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Yeung, Glorry; Mun, Rachel U. – Journal for the Education of the Gifted, 2022
Researchers in gifted and talented education (GATE) have increasingly taken on the role of advocating equity and access for minoritized populations. However, subgroups of racially and ethnically diverse students are rarely disaggregated from monolithic racial and ethnic categories. Studies on academic achievement of Asian American and White…
Descriptors: Gifted Education, Talent, Educational Research, Race
Ignatovich, Elena – International Journal of Lifelong Education, 2020
In most of the scholarly work, the history of lifelong education (LLE) begins in the 1960s, when the concept gathered momentum as part of the agendas of the OECD, World Bank, UNESCO, and Council of Europe. A pre-1960s history is acknowledged with a few names and dates and is generally absorbed into the history of adult education. This paper…
Descriptors: Educational History, Lifelong Learning, Data Collection, Foreign Countries
Sternquist, Brenda; Huddleston, Patricia; Fairhurst, Ann – Journal of Marketing Education, 2018
We provide an overview of ways to involve undergraduate business and retailing students in faculty research projects and discuss advantages of these student-faculty collaborations. We use Kolb's experiential learning cycle to provide a framework for creating an effective and engaging undergraduate research experience and use it to classify types…
Descriptors: Undergraduate Students, Retailing, Distributive Education, Research Projects
Klemencic, Eva; Mirazchiyski, Plamen Vladkov – Comparative Education, 2018
International large-scale student assessments (ILSAs) in education represent a valuable source of information for policy-makers, not only on student achievements, but also on their relationship with different contextual factors. The results are partly described in the official studies' reports; more can be derived from the publicly released data…
Descriptors: Evidence Based Practice, Educational Administration, International Assessment, Policy Formation
Henson, Jim; Gooden, Caroline; Bernstein, Haidee; Romero, Luis; Colgan, Siobhan; Finello, Karen – IDEA Data Center, 2016
This white paper explores the variation among Part C exiting categories as reported by the 50 states and Washington, D.C., using 2012-13 exiting data. Examining factors that may contribute to variation can lead to improved Part C exiting data quality within and across states. Examination of the Part C exiting data shows that 8 of the 10 categories…
Descriptors: Disabilities, Equal Education, Federal Legislation, Educational Legislation
Scholes, Vanessa – Educational Technology Research and Development, 2016
There are good reasons for higher education institutions to use learning analytics to risk-screen students. Institutions can use learning analytics to better predict which students are at greater risk of dropping out or failing, and use the statistics to treat "risky" students differently. This paper analyses this practice using…
Descriptors: Data Collection, Data Analysis, Educational Research, At Risk Students
Siekmann, Gitta; Korbel, Patrick – National Centre for Vocational Education Research (NCVER), 2016
This report explores the definition and selection of science and technology-related (STEM) jobs in-depth. Examples from the United States, United Kingdom, and Australia are described, with similarities and differences highlighted. [This document was produced by the author(s) based on their research for "What Is STEM? The Need for Unpacking…
Descriptors: STEM Education, Technical Education, Vocational Education, Job Skills
Nokelainen, Petri; Silander, Tomi – Frontline Learning Research, 2014
This commentary to the recent article by Musso et al. (2013) discusses issues related to model fitting, comparison of classification accuracy of generative and discriminative models, and two (or more) cultures of data modeling. We start by questioning the extremely high classification accuracy with an empirical data from a complex domain. There is…
Descriptors: Models, Classification, Accuracy, Regression (Statistics)
Data Quality Campaign, 2014
Many states collect data on students and teachers, but linking teachers to students by course--the teacher-student data link (TSDL)--at the state level is critical to understanding the connection between student academic growth and teacher training, qualifications, and practice. This roadmap discusses the six key areas DQC recommends focusing on…
Descriptors: Data Collection, Educational Quality, Teacher Effectiveness, Teacher Influence
Gapinski, Mary Ann; Sheetz, Anne H. – Journal of School Nursing, 2014
The National Association of School Nurses' research priorities include the recommendation that data reliability, quality, and availability be addressed to advance research in child and school health. However, identifying a national school nursing data set has remained a challenge for school nurses, school nursing leaders, school nurse professional…
Descriptors: School Nurses, Data Collection, Documentation, Administration
Grasel, Cornelia; Bormann, Inka; Schutte, Kerstin; Trempler, Kati; Fischbach, Robert – Policy Futures in Education, 2013
This article provides an overview of current research on Education for Sustainable Development (ESD). It shows a lack of correspondence between ESD research and recent debates in educational research. Research on ESD has established as a field of research with insufficient relations to other fields in educational research. Based on the overview…
Descriptors: Foreign Countries, Educational Research, Educational Practices, Sustainable Development
Francek, Mark – International Journal of Science Education, 2013
This paper organizes and analyses over 500 geoscience misconceptions relating to earthquakes, earth structure, geologic resources, glaciers, historical geology, karst (limestone terrains), plate tectonics, rivers, rocks and minerals, soils, volcanoes, and weathering and erosion. Journal and reliable web resources were reviewed to discover (1) the…
Descriptors: Earth Science, Misconceptions, Plate Tectonics, Oceanography
Lee, Sunghee; Satter, Delight E.; Ponce, Ninez A. – American Indian and Alaska Native Mental Health Research: The Journal of the National Center, 2009
Racial classification is a paramount concern in data collection and analysis for American Indians and Alaska Natives (AI/ANs) and has far-reaching implications in health research. We examine how different racial classifications affect survey weights and consequently change health-related indicators for the AI/AN population in California. Using a…
Descriptors: Race, American Indians, Alaska Natives, Classification
Clapp, Marlene; Young, Michael – College and University, 2010
Bridgewater State University (BSU) is a public institution that falls under the Carnegie classification of Master's Colleges and Universities. BSU is committed to serving students in the New England region. This student population includes a sizeable number of underrepresented students. BSU is dealing with intense pressure to serve these students…
Descriptors: Undergraduate Students, Institutional Research, Identification, Classification
Alise, Mark A.; Teddlie, Charles – Journal of Mixed Methods Research, 2010
A new line of research has emerged that examines the prevalence rates of mixed methods within disciplines in the social/behavioral sciences. Research presented in this article is unique in that it examines prevalence rates across multiple disciplines using an established cross-disciplinary classification scheme. Results indicate that there are…
Descriptors: Methods Research, Models, Incidence, Classification