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Cassandra Artman Collier; Anne L. Powell – Journal of Information Systems Education, 2024
As organizations' reliance on data increases, the prevalence of data analytics programs in universities likewise increases. However, despite this specialized education, scholars still report a gap between the knowledge and skills students graduate with and those required by industry upon beginning work as an entry-level data analyst. We draw on…
Descriptors: Data Analysis, Information Systems, Educational Research, Data Collection
Mostafa M. Samy; Mohamed A. Metwally; Mahmoud Ashry; Wael M. Elmayyah – Measurement: Interdisciplinary Research and Perspectives, 2025
Gas Turbine Engines (GTE) have the highest power-to-weight ratio among Internal Combustion Engines (ICE). Its modularity and ability to utilize various types of fuel make it highly recommended in power plants, naval transportation, and, of course, the most equipped in aviation. The lack of GTEs' real data is increasing a recognized need for…
Descriptors: Engines, Power Technology, Data Collection, Data Interpretation
Perez, Nancy; Mercier, Betsy – Center for IDEA Early Childhood Data Systems (DaSy), 2022
Since 2013, DaSy has tracked the status of Part C and Part B 619 state data systems to understand states' technical assistance needs, provide stakeholders with a national picture of what capacities state data systems have, and to track how those capacities are changing over time. Most recently, in spring of 2021, DaSy collected comprehensive…
Descriptors: Federal Legislation, Educational Legislation, Equal Education, Students with Disabilities
Leif Sundberg; Jonny Holmström – Journal of Information Systems Education, 2024
With recent advances in artificial intelligence (AI), machine learning (ML) has been identified as particularly useful for organizations seeking to create value from data. However, as ML is commonly associated with technical professions, such as computer science and engineering, incorporating training in the use of ML into non-technical…
Descriptors: Artificial Intelligence, Conventional Instruction, Data Collection, Models
Max Crumley-Effinger – International Perspectives on Education and Society, 2022
This chapter contributes to the literature on surveillance in education toward the development of a new branch of studies in educational surveillance that foregrounds the intersections of surveillance with international education, internationalization in higher education, and the global competition for international student enrollments. This study…
Descriptors: Foreign Students, International Education, Global Approach, Higher Education
Desiree Walton – ProQuest LLC, 2023
Decision-making, a key factor of organizational performance, is based on information retrieved from processing raw data. As businesses and consumers are shifting toward digital channels, more and more data is being generated through digital services and electronic devices. Big Data is argued to have significant benefits to businesses, and yet data…
Descriptors: Data Analysis, Data Collection, Construction Industry, Construction Management
Liu, Yi; Xu, TianWei; Xiao, Mengjin – International Journal of Information and Communication Technology Education, 2023
In order to better grasp the needs of library users and provide them with more accurate knowledge services, combining the characteristics of university libraries, this article applies library small data to personalized recommendation and proposes a small data fusion algorithm model for library personalized recommendation. This model combines the…
Descriptors: Research Libraries, Data Collection, Data Analysis, Tables (Data)
Ozair H. Naqvi; Aaron M. Wendelboe; Laurence Burnsed; Mike Mannell; Amanda Janitz; Stephanie Natt – Journal of School Nursing, 2025
Recent trends in vaccine hesitancy have brought to light the importance of using accurate school vaccination data. This study evaluated the accuracy of a pilot statewide kindergarten vaccination survey in Oklahoma. School vaccination and exemption data were collected from November 2017 to April 2018 via the Research Electronic Data Capture system.…
Descriptors: State Surveys, Immunization Programs, Accuracy, Data Collection
Barrett, Courtenay A. – Journal of Educational and Psychological Consultation, 2021
Coaching has been widely implemented to support the delivery of evidence-based practices in schools. Although coaching is effective in rigorous research studies, scholars question the effective translation of coaching in authentic schools. Data systems that monitor the fidelity and impact of coaching offer one solution to address three…
Descriptors: Coaching (Performance), Systems Approach, Information Systems, Fidelity
Goldhaber, Dan; Holden, Kris – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2020
Understanding the nature of the "early teacher pipeline," how many and what types of individuals are pursuing a teaching credential, is critically important. Unfortunately, we conclude that the two national data collections that can be used to explore the early teacher pipeline provide an incomplete and contrasting pictures of the supply…
Descriptors: Preservice Teachers, Teacher Supply and Demand, Problems, Information Systems
Bryant, Rebecca; Fransen, Jan; de Castro, Pablo; Helmstutler, Brenna; Scherer, David – OCLC Online Computer Library Center, Inc., 2021
Research information management (RIM) is a rapidly growing area of investment in US research universities. RIM systems that support the collection and use of research outputs metadata have been in place for many years. Globally, the RIM ecosystem is quite mature in locales where national research assessment exercises like the United Kingdom's…
Descriptors: Research Universities, Information Management, Metadata, Data Use
Bryant, Rebecca; Fransen, Jan; de Castro, Pablo; Helmstutler, Brenna; Scherer, David – OCLC Online Computer Library Center, Inc., 2021
Research Information Management (RIM) is a rapidly growing area of investment in US research universities, comprised of a variety of use cases, stakeholders, and products. This growth has been characteristically decentralized, resulting in silos, multiple systems, and frequent duplication of efforts at many institutions. This report is a two-part…
Descriptors: Research Universities, Information Management, Metadata, Data Use
Data Quality Campaign, 2025
Expanding access to high-quality, affordable early childhood services is key to state efforts to support families' well-being, ensure that children are ready to succeed in school, and sustain a strong economy. Right now, early childhood data is typically housed in different, disconnected state and local systems. State leaders seeking to provide…
Descriptors: Early Childhood Education, Data Collection, Data Use, Child Care
Data Quality Campaign, 2025
For states to build statewide longitudinal data systems that empower people with access to information about education and workforce pathways, state leaders must consider the human capacity they already have, and must develop, to support this work. Building the human capacity required to manage, analyze, and protect data means investing in and…
Descriptors: Longitudinal Studies, Data Collection, Access to Information, Capacity Building
Ashley Metzger; Addison Duane; Amia Nash; Valerie Shapiro – International Journal of Education Policy and Leadership, 2024
Background: Knowledge brokering by intermediary organizations includes knowledge distillation processes (e.g., synthesis, translation). Aims and objectives: This article explores how an educational intermediary performs research distillation when creating virtual knowledge reservoirs for educators. Methods: The authors use qualitative data from…
Descriptors: Data Collection, Case Studies, Information Dissemination, Information Networks

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