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Figlio, David; Karbownik, Krzysztof; Salvanes, Kjell – Education Finance and Policy, 2017
Thanks to extraordinary and exponential improvements in data storage and computing capacities, it is now possible to collect, manage, and analyze data in magnitudes and in manners that would have been inconceivable just a short time ago. As the world has developed this remarkable capacity to store and analyze data, so have the world's governments…
Descriptors: Educational Research, Data, Information Utilization, Management Information Systems
Kjelvik, Melissa K.; Schultheis, Elizabeth H. – CBE - Life Sciences Education, 2019
Data are becoming increasingly important in science and society, and thus data literacy is a vital asset to students as they prepare for careers in and outside science, technology, engineering, and mathematics and go on to lead productive lives. In this paper, we discuss why the strongest learning experiences surrounding data literacy may arise…
Descriptors: Data Use, Scientific Research, Information Literacy, STEM Education
Office of Inspector General, US Department of Education, 2023
In accordance with the Reports Consolidation Act of 2000, the OIG reports annually on the most serious management and performance challenges the Department faces. For FY 2024, we identified seven management challenges for the Department: (1) Implementing pandemic relief laws for elementary and secondary education; (2) Implementing pandemic relief…
Descriptors: Federal Programs, Educational Finance, Student Financial Aid, Pandemics
Edgerton, Adam K. – Congressional Research Service, 2022
The Carl D. Perkins Career and Technical Education Act (Perkins Act) is the primary federal law aimed at developing and supporting career and technical education (CTE) programs for secondary and postsecondary students. In the 109th Congress, the Perkins Act was reauthorized by the Carl D. Perkins Career and Technical Education Improvement Act of…
Descriptors: Educational Legislation, Federal Legislation, Vocational Education, Secondary Education
Wong, Billy Tak-Ming; Li, Kam Cheong; Choi, Samuel Ping-Man – Interactive Technology and Smart Education, 2018
Purpose: This paper aims to review and identify the major patterns and trends in learning analytics practices in higher education institutions. The review covers the characteristics of the institutions, as well as the characteristics and outcomes of the learning analytics practices. Design/methodology/approach: This research collected literature…
Descriptors: Educational Trends, Educational Practices, Educational Research, Data Collection
Di Mitri, Daniele; Schneider, Jan; Specht, Marcus; Drachsler, Hendrik – Journal of Computer Assisted Learning, 2018
Multimodality in learning analytics and learning science is under the spotlight. The landscape of sensors and wearable trackers that can be used for learning support is evolving rapidly, as well as data collection and analysis methods. Multimodal data can now be collected and processed in real time at an unprecedented scale. With sensors, it is…
Descriptors: Educational Research, Data Collection, Data Analysis, Learning Modalities
Fabo, Brian; Kahanec, Martin – International Journal of Social Research Methodology, 2018
In this paper, we compare the estimates of earnings determinants based on the non-probabilistic WageIndicator web survey with those based on the widely used, representative EU Study of Income and Living Conditions survey. Using 10 years of Dutch data, we show that there exists an established segment of predominantly junior workers from which the…
Descriptors: Foreign Countries, Online Surveys, Wages, Income
Schumacher, Clara; Ifenthaler, Dirk – Journal of Computing in Higher Education, 2018
Depending on their motivational dispositions, students choose different learning strategies and vary in their persistence in reaching learning outcomes. As learning is more and more facilitated through technology, analytics approaches allow learning processes and environments to be analyzed and optimized. However, research on motivation and…
Descriptors: Student Motivation, Learning Strategies, Goal Orientation, Self Concept
English, Lyn D.; Watson, Jane – ZDM: The International Journal on Mathematics Education, 2018
This article explores 6th-grade students' modelling with data in generating models for selecting an Australian swimming team for the (then) forthcoming 2016 Olympics, using data on swimmers' times at various previous events. We propose a modelling framework comprising four components: working in shared problem spaces between mathematics and…
Descriptors: Foreign Countries, Mathematical Models, Data Analysis, Elementary School Students
Golden, Cindy – Brookes Publishing Company, 2018
Collecting data on behavior, academic skills, and Individualized Education Plan (IEP) goals is an essential step in showing student progress--but it can also be a complicated, time-consuming process. Take the worry and stress out of data collection with this ultra-practical resource, packed with the tools you need to organize, manage, and monitor…
Descriptors: Data Collection, Information Management, Student Records, Student Behavior
Elaine Allensworth; Alex Gordon; Christopher Young – Annenberg Institute for School Reform at Brown University, 2025
There is considerable variability in the literacy assessments taken in Kindergarten through second grade, across schools and between multilingual learners and other students, and within students over time. This makes it difficult to study changes in students' acquisition of ELA skills in these formative years, or to evaluate policies and practices…
Descriptors: Literacy, Kindergarten, Grade 1, Grade 2
National Council on Teacher Quality, 2025
In the final month of 2024, a Newsweek article celebrated an apparent victory in the Lone Star State: "Texas' Teachers Are More Diverse Than California's." In Washington, D.C., the press was slightly more subdued, but still proud: "Teacher diversity is slowing down, but D.C, offers a bright spot." These and many other headlines…
Descriptors: Diversity (Faculty), Minority Group Teachers, Racial Composition, Adults
Kipton D. Smilie – Paedagogica Historica: International Journal of the History of Education, 2025
In the 1930s schooling in the United States underwent fundamental transformations, ultimately responding to the profound social, economic, and technological changes taking place in the early decades of the twentieth century. Students' social and emotional health needed support, especially for entry into a rapidly changing nation and world. One…
Descriptors: Educational History, Professional Autonomy, Data Collection, Student Characteristics
Marianna Pagkratidou; Michalis P. Michaelides; Vasiliki Pitsia; Anastasios Karakolidis – Journal for STEM Education Research, 2025
Science, technology engineering, and mathematics (STEM) professions offer competitive earnings, tend to be compatible with technological advances, and are predicted to remain in high demand in the future. Many countries, including Greece, have prioritised STEM education on their educational agendas, aiming to prepare students for careers in these…
Descriptors: STEM Careers, Occupational Aspiration, Student Attitudes, Foreign Countries
OECD Publishing, 2025
As education systems adapt to evolving societal and technological demands, mathematics curricula must also evolve. Recent trends highlight challenges such as declines in student performance and gaps between intended learning goals and real-world applications. Integrating competencies like data literacy, computational thinking, and problem-solving…
Descriptors: Educational Change, Mathematics Curriculum, Educational Trends, Mathematics Education

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