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Rory McGreal – International Journal of E-Learning & Distance Education, 2023
Micro-credentials can provide easily accessible and transparent evidence of skills or knowledge that have been certified by an authority, based on small units of learning. The recognition and transfer of credits is becoming essential, as an increasing number of students are studying at different institutions, often at the same time, online or in…
Descriptors: Microcredentials, Information Storage, Databases, Technology Uses in Education
Matthieu Tenzing Cisel – International Review of Research in Open and Distributed Learning, 2023
Due notably to the emergence of massive open online courses (MOOCs), stakeholders in online education have amassed extensive databases on learners throughout the past decade. Administrators of online course platforms, for instance, possess a broad spectrum of information about their users. This information spans from users' areas of interest to…
Descriptors: MOOCs, Ethics, Risk, Databases
Culbertson, Anna; Lanthorne, Amanda – Across the Disciplines, 2021
This article considers ethical issues of consent and privacy during each phase of archival stewardship. The authors examine flaws in traditional archival theory that contribute to oppression and silencing and highlight unique collections and practices at San Diego State University that begin to set the 21st century archive apart. We focus on…
Descriptors: Praxis, Informed Consent, Privacy, Ethics
Hendrickson, Peggy Bell – College and University, 2021
In this digital age, how do institutions know what documents to accept and from whom? This year's school closures, distance learning, online education, and other upheavals have made it even more critical for institutions to ensure that they are accepting official academic records from valid sources. Typically, receiving official documents…
Descriptors: Information Dissemination, Computer Mediated Communication, Academic Records, Electronic Mail
Sims, Sam; Anders, Jake; Zieger, Laura – Journal of Research on Educational Effectiveness, 2022
Comparative interrupted time series (CITS) designs evaluate impact by modeling the relative deviation from trends among a treatment and comparison group after an intervention. The broad applicability of the design means it is widely used in education research. Like all non-experimental evaluation methods however, the internal validity of a given…
Descriptors: Validity, Comparative Analysis, Statistical Analysis, Intervention
Reeves, J. Jeffery; Longhurst, Christopher A.; San Miguel, Stacie J.; Juarez, Reina; Behymer, Joseph; Ramotar, Kevin M.; Maysent, Patricia; Scioscia, Angela L.; Millen, Marlene – Journal of American College Health, 2022
Objective: To detail the implementation, benefits and challenges of onboarding campus-based health services onto a health system's electronic health record. Participants: UC San Diego Student Health and Well-Being offers medical services to over 39,000 students. UC San Diego Health is an academic medical center. Methods: 20 workstreams and 9…
Descriptors: College Students, School Health Services, COVID-19, Pandemics
Tim Gill – Research Matters, 2025
One of the main aims of Core Maths qualifications when they were introduced into the post-16 curriculum in 2014 was to help students develop their understanding of maths and its application to different subject areas, particularly in relation to further study (e.g., higher education). In this article, we explore whether Core Maths is fulfilling…
Descriptors: Mathematics Education, Classification, Educational Benefits, Dropout Rate
Kisling, Reid; Peterson, Andrew; Nisbet, Robert – Strategic Enrollment Management Quarterly, 2021
Data analytics is undergoing an evolution through effective data use to support both operational and learning analytics models. However, this evolution will require that institutional leaders transform their data systems to best support the needs of application modeling and use their intuition to help drive the development of better analytical…
Descriptors: Higher Education, Learning Analytics, Models, Instructional Leadership
Hodges, Jaret – Journal of Advanced Academics, 2020
State databases offer researchers the opportunity to conduct research using data collected by states. These databases contain financial, demographic, and accountability data. Accessing and acquiring data from these repositories, though, can offer challenges to scholars interested in conducting research. This brief describes the type of data…
Descriptors: Data Collection, Data Use, Educational Research, Gifted Education
Atchison, Eric S.; Hosch, Braden J. – New Directions for Institutional Research, 2015
This chapter synthesizes the national discussion on other solutions to the Integrated Postsecondary Education Data System (IPEDS), such as a national student record system, and complications. The authors will briefly examine the pros and cons of IPEDS while primarily focusing on national alternatives, as well providing specific examples for…
Descriptors: Benchmarking, Postsecondary Education, Databases, Student Records
Wang, Ling – Journal of Educational Multimedia and Hypermedia, 2021
Running records is an important reading assessment for diagnosing early readers' needs in diverse instructional settings across grade levels. This study develops an innovative app to help teachers administer running records assessment and investigates teachers' perceptions of its functionality and usability in practical classrooms. The app offers…
Descriptors: Miscue Analysis, Reading Comprehension, Reading Tests, Computer Software
McDermott, Maureen; Reeves, Jennifer; Mendez, Gabriela; Capo, Berta; Karp, Jason – Distance Learning, 2019
A data breach occurs when a cyberhacker physically gains access to files on a computer or remotely bypasses a network's security system, gaining access to data, and stealing sensitive information. Remote network security breaches are a common method for taking sensitive information from companies. The confidential information can then be sold on…
Descriptors: Computer Security, Information Security, Privacy, Computer Software
Travers, Jason; Krezmien, Michael – Exceptional Children, 2018
The underidentification of students with autism is a well-documented phenomenon that implies minority children are less likely to receive autism-specific interventions and services vital for better outcomes. Previous research has found that minority children are less likely to be identified as having autism, but recent changes in federal reporting…
Descriptors: Autism, Disability Identification, Racial Bias, Probability
Adelman, Melissa; Haimovich, Francisco; Ham, Andres; Vazquez, Emmanuel – Education Economics, 2018
School dropout is a growing concern across Latin America because of its negative social and economic consequences. Identifying who is likely to drop out, and therefore could be targeted for interventions, is a well-studied prediction problem in countries with strong administrative data. In this paper, we use new data in Guatemala and Honduras to…
Descriptors: Foreign Countries, Dropouts, At Risk Students, Identification
Xu, Di; Ran, Florence Xiaotao; Fink, John; Jenkins, Davis; Dundar, Afet – Community College Review, 2018
Objective: This study develops an analytical framework for identifying effective partnerships between 2- and 4-year institutions that enable community college entrants to transfer to a 4-year institution and earn a bachelor's degree in a timely fashion. Method: Using the individual term-by-term college enrollment and degree records from the…
Descriptors: College Transfer Students, Partnerships in Education, Community Colleges, Regression (Statistics)