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McNamara, Gerry; Brown, Martin; Gardezi, Sarah; O'Hara, Joe; O'Brien, Shivaun; Skerritt, Craig – SAGE Open, 2021
School self-evaluation (SSE) has emerged as a widely used approach to school evaluation in recent decades. This has occurred in the context of what is referred to as "New Public Management," an element of which seeks to empower public institutions to make decisions locally about improving their processes and standards. Inspection regimes…
Descriptors: Self Evaluation (Groups), Decision Making, Foreign Countries, Teacher Attitudes
Tsai, Yi-Shan; Whitelock-Wainwright, Alexander; Gasevic, Dragan – Journal of Learning Analytics, 2021
The adoption of learning analytics (LA) in complex educational systems is woven into sociocultural and technical challenges that have induced distrust in data and difficulties in scaling LA. This paper presents a study that investigated areas of distrust and threats to trustworthy LA through a series of consultations with teaching staff and…
Descriptors: Learning Analytics, Program Implementation, Trust (Psychology), Higher Education
Barnes, Nicole; Brighton, Catherine M.; Fives, Helenrose; Meyers, Coby; Moon, Tonya R. – Theory Into Practice, 2022
Data use has gained policy traction at the federal, state, and local levels in the United States and internationally, and is now embedded in teacher, principal, and district leader standards in the U.S. However, many decisions implemented in policy and practice are being made on insufficient evidence and assume a relatively straightforward,…
Descriptors: Teaching Methods, Data Use, Decision Making, Educational Policy
Data Quality Campaign, 2021
State leaders are grappling with generation-defining challenges as they work to fully understand and address the impact of the pandemic on students and communities. As leaders turn their attention to the upcoming school year, data continues to be a critical tool for informing recovery efforts. Data Quality Campaign's (DQC) 2021 public opinion…
Descriptors: Data Use, Attitudes, COVID-19, Pandemics
Data Quality Campaign, 2020
This year saw unprecedented disruptions to schools and to students' lives across the country. With a global pandemic shutting school doors, causing economic instability, and highlighting the impact of systemic racism, policymakers and education leaders are looking to data to help them respond and recover. The Data Quality Campaign's 2020 research…
Descriptors: Data Use, Data Collection, COVID-19, Pandemics
Lawson, Hal A.; Lawson, Michael A. – Education Sciences, 2020
Isolated teachers in stand-alone American schools are expected to engage diverse students in the quest to facilitate their academic learning and achievement. This strategy assumes that all students will come to school ready and able to learn, and educators in stand-alone schools can meet the needs of all students. Student disengagement gets short…
Descriptors: Learner Engagement, Holistic Approach, Cooperation, School Community Relationship
Taylor, Leonard D., Jr. – Review of Higher Education, 2020
In this study I explored the experiences of institutional actors (e.g. administrators, faculty and staff members) responsible for student success efforts at research universities. Through Critical Discourse Analysis of interview transcripts and institutional documents, I traced how neoliberalism and other economic logics propagated through the…
Descriptors: Neoliberalism, Data Use, Decision Making, College Faculty
Carrier, Linda L.; Whaland, Michael – Rural Educator, 2017
The high-stakes accountability policies that stemmed from NCLB and Race to the Top required minimum group sizes in order for school performance to be analyzed through state accountability formulas. Small rural schools have frequently been left out of this equation due to a lack of consistently reportable aggregate groups and subgroups. The…
Descriptors: Accountability, Educational Policy, Data Use, Decision Making
Paananen, Maiju – International Studies in Sociology of Education, 2020
This article explores the deployment of numerical criteria in the practices of steering by presenting a local case of governing early childhood education (ECE). In this case, a specific numerical tool for governance, namely, child-staff ratio is used in various ways in the everyday life of preschools. This paper uses data from interviews of…
Descriptors: Teacher Student Ratio, Preschool Children, Preschool Teachers, Governance
Marsh, Julie A.; Kennedy, Kate – Teachers College Record, 2020
Background/Context: Researchers have amassed considerable evidence on the use of student performance data (e.g., benchmark and standardized state tests) to inform educational improvement, but few have examined the use of nonacademic indicators (e.g., indicators of social and emotional well-being) available to educators, and whether the factors…
Descriptors: Social Emotional Learning, Educational Practices, Educational Improvement, Well Being