors: Artificial Intelligence, Data Collection, Information Literacy, Intervention
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
Blackmon, Stephanie J. – Change: The Magazine of Higher Learning, 2023
Student privacy is a critical area of higher education that deserves greater focus, particularly as student data digitalization increases. Many colleges and universities use data literacy as a way to prepare students, sometimes from different disciplines, to work with others' data postgraduation. Data literacy can be an avenue for helping all…
Descriptors: Privacy, Data Collection, Data Use, Higher Education
Jenay Robert – EDUCAUSE, 2024
Increasingly, data collection and analysis are core functions of higher education institutions. However, an EDUCAUSE QuickPoll revealed that just one in four (25%) of respondents believed the structure of data functions at their institution was ideal for their analytics needs, and only 16% of respondents indicated that their institutional data…
Descriptors: Higher Education, Learning Analytics, Data Collection, Privacy
Casagrande, Marco; Conti, Mauro; Fedeli, Monica; Losiouk, Eleonora – Journal of Cybersecurity Education, Research and Practice, 2023
Phishing is a common social engineering attack aimed to steal personal information. Universities attract phishing attacks because: (1) they store employees and students sensitive data; (2) they save confidential documents; and (3) their infrastructures often lack security. In this paper, we showcase a phishing assessment at the University of…
Descriptors: Fraternities, Computer Security, Information Security, Higher Education
Gilman Ranogajec, Mirna; Badurina, Boris – Education for Information, 2021
In today's Information society it is an everyday scenario to be a part of an online community such as social media. Participation has become almost mandatory to the point of acting as a virtual extremity to one's physical environment. This virtual extremity is the individual's window to the outside world and vice versa. The process of being a part…
Descriptors: Confidence Testing, Social Media, Information Security, Privacy
Copa, Nancy; Campbell, Jim; Roberson, Amanda Janice – Institute for Higher Education Policy, 2022
As support continues to grow across the country and across the political spectrum for the federal student-level data network (SLDN) proposed in the College Transparency Act (CTA), IHEP partnered with AEM Education Services, with input from RTI International, to further build out a roadmap to support the implementation of the SLDN. "Frameworks…
Descriptors: Information Networks, College Students, Data Collection, Data Use
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
Isaac, James; Velez, Erin; Roberson, Amanda Janice – Institute for Higher Education Policy, 2023
Students, families, colleges, and lawmakers need clearer information on postsecondary outcomes to make informed decisions. By leveraging data available at institutions and federal agencies, a nationwide student-level data network (SLDN) would close information gaps that persist in our higher education landscape to answer critical questions about…
Descriptors: College Students, Data, Information Networks, Program Design
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
Parks, Rodney; Parrish, Jesse; Taylor, Alexander – College and University, 2018
Learners of all types must be able to represent their achievements to prospective employers and education institutions to prove that they have the requisite knowledge and skills for success. The most recognized means by which students represent themselves is the credential. As in many other industries that engage with customers, partners, and…
Descriptors: Credentials, Academic Records, College Students, Employment Qualifications
Whitfield, Christina – State Higher Education Executive Officers, 2016
Analysis of student-level data to inform policy and promote student success is a core function of executive higher education agencies. Postsecondary data systems have expanded their collection of data elements for use by policymakers, institutional staff, and the general public. State coordinating and governing boards use these data systems for…
Descriptors: Student Records, College Students, Data Collection, Information Security
Perry, Angela – Project on Student Debt, 2019
California has long been a national and global leader in developing and maintaining quality higher education options, as well as in providing financial aid and consumer protections for Californians who access that education. However, although California's colleges and the state government do collect, receive, and report a great deal of data, these…
Descriptors: Education Work Relationship, Access to Information, Wages, Data Collection
Molluzzo, John C.; Lawler, James P. – Information Systems Education Journal, 2015
Big Data is becoming a critical component of the Information Systems curriculum. Educators are enhancing gradually the concentration curriculum for Big Data in schools of computer science and information systems. This paper proposes a creative curriculum design for Big Data Analytics for a program at a major metropolitan university. The design…
Descriptors: Curriculum Design, Data Analysis, Data Collection, Information Systems
Peña, Christina – Workforce Data Quality Campaign, 2018
Employers are demanding higher skilled and better educated workers. Yet employer sentiment and the high default rate on student loans suggests a mismatch between the programs students are completing and the work they are able to find. To report on trends in postsecondary education, the U.S. Department of Education (ED) mostly relies on surveys of…
Descriptors: Employment Qualifications, Job Skills, Program Effectiveness, Postsecondary Education
Previous Page | Next Page »
Pages: 1 | 2