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Marcia Jean Ham – ProQuest LLC, 2021
Leveraging big data for student data analytics is increasingly integrated throughout university operations from admissions to advising to teaching and learning. Though the possibilities are exciting to consider, they are not without risks to student autonomy, privacy, equity, and educational value. There has been little research showing how…
Descriptors: Educational Policy, Personal Autonomy, Privacy, Equal Education
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
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
Brown, Michael; Klein, Carrie – Journal of Higher Education, 2020
The proliferation of information technology tools in higher education has resulted in an explosion of data about students and their contexts. Yet, current policies governing these data are limited in their usefulness for informing students, instructors, and administrators of their rights and responsibilities related to data use because they are…
Descriptors: Discourse Analysis, Privacy, School Policy, Policy Analysis
Marachi, Roxana; Quill, Lawrence – Teaching in Higher Education, 2020
The Canvas Learning Management System (LMS) is used in thousands of universities across the United States and internationally, with a strong and growing presence in K-12 and higher education markets. Analyzing the development of the Canvas LMS, we examine 1) 'frictionless' data transitions that bridge K12, higher education, and workforce data 2)…
Descriptors: Management Systems, Longitudinal Studies, Data Analysis, Higher Education
Green, Paula; Baumal, Brian – College Quarterly, 2019
Legal, privacy and ethical concerns impacted data sharing among post-secondary institutions in academic collaboration in Ontario. The legal/ethical environment was embodied by FIPPA (Freedom of Information and Protection of Privacy) legislation, Research Ethics Board protocols and Institutional Acts enacted by the provincial parliament.…
Descriptors: Privacy, Ethics, Legal Problems, Classification
Roberts, Lynne D.; Howell, Joel A.; Seaman, Kristen – Technology, Knowledge and Learning, 2017
With the increased capability of learning analytics in higher education, more institutions are developing or implementing student dashboards. Despite the emergence of dashboards as an easy way to present data to students, students have had limited involvement in the dashboard development process. As part of a larger program of research examining…
Descriptors: Higher Education, Data Collection, Data Analysis, Educational Research
Swail, Watson Scott; Fung-Angarita, Maly – Educational Policy Institute, 2018
The issue of student retention and graduation from postsecondary institutions has grown in stature over the past decade. While the last 40 years of federal and state policies have focused largely on access to college, there is now a very real interest in not only getting students into college but also helping them earn baccalaureate and other…
Descriptors: Data Collection, Postsecondary Education, College Students, School Holding Power
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
Ifenthaler, Dirk; Schumacher, Clara – Educational Technology Research and Development, 2016
The purpose of this study was to examine student perceptions of privacy principles related to learning analytics. Privacy issues for learning analytics include how personal data are collected and stored as well as how they are analyzed and presented to different stakeholders. A total of 330 university students participated in an exploratory study…
Descriptors: Student Attitudes, Privacy, Data Collection, Data Analysis
Lester, Jaime; Klein, Carrie; Rangwala, Huzefa; Johri, Aditya – ASHE Higher Education Report, 2017
The purpose of this monograph is to give readers a practical and theoretical foundation in learning analytics in higher education, including an understanding of the challenges and incentives that are present in the institution, in the individual, and in the technologies themselves. Among questions that are explored and answered are: (1) What are…
Descriptors: Educational Research, Data Collection, Data Analysis, Higher Education
Ifenthaler, Dirk; Schumacher, Clara – International Association for Development of the Information Society, 2015
The purpose of this study was to investigate if students are prepared to release any personal data in order to inform learning analytics systems. Besides the well-documented benefits of learning analytics, serious concerns and challenges are associated with the application of these data driven systems. Most notably, empirical evidence regarding…
Descriptors: Self Disclosure (Individuals), Educational Research, Data Collection, Data Analysis
Kasperiuniene, Judita; Zydziunaite, Vilma; Eriksson, Malin – Qualitative Research in Education, 2017
This qualitative study explored the self-regulated learning (SRL) of teachers and their students in virtual social spaces. The processes of SRL were analyzed from 24 semi-structured individual interviews with professors, instructors and their students from five Lithuanian universities. A core category stroking the net whale showed the process of…
Descriptors: Constructivism (Learning), Grounded Theory, Independent Study, Electronic Learning
Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
Kolman, Anita Sue – 1978
The paper discusses a study of self-disclosure patterns of 29 college men and 35 college women. The purpose of the study was to determine the extent to which college students confided in their best male friend, best female friend, mother, and father about attitudes and opinions, tastes and interests, work and studies, money, personality, and body.…
Descriptors: College Students, Comparative Analysis, Data Analysis, Females
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