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Katherine A. Shields; Bryan C. Hutchins; Kelly Reese; Edward C. Fletcher; Katherine Hughes – Career and Technical Education Research Network, 2024
In recent years, career and technical education (CTE) programs that include quality work-based learning (WBL) opportunities for students have gained significant traction among educators, policymakers, and stakeholders as an effective way to prepare students for the labor market. However, a lack of data on WBL--which many CTE students participate…
Descriptors: Vocational Education, Experiential Learning, Data Collection, Educational Research
Mthokozisi Masumbika Ncube; Patrick Ngulube – Discover Education, 2025
Despite the increasing interest in data analytics applications within postgraduate education research, there remains a significant gap in research dedicated to exploring mixed methods research for such investigations. This study undertook to bridge this gap by exploring the application and use of mixed methods research to examine data analytics…
Descriptors: Data Analysis, Graduate Students, Educational Research, Mixed Methods Research
Knipe, Sally – Educational Practice and Theory, 2022
This article presents a descriptive, critical analysis of the comparability of information concerning students, teachers, and school resources gathered by organisations within government jurisdiction, and the pitfalls for the unwary researcher using government data banks. Differences in the method of compiling information about citizens, and…
Descriptors: Educational Research, Educational Researchers, Data Collection, Data Analysis
Moore, Colleen – Education Insights Center, 2020
The Education Insights Center produced a series of reports culminating in recommendations for the structure and governance of a preschool through higher education and into the workforce (known as a P20W data system). This brief follows up on that series, with a focus on data quality; the brief was informed by the author's experience using…
Descriptors: Governance, Preschool Education, Elementary Secondary Education, Higher Education
Chen, Xieling; Zou, Di; Cheng, Gary; Xie, Haoran; Jong, Morris – Education and Information Technologies, 2023
Researchers and practitioners are paying increasing attention to blockchain's potential for resolving trust, privacy, and transparency-related issues in smart education. Research on educational blockchain is also becoming an active field of research. Based on 206 studies published from 2017 to 2020, we identify contributors, collaborators,…
Descriptors: Educational Technology, Technology Uses in Education, Artificial Intelligence, Databases
Sandra Jo Wilson; Brian Freeman; E. C. Hedberg – Grantee Submission, 2024
As reporting of effect sizes in evaluation studies has proliferated, researchers and consumers of research need tools for interpreting or benchmarking the magnitude of those effect sizes that are relevant to the intervention, target population, and outcome measure being considered. Similarly, researchers planning education studies with social and…
Descriptors: Benchmarking, Effect Size, Meta Analysis, Statistical Analysis
Debshila Basu Mallick; Brittany C. Bradford; Richard G. Baraniuk – Grantee Submission, 2023
OpenStax Kinetic is an innovative research infrastructure that aims to transform education and learning research in the digital age. With its access to large sample sizes, authentic learning environments, experimental control, scalability, security and privacy protection, Kinetic provides an unparalleled opportunity for researchers to study the…
Descriptors: Educational Research, Research Methodology, Electronic Learning, Adult Learning
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
Logan, Tracy – Australian Educational Researcher, 2020
Secondary data analysis in educational research has been an established research method for many years. Yet, few publications outline the "how to" of undertaking the process. This paper presents an analysis framework suitable for undertaking secondary data analysis within the field of education. The framework is a modification and an…
Descriptors: Data Analysis, Educational Research, Databases, Mathematics Education
Finding, Accessing, and Using Secondary Data for Research on Gifted Education and Advanced Academics
Renbarger, Rachel L.; Sulak, Tracey N.; Kaul, Corina R. – Journal of Advanced Academics, 2019
Secondary data analysis can benefit researchers of advanced academics by providing large sample sizes and a variety of data on multiple topics. However, using secondary data comes with unique challenges. This article will outline how gifted education researchers can find, access, and use secondary data. Data are available on children from birth to…
Descriptors: Data Use, Access to Information, Educational Research, Gifted Education
Danielle S. McNamara; Tracy Arner; Elizabeth Reilley; Paul Alvarado; Chani Clark; Thomas Fikes; Annie Hale; Betheny Weigele – Grantee Submission, 2022
Accounting for complex interactions between contextual variables and learners' individual differences in aptitudes and background requires building the means to connect and access learner data at large scales, across time, and in multiple contexts. This paper describes the ASU Learning@Scale (L@S) project to develop a digital learning network…
Descriptors: Electronic Learning, Educational Technology, Networks, Learning Analytics
Grant Clayton; Phillip Morris; Joseph Taylor; Dick Carpenter – Sage Research Methods Cases, 2022
This case study introduces the use of the National Center for Education Statistics (NCES) publicly available data for linear regression. Our case uses an example of exploring the relationship between Advanced Placement (AP) course-taking, while in high school, on student science, technology, engineering, and mathematics grades upon enrolment to…
Descriptors: Online Searching, Research, Data Use, Regression (Statistics)
Ilic, Ulas; Haseski, Halil Ibrahim; Tugtekin, Ufuk – Contemporary Educational Technology, 2018
The current study aimed to review studies on computational thinking (CT) indexed in Web of Science (WOS) and ERIC databases. A thorough search in electronic databases revealed 96 studies on computational thinking which were published between 2006 and 2016. Studies were exposed to a quantitative content analysis through using an article control…
Descriptors: Trend Analysis, Educational Trends, Periodicals, Databases
Chudagr, Amita; Luschei, Thomas F. – Education Policy Analysis Archives, 2016
The objective of this commentary is to call attention to the feasibility and importance of large-scale, systematic, quantitative analysis in international and comparative education research. We contend that although many existing databases are under- or unutilized in quantitative international-comparative research, these resources present the…
Descriptors: Information Sources, International Education, Comparative Education, Educational Policy
Talbott, Elizabeth; Maggin, Daniel M.; Van Acker, Eryn Y.; Kumm, Skip – Exceptionality, 2018
Reviews of research in special education have a unique place in the scientific literature, with the potential to inform a broad audience about the effectiveness and acceptability of assessment and intervention strategies for a heterogeneous group of children and youth. Results from reviews are useful to school leaders, practitioners, parents,…
Descriptors: Special Education, Educational Research, Educational Quality, Educational Indicators