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Jessica Arnold; Julie Webb – WestEd, 2024
While there are many different types of education data, policymakers and education leaders often place heavy emphasis on data from large-scale quantitative measures, such as annual state assessments. But data from these sources alone do not provide a complete picture of learning and are often not well suited to informing improvements at the local…
Descriptors: Data Use, Measurement, Educational Improvement, Outcomes of Education
Adolfsson, Carl-Henrik; Håkansson, Jan – Leadership and Policy in Schools, 2023
From a new institutional theoretical perspective, this article explores school actors' sense-making linked to data-based decision making (DBDM) policy in general and processes of data analysis in particular. The study revealed how actors' interpretation of and response to DBDM pointed to strong and weak couplings between and within the local…
Descriptors: Data Analysis, Educational Improvement, Decision Making, Data Interpretation
Laura Smithers – Change: The Magazine of Higher Learning, 2024
Speculative reform jumps the gun on notions of data-driven reform, requiring administrators to anticipate and act to ensure problems (and the data that would show them) do not materialize. Speculative reforms are incapable of delivering the outcomes they promise, as they are fueled by a fear of the future that their reforms do not extinguish. In…
Descriptors: Educational Policy, Higher Education, Educational Change, Outcomes of Education
Bowers, Alex J.; Choi, Yeonsoo – Educational Researcher, 2023
Despite increasing calls to build equitable data infrastructures, the education field has yet to have a shared guideline around equitable education data management and stewardship. To address this gap, we propose one framework from the data governance literature: the FAIR (Findable, Accessible, Interoperable, Reusable) data management principles…
Descriptors: Data, Governance, Information Management, Guidelines
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
Brooks, Maneka Deanna; Frankel, Katherine K.; Learned, Julie E. – Phi Delta Kappan, 2022
Stand-alone reading intervention courses, or reading classes, are designed to facilitate the literacy development of adolescents who have been deemed "struggling" readers. However, the existence of such courses does not mean that these goals are realized. Decades of qualitative research on youth perspectives and experiences have…
Descriptors: Reading Improvement, Intervention, Program Effectiveness, Educational Policy
Atherton, Paul – Childhood Education, 2022
For any government, difficult choices must be made about how and where to prioritize any school construction. In the absence of data-driven decision-making, these choices typically will be made based on opinions; when that is the case, the most powerful people's opinions tend to dominate. On the other hand, data help us ensure all the children's…
Descriptors: Foreign Countries, Decision Making, Data Use, Data Analysis
Prescott, Brian T. – Change: The Magazine of Higher Learning, 2021
A "Cone of Uncertainty" has become ubiquitous in hurricane forecasting, encompassing the likeliest possible path that a storm might take as it approaches landfall. These forecasts are crucial because they help government agencies at all levels prepare even in these far-from-certain future conditions. Although individual institutions have…
Descriptors: Educational Planning, COVID-19, Pandemics, Decision Making
Ian Hardy; Vicente Reyes; Louise G. Phillips; M. Obaidul Hamid – Journal of Education Policy, 2024
Data infrastructures exist in a variety of formats. This article draws on the insights of senior personnel involved in developing a new data dashboard in one state jurisdiction in Australia. While literature on dashboards often focuses on the teachers and learners influenced by them, there is less attention to those involved in their development…
Descriptors: Learning Analytics, Learning Processes, Learning Management Systems, Computer Software
Ansell, Charles – Change: The Magazine of Higher Learning, 2021
Complete College America (CCA) is partnered with the National Student Clearinghouse in promoting the latter's Postsecondary Data Partnership (PDP), a data and reporting tool for tracking student success metrics. The PDP is offered at nominal cost, built for democratized data access, and encompasses transfer data native to Clearinghouse products,…
Descriptors: Data Collection, Data Use, Decision Making, Higher Education
Wards, Ronetta Paresi – ProQuest LLC, 2022
Schooling experiences for Black students in the US have been shaped historically by anti-education laws, mandates, and initiatives that sustain unjust systemic practices and policies. These practices and policies often stagnate academic progress and have led to institutional deficits and the normalization of deficit-orientations towards students…
Descriptors: Data Use, Leadership, Personal Narratives, Educational Policy
Konruff, Ben; Barker, Hilary; Foster, Anne; Weber, Garratt – New Directions for Community Colleges, 2023
This chapter explores how the Wisconsin Technical College System Student Success Center and the Success Center for Ohio Community Colleges provided support that encouraged data-informed decision-making among 2-year college stakeholders. A case study for each Center is presented to illustrate data-related strategies and lessons learned. The…
Descriptors: Technical Institutes, Data Use, Evidence Based Practice, Decision Making
Gina Johnson; Jenny Parks; Annika Many; Liliana Diaz – Midwestern Higher Education Compact, 2023
In April 2021, the Midwestern Higher Education Compact (MHEC) convened a working group of institution, state, and national leaders to help advise its efforts to develop a set of principles to improve consistency and reliability in the field for measuring cost savings and the return on investment (ROI) of open education resources (OER). The result…
Descriptors: Open Educational Resources, Outcomes of Education, Student Costs, Cost Effectiveness
Guojing Zhou – ProQuest LLC, 2020
In interactive e-learning environments such as Intelligent Tutoring Systems, there are pedagogical decisions to make at two main levels of granularity: whole problems and single steps. Here, we focus on making the problem-level decisions of worked example (WE) vs. problem solving (PS) and the step-level decisions of elicit vs. tell. More…
Descriptors: Educational Policy, Problem Solving, Learning Processes, Competence
Paige Kowalski – State Education Standard, 2024
Everyone who uses student information has a responsibility to maintain students' privacy and the security of their data. Ensuring student data privacy is about so much more than complying with the Family Educational Rights and Privacy Act (FERPA). While privacy must be top of mind when thinking about collecting and using personally identifiable…
Descriptors: State Boards of Education, State Agencies, Public Education, Privacy