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Brown, Michael; Sowl, Stephanie; Steigleder, K. M. – Journal of Higher Education, 2023
We present a historical case study of "data-driven" general education policy reform at the City University of New York, where within-system transfer issues prompted the need for curricular reform that was debated and eventually implemented from 2011 to 2017. Through an empirical examination of artifacts such as meeting minutes, internal…
Descriptors: Data Use, Decision Making, Educational Policy, Urban Universities
Quinn, Anthony; Denney, David; Hardwick, Nick; Jalil, Rahul; Meek, Rosie – International Journal of Social Research Methodology, 2022
The benefits of government administrative data are well-established, but research has not examined processes by which these data can be identified, organised and governed in line with ethical considerations. This is an important undertaking given the potential benefits of robust administrative data, especially at a time when the collection of…
Descriptors: Institutionalized Persons, Data Collection, Experience, Foreign Countries
Boesdorfer, Sarah B.; Del Carlo, Dawn I.; Wayson, Jessica – Research in Science Education, 2022
Despite the promotion of data-driven or data-informed instructional practices in teacher education and professional development, past research indicates that teachers use a limited number of sources for student data to make short-term adjustments to their teaching in order to address deficiencies in student learning. Science teachers, with a more…
Descriptors: Secondary School Teachers, Data Use, Teaching Methods, Data Analysis
Goble, Trenton – Childhood Education, 2022
At the end of 2021, the spread of the COVID-19 virus Delta variant and the start of the new school year combined to present many educators and administrators with the hardest year yet in the pandemic, in terms of both delivering instruction and assessing student learning. Students entered the school year with increased anxiety, and assessment was…
Descriptors: Educational Change, Formative Evaluation, Data Use, COVID-19
Bende, Imre – Acta Didactica Napocensia, 2022
Understanding data structures is fundamental for mastering algorithms. In order to solve problems and tasks, students must be able to choose the most appropriate data structure in which the data is stored and that helps in the process of the solution. Of course, there is no single correct solution, but in many cases, it is an important step to…
Descriptors: Programming, Computer Science Education, Data, Visual Aids
Oliver, Kathryn; Hopkins, Anna; Boaz, Annette; Guillot-Wright, Shannon; Cairney, Paul – Evidence & Policy: A Journal of Research, Debate and Practice, 2022
Background: To improve the use of evidence in policy and practice, many organisations and individuals seek to promote research-policy engagement activities, but little is known about what works. Aims and objectives: We sought (a) to identify existing research-policy engagement activities, and (b) evidence on impacts of these activities on research…
Descriptors: Research, Policy, Evidence, Decision Making
Ibrahim, Kamariah; Ahmad-Annuar, Azlina – Biochemistry and Molecular Biology Education, 2022
This article reports a session from the virtual international 2021 IUBMB/ASBMB workshop, "Teaching Science on Big Data." The awareness of using publicly available research data sets for undergraduate training is low in certain parts of the world. Final year projects always revolve around wet-lab based projects. The challenges occur…
Descriptors: COVID-19, Pandemics, Student Research, Data Use
Noonan, James; Schneider, Jack – Phi Delta Kappan, 2022
Parents and the public use accountability data to judge if schools are doing a good or a bad job educating their students. However, using the current data, schools perceived as "good" tend to be in better-resourced districts and enroll higher percentages of wealthy and white students. Schools perceived as "bad" tend to be in…
Descriptors: Educational Quality, Accountability, School Demography, Educational Resources
Choi, Jungtae; Kim, Kihyun – Prevention Science, 2022
The purpose of this study was to explore and identify patterns of risk predictors of maltreatment recurrence using predictive risk modeling (PRM). This study used the administrative dataset from the National Child Maltreatment Information System recorded by Korean CPS (Child Protective Service) workers. The information, including recurrent…
Descriptors: Foreign Countries, Child Abuse, Social Services, Children
Dubrow, Joshua K. – International Journal of Social Research Methodology, 2022
The COVID 19 pandemic illuminates the role data has in public policy-making, i.e. datafication of society, and the importance of exploring the local sources of data to reveal errors in what has assuredly been from the beginning an undercount of cases and deaths. I note four interrelated error sources. The first two are common to any quantitative…
Descriptors: Data Use, COVID-19, Pandemics, Data Collection
Region 8 Comprehensive Center, 2022
Most school and district leaders have a wealth of information available to them before, during, and after the hiring process, but they might not analyze it regularly or use it to inform their recruitment and retention plans. However, using data strategically is key to positively impacting teacher recruitment and retention. This brief discusses…
Descriptors: Data Use, Teacher Recruitment, Teacher Persistence, Elementary Secondary Education
Keeanna Jessica Marie Warren – ProQuest LLC, 2022
Teacher turnover continues to be a significant problem in the United States. Teacher turnover is expensive because it costs money to continue recruiting, hiring, and training new teachers to replace those leaving (Carver-Thomas & Darling-Hammond, 2017). Most important though, teacher turnover hurts student achievement and success (Sorensen…
Descriptors: Data Analysis, Prediction, Teacher Persistence, Faculty Mobility
Eric Jordan Mendelson – ProQuest LLC, 2022
Educators and researchers have long contemplated the most effective ways to provide feedback to students, to build sustainable feedback practices, and to establish feedback literacy. While a considerable amount of research, theory, and practical approaches exist to support the effect of formative feedback practices, less research exists on the…
Descriptors: Preservice Teachers, Teacher Attitudes, Feedback (Response), Data Use
Amelia Parnell – Journal of Postsecondary Student Success, 2022
Data-informed decision-making is no longer an optional or occasional practice, as higher education professionals now routinely respond to calls for accountability by providing data to show how their work impacts students. Institutions are operating with a culture that, at a minimum, includes the use of descriptive and diagnostic analyses to assess…
Descriptors: Student Needs, Data Use, Prediction, Data Analysis
Anna G. Brady – Research in Science Education, 2024
Computer-based learning environments (CBLEs) are powerful tools to support student learning. Increasingly of interest is the data that is recorded as learners interact with a CBLE. This "process data" yields opportunities for researchers to examine learners' engagement with a CBLE and explore whether specific interactions are associated…
Descriptors: Electronic Learning, Educational Environment, Data Use, Learner Engagement

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