NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 751 to 765 of 74,762 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Hawkins, Christie; Bailey, Lucy E. – New Directions for Institutional Research, 2020
The increasing volume of information and the intense pace of its circulation are changing the ways universities access, use, analyze, and provide data. Many have championed the use of large-scale databases to track student admissions and retention, faculty productivity, student wellness, and other phenomena that shape our understandings of higher…
Descriptors: Institutional Research, Data Analysis, Data Use, Colleges
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Edoardo Saccenti – Teaching Statistics: An International Journal for Teachers, 2024
Principal Component Analysis (PCA) is a powerful statistical technique for reducing the complexity of data and making patterns and relationships within the data more easily understandable. By using PCA, students can learn to identify the most important features of a data set, visualize relationships between variables, and make informed decisions…
Descriptors: Factor Analysis, Data Analysis, Information Literacy, Visualization
Peer reviewed Peer reviewed
Direct linkDirect link
Sean McGrath; XiaoFei Zhao; Omer Ozturk; Stephan Katzenschlager; Russell Steele; Andrea Benedetti – Research Synthesis Methods, 2024
When performing an aggregate data meta-analysis of a continuous outcome, researchers often come across primary studies that report the sample median of the outcome. However, standard meta-analytic methods typically cannot be directly applied in this setting. In recent years, there has been substantial development in statistical methods to…
Descriptors: Statistical Analysis, Meta Analysis, Data Analysis, Sampling
Peer reviewed Peer reviewed
Direct linkDirect link
Ulrich A. Hoensch – PRIMUS, 2024
We present a concrete situation where there is a difference between the theoretical security of a cipher and its limitations when implemented in practice. Specifically, when entering a PIN, smudges on the keypad substantially reduce its security. We show how the number of possible keys in the presence of the "smudge attack" can be…
Descriptors: Information Security, Computer Security, Coding, Undergraduate Study
Peer reviewed Peer reviewed
Direct linkDirect link
Sarah Amber Evans; Lingzi Hong; Jeonghyun Kim; Erin Rice-Oyler; Irhamni Ali – Information and Learning Sciences, 2024
Purpose: Data literacy empowers college students, equipping them with essential skills necessary for their personal lives and careers in today's data-driven world. This study aims to explore how community college students evaluate their data literacy and further examine demographic and educational/career advancement disparities in their…
Descriptors: Community College Students, Self Evaluation (Individuals), Data Analysis, Demography
Peer reviewed Peer reviewed
Direct linkDirect link
Bennett L. Schwartz – Metacognition and Learning, 2024
Retrospective confidence refers to the phenomenological experience of the level of certainty that retrieved information is, in fact, correct. Retrospective confidence judgments are examined across a range of sub-disciplines in psychology from perception to memory research, and in education and legal applications. This paper focuses on…
Descriptors: Memory, Recall (Psychology), Cues, Learning Processes
Peer reviewed Peer reviewed
Direct linkDirect link
Zhifang Tu; Jiashu Shen – Research Evaluation, 2024
The economic significance of open research data is widely acknowledged, yet its quantification remains challenging. This paper presents an effective valuation instrument to help stakeholders understand and evaluate the economic benefits of open research data. By conducting a scoping review and prioritizing user engagement, this study introduces a…
Descriptors: Open Education, Economics, Data, Access to Information
Peer reviewed Peer reviewed
Direct linkDirect link
Maxi Schulz; Malte Kramer; Oliver Kuss; Tim Mathes – Research Synthesis Methods, 2024
In sparse data meta-analyses (with few trials or zero events), conventional methods may distort results. Although better-performing one-stage methods have become available in recent years, their implementation remains limited in practice. This study examines the impact of using conventional methods compared to one-stage models by re-analysing…
Descriptors: Meta Analysis, Data Analysis, Research Methodology, Research Problems
Peer reviewed Peer reviewed
Direct linkDirect link
Peter J. Woods; Camillia Matuk; Kayla DesPortes; Ralph Vacca; Marian Tes; Veena Vasudevan; Anna Amato – Critical Studies in Education, 2024
As visual cultures scholars have argued, visual expression and aesthetic artifacts largely comprise the modern world. This includes the production of the school as an institution. A critical approach to education therefore must reinscribe students with the ability to see what educational processes attempt to hide and to construct an understanding…
Descriptors: Data Science, Statistics Education, Visualization, Aesthetics
Peer reviewed Peer reviewed
Direct linkDirect link
Amy Shelton; Collin Hitt – Journal of School Choice, 2024
There are over one million school-age children in Missouri, and we estimate 61,000 (6% of all school-age children) are homeschooled. Missouri is one of 29 states that does not require homeschooling to be reported. Using methods that can be replicated elsewhere with publicly available data, we test three approaches to estimating homeschool…
Descriptors: Home Schooling, Attendance, Data Collection, School Statistics
Julianne Foxworthy Gonzalez – ProQuest LLC, 2024
This dissertation documented how undergraduate students made sense of data in news media. The participants were 30 undergraduate students enrolled in a course called "Numbers and Social Justice." The study used argument analysis (Toulmin, 2003) and ethnographic methodology to examine students' written work in a naturalistic setting.…
Descriptors: Statistics Education, Media Literacy, Undergraduate Students, Numeracy
Peer reviewed Peer reviewed
Direct linkDirect link
Xinning Zheng – International Journal of Web-Based Learning and Teaching Technologies, 2024
The integration of Internet technology and the collaborative development of smart classrooms is an essential step for colleges and universities to advance English instruction reform. This study utilized data mining (DM) technology to analyze the learning process in college English smart classrooms. The results indicate that the DM algorithm used…
Descriptors: English Instruction, Data Use, Learning Processes, Educational Technology
Peer reviewed Peer reviewed
Direct linkDirect link
Desai, Rachana; Magan, Ansuyah; Maposa, Innocent; Ruiter, Robert; Rochat, Tamsen; Mercken, Liesbeth – Youth & Society, 2024
The majority of adolescents communicate via text-based messaging, particularly through WhatsApp, a widely used free communication application. Written content on WhatsApp has the methodological potential to provide rich qualitative interview data. This study compares data collected using text-based WhatsApp versus face-to-face interview…
Descriptors: Comparative Analysis, Data Collection, Computer Mediated Communication, Dropouts
Peer reviewed Peer reviewed
Direct linkDirect link
Florian Keusch; Paulina K. Pankowska; Alexandru Cernat; Ruben L. Bach – Field Methods, 2024
Data donation is a novel approach to collecting digital trace data, where users are asked to download their retrospective data from a platform and share them with the researchers. Little is known about the willingness to donate data and the potential bias that may arise from nonparticipation. We conducted a study among over 900 German Facebook…
Descriptors: Data Collection, Research Methodology, Information Dissemination, Social Media
Pages: 1  |  ...  |  47  |  48  |  49  |  50  |  51  |  52  |  53  |  54  |  55  |  ...  |  4985