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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
Justin B. Doromal; Erica Greenberg; Elli Nikolopoulos; Eve Mefferd; Heather Sandstrom; Rachel Lamb; Victoria Nelson; Timothy Triplett – Urban Institute, 2024
Early childhood educators play essential roles in providing stable and high-quality child care for young children and supporting their development and growth. As is also true nationwide, historically low wages in the District of Columbia have led to challenges in compensating and retaining qualified early childhood educators, and in turn, building…
Descriptors: Program Implementation, Early Childhood Education, Educational Equity (Finance), Educational Finance
Enid Zambrana, Ruth; Amaro, Gabriel; Butler, Courtney; DuPont-Reyes, Melissa; Parra-Medina, Deborah – Health Education & Behavior, 2021
Introduction: Prior to 1980, U.S. national demographic and health data collection did not identify individuals of Hispanic/Latina/o heritage as a population group. Post-1990, robust immigration from Latin America (e.g., South America, Central America, Mexico) and subsequent growth in U.S. births, dynamically reconstructed the ethnoracial lines…
Descriptors: Data Analysis, Data Collection, Demography, Hispanic Americans
Poschmann, Philipp; Goldenstein, Jan – Sociological Methods & Research, 2022
Despite the recent and ongoing progress in using text-mining tools to automatically analyze large text corpora, there remains significant potential to facilitate the study of social action in social science research. In this context, particularly the disambiguation (who is referred to in a text?) and specification (which demographic…
Descriptors: Web Sites, Collaborative Writing, Reliability, Accuracy
Barros, Thiago M.; Souza Neto, Plácido A.; Silva, Ivanovitch; Guedes, Luiz Affonso – Education Sciences, 2019
Predicting school dropout rates is an important issue for the smooth execution of an educational system. This problem is solved by classifying students into two classes using educational activities related statistical datasets. One of the classes must identify the students who have the tendency to persist. The other class must identify the…
Descriptors: Predictor Variables, Models, Dropout Rate, Classification
Demographic Disproportionality of High School Graduation: What's Service-Learning Got to Do with It?
Nicole DeVillier – ProQuest LLC, 2021
Graduation from high school is a commonly accepted measurement of academic achievement within the PK-12 education system. Failure to meet this academic milestone is well noted to result in unfavorable outcomes in the transition to, and throughout, adulthood; negatively impacting individuals' health and employment opportunities, while increasing…
Descriptors: High School Graduates, Graduation, Service Learning, Disproportionate Representation
Sandra Perez; Gabriel Montague – Education Trust, 2024
In 2020, EdTrust released a report titled, "Segregation Forever?," which explored the continued underrepresentation of Black and Latino first-time, full-time undergraduates at the nation's 101 most selective public four-year colleges and universities in 2000 and 2017. The analysis revealed significant underrepresentation of Black and…
Descriptors: Hispanic American Students, Undergraduate Students, Disproportionate Representation, Private Colleges
Akman, Ozkan; Alagoz, Bulent – Journal of Education and Practice, 2017
The purpose of education should be to raise people who are researchers, developer, investigating what they find, use their knowledge in their behaviors and who can interpret and put new things on them. When children are being educated, the experience should be before the occurrence of the story. First, good and bad environment should be shown,…
Descriptors: Foreign Countries, Preservice Teachers, Elementary School Teachers, Environmental Education
Pollard, Kelvin; Srygley, Sara; Jacobsen, Linda A. – Appalachian Regional Commission, 2023
"The Appalachian Region: A Data Overview from the 2017-2021 American Community Survey," also known as "The Chartbook," draws from the most recent American Community Survey and comparable Census Population Estimates. The report contains over 300,000 data points about Appalachia's economy, income, employment, education, and other…
Descriptors: Geographic Regions, Community Surveys, Data Analysis, Community Characteristics
Arnold, Kimberly E. – ProQuest LLC, 2017
In the 21st century, attainment of a college degree is more important than ever to achieve economic self-sufficiency, employment, and an adequate standard of living. Projections suggest that by 2020, 65% of jobs available in the U.S. will require postsecondary education. This reality creates an unprecedented demand for higher education, and…
Descriptors: Educational Technology, Profiles, Biographies, Demography
Hooper, Martin – ProQuest LLC, 2017
TIMSS and PIRLS assess representative samples of students at regular intervals, measuring trends in student achievement and student contexts for learning. Because individual students are not tracked over time, analysis of international large-scale assessment data is usually conducted cross-sectionally. Gustafsson (2007) proposed examining the data…
Descriptors: Achievement Tests, Foreign Countries, Elementary Secondary Education, International Assessment
Sugarman, Julie – Migration Policy Institute, 2018
In recent years, education data have become both more easily accessible and more important than ever to decisions about K-12 policies and practice. Under the "Every Student Succeeds Act" (ESSA), states are required to publish data on how students, including English Learners (ELs), are performing in areas such as reading, math, and…
Descriptors: English Language Learners, Data Collection, Data Analysis, Student Characteristics
Paquette, Luc; Ocumpaugh, Jaclyn; Li, Ziyue; Andres, Alexandra; Baker, Ryan – Journal of Educational Data Mining, 2020
The growing use of machine learning for the data-driven study of social issues and the implementation of data-driven decision processes has required researchers to re-examine the often implicit assumption that datadriven models are neutral and free of biases. The careful examination of machine-learned models has identified examples of how existing…
Descriptors: Demography, Educational Research, Information Retrieval, Data Analysis
Teig, Nani; Scherer, Ronny; Kjaernsli, Marit – Journal of Research in Science Teaching, 2020
Previous research has demonstrated the potential of examining log-file data from computer-based assessments to understand student interactions with complex inquiry tasks. Rather than solely providing information about what has been achieved or the accuracy of student responses ("product data"), students' log files offer additional…
Descriptors: Science Process Skills, Thinking Skills, Inquiry, Simulation
Martin, Florence; Ahlgrim-Delzell, Lynn; Budhrani, Kiran – American Journal of Distance Education, 2017
Systematic reviews of literature are studies that strategically search for published research on a specific topic in order to synthesize what is known about the topic. This systematic review describes 157 articles on synchronous online learning (SOL) from thirty-four different countries on instructional setting, content areas, participant…
Descriptors: Literature Reviews, Educational Research, Synchronous Communication, Electronic Learning