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Kastberg, David; Murray, Gordon; Ferraro, David; Arieira, Carlos; Roey, Shep; Mamedova, Saida; Liao, Yuqi – National Center for Education Statistics, 2021
The Program for International Student Assessment Young Adult Follow-up Study (PISA YAFS) is a follow-up study with students who participated in PISA 2012 in the United States. The study is designed to measure how performance on PISA 2012 relates to subsequent measures of outcomes and skills of young adults on an online assessment, Education and…
Descriptors: Foreign Countries, Achievement Tests, Secondary School Students, Young Adults
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Lu, Jing – INFORMS Transactions on Education, 2020
In the business environment, the goal of data analytics can be characterized as improving decision making and its links to big data and other data-driven technologies. In UK higher education, degree apprenticeships are business-led and government-supported nationally recognized qualifications, where delivery is tailored to partner employer…
Descriptors: Data Analysis, Information Systems, Information Management, Data Use
Ruedel, Kristin; Nelson, Gena; Bailey, Tessie – National Center for Systemic Improvement at WestEd, 2017
Many states struggle with collecting reliable and valid state-level data that can be leveraged to maximize the use of funds. This is particularly challenging when providing early intervention services in states where Medicaid uses clinic rates that are lower than the natural environment rates covered by state or federal Part C funds. This state…
Descriptors: Data Use, Data Analysis, Educational Finance, Early Intervention
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Takayama, Keita; Lingard, Bob – Journal of Education Policy, 2019
Juxtaposed with the emerging body of literature about datafication in schooling, this paper examines the increasing encroachment of data into the Japanese education system, in particular, the use of data associated with standardised academic assessments for governance purposes. In so doing, we use the Japanese 'case' to expose the possible limits…
Descriptors: Criticism, Data Analysis, Standardized Tests, Educational Policy
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Chen, Weiyu; Brinton, Christopher G.; Cao, Da; Mason-Singh, Amanda; Lu, Charlton; Chiang, Mung – IEEE Transactions on Learning Technologies, 2019
We study learning outcome prediction for online courses. Whereas prior work has focused on semester-long courses with frequent student assessments, we focus on short-courses that have single outcomes assigned by instructors at the end. The lack of performance data and generally small enrollments makes the behavior of learners, captured as they…
Descriptors: Online Courses, Outcomes of Education, Prediction, Course Content
Guenter, Cris – National Art Education Association, 2019
The teaching performance expectations and assignments that preservice art teachers currently address in field experiences and in their coursework are designed to help them meet the expectations of being a quality art educator in the 21st century. These assignments may be very different from the assignments that art educators had in their…
Descriptors: Data Use, Decision Making, Data Collection, Art Education
Roberts, Maxine T.; Squires, John – Education Commission of the States, 2021
Emerging practices in both K-12 and higher education hold great promise in the establishment of equity frameworks. The use of finely disaggregated data, the effort to track additional student groups, and related work, all help to establish policies and tools to monitor the impact of reform efforts to address inequities. State programs and…
Descriptors: Equal Education, State Programs, African American Students, Hispanic American Students
Squires, John; Roberts, Maxine T. – Education Commission of the States, 2021
The growing divides across the educational spectrum all underscore the need to change systems to promote the talents and success of every student, particularly those who are racially minoritized or poverty-impacted within a state. Enacting a process to establish policy that addresses the needs of these student groups can help create the conditions…
Descriptors: Equal Education, Disadvantaged Youth, Economically Disadvantaged, Educational Policy
King, Carlise; Perkins, Victoria – Early Childhood Data Collaborative, 2020
Over the last decade, state efforts to build stronger data infrastructure and integrate data about early childhood services have continued to grow. A stronger data infrastructure supports states in more easily linking data across programs, which in turn makes it easier to analyze and use that data to answer important policy questions. An Early…
Descriptors: Educational Finance, Financial Support, Home Visits, Early Childhood Education
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Smith, Elizabeth E.; Gordon, Sarah – Research & Practice in Assessment, 2019
Although faculty are an important part of collecting, analyzing, and using student learning data for improvement, significant barriers often prevent faculty from being involved in assessment work outside the classroom. One potential obstacle to faculty involvement in assessment is the misalignment between the work and faculty rewards structures.…
Descriptors: Rewards, College Faculty, Student Evaluation, Teacher Attitudes
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López-Belmonte, Jesús; Pozo-Sánchez, Santiago; Fuentes-Cabrera, Arturo; Trujillo-Torres, Juan-Manuel – Education Sciences, 2019
The progress of technology in the field of education has led to the development of new professional skills in the teaching community, such as digital competence. Likewise, it has propagated the appearance of new learning environments mediated by technological resources that favor the generation of a large volume of data, known as Big Data, derived…
Descriptors: Data Analysis, Teacher Competencies, Electronic Learning, Information Storage
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Linda McKee, Editor; Sylvia Read, Editor; Debbie Rickey, Editor – Myers Education Press, 2024
"Using Data for Continuous Improvement in Educator Preparation" provides case studies that illuminate and contextualize the ways in which educator preparation programs determine the data they need to improve, collect data, analyze data, share data with stakeholders, and close the loop by making focused improvements based on the data.…
Descriptors: Data Use, Educational Improvement, Teacher Education Programs, Data Collection
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McKool, Marissa; Freire, Kimberley; Basile, Kathleen C.; Jones, Kathryn M.; Klevens, Joanne; DeGue, Sarah; Smith, Sharon G. – American Journal of Evaluation, 2020
Despite advances in the sexual violence (SV) prevention field, practitioners still face challenges with identifying indicators to measure the impact of their prevention strategies. Public data, such as existing administrative and surveillance system data, may be a good option for organizations to examine trends in indicators for the purpose of…
Descriptors: Sexual Abuse, Violence, Prevention, Program Effectiveness
Maldonado, Monica; Mugglestone, Konrad; Roberson, Amanda Janice – Institute for Higher Education Policy, 2021
Data-informed decision-making has always been -- and always will be -- a smart approach to policy, including at institutions of higher education. Just over one year since the COVID-19 pandemic radically and abruptly shifted every aspect of higher education, states and institutions are tackling the same student success goals as before, but with…
Descriptors: Data Analysis, Learning Analytics, Decision Making, Higher Education
Roza, Marguerite – Edunomics Lab, 2017
The expectation in this country is that all students should be able to succeed in school. Yet new data and accountability agendas have heightened attention to performance disparities between students with different identifiable needs--needs that stem from poverty, disability, or limited English proficiency. Educators and policymakers know that…
Descriptors: Educational Finance, State Aid, Data Use, Data Analysis
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