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Dresback, Michael Kyle – ProQuest LLC, 2023
Accountability has pushed principals to use data to drive and inform decisions in schools to positively impact student achievement. Research has shown that principals are the second most important impact on student achievement, second only to teachers. Principals who can lead change in schools based on data driven response have a positive impact…
Descriptors: Administrator Attitudes, Principals, High Schools, Data Use
Neeta Nadira Ahmed – ProQuest LLC, 2023
This qualitative grounded study investigated professional development, pre-service and in-service that 7 high school principals, 3 assistant principals, and 2 directors in New York State received to build their instructional leadership capacity. The researcher conducted 12 interviews via Zoom video conferencing to ascertain how preparation…
Descriptors: Professional Development, High Schools, Principals, Assistant Principals
Michael Klein; Zac Chase, Contributor – Office of Educational Technology, US Department of Education, 2023
This is the third in a series of five briefs published by the U.S. Department of Education Office of Educational Technology on the key considerations facing educational leaders as they work to build and sustain core digital infrastructure for learning. These briefs offer recommendations to complement the fundamental infrastructure considerations…
Descriptors: Elementary Secondary Education, Educational Technology, Technology Uses in Education, Privacy
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Jason C. Garvey – Educational Studies: Journal of the American Educational Studies Association, 2024
In this article, I examine campus climate studies through radical incrementalism and queer pragmatism. As a statistician and institutional researcher, I embrace data-informed decisions to promote resource reallocation and policy formation. Yet, as a queer person, I have misgivings about incrementalism as a dominant strategy that aligns queerness…
Descriptors: College Environment, Homosexuality, LGBTQ People, Educational Research
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Wenwei Luo; Huihua He; Hui Li – Early Education and Development, 2024
"Research Findings:" Digital leadership as an urgent and emerging topic has attracted public attention, but its nature, definition, and constructs have not been thoroughly explored for the Chinese culture. This study uses a grounded theory approach to examine how Chinese principles are utilized at "Model Level" preschools to…
Descriptors: Early Childhood Education, Instructional Leadership, Principals, Administrator Attitudes
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David Blazar; Beth Schueler – Journal of Research on Educational Effectiveness, 2024
What guidance does research provide about how to improve school district performance in the United States? Despite over 30 years of inquiry on the topic of effective districts, existing frameworks are relatively narrow in terms of disciplinary focus (primarily educational leadership perspectives) and research design (primarily qualitative case…
Descriptors: School Districts, Educational Policy, Educational Practices, Interdisciplinary Approach
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Jo Albin-Clark; Nathan Archer; Liz Chesworth – Contemporary Issues in Early Childhood, 2024
In this paper, we ponder the ecologies of spacetimematterings folded into resistance practices and their relationality with figurations of agency outside and beyond datafication agendas. Accountability cultures bound up with datafication have consequences that include a diminished agency for both children and educators. We take inspiration from…
Descriptors: Data Use, Resistance to Change, Early Childhood Education, Child Care
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Andrea Zanellati; Stefano Pio Zingaro; Maurizio Gabbrielli – IEEE Transactions on Learning Technologies, 2024
Academic dropout remains a significant challenge for education systems, necessitating rigorous analysis and targeted interventions. This study employs machine learning techniques, specifically random forest (RF) and feature tokenizer transformer (FTT), to predict academic attrition. Utilizing a comprehensive dataset of over 40 000 students from an…
Descriptors: Dropouts, Dropout Characteristics, Potential Dropouts, Artificial Intelligence
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Md Akib Zabed Khan; Agoritsa Polyzou – Journal of Educational Data Mining, 2024
In higher education, academic advising is crucial to students' decision-making. Data-driven models can benefit students in making informed decisions by providing insightful recommendations for completing their degrees. To suggest courses for the upcoming semester, various course recommendation models have been proposed in the literature using…
Descriptors: Academic Advising, Courses, Data Use, Artificial Intelligence
Laurie Mazelin – ProQuest LLC, 2024
While utilizing assessment data has been a pervasive practice in educational reform for decades, and teachers are expected to use assessment data to improve instruction, little is known about how the practice of requiring teachers to review test data affects their perception of effectiveness in addressing the learning gaps of student groups. This…
Descriptors: Teacher Attitudes, Educational Practices, Data Use, Evaluation Methods
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Priya C. Kumar – Information and Learning Sciences, 2024
Purpose: This article advocates that privacy literacy research and praxis mobilize people toward changing the technological and social conditions that discipline subjects toward advancing institutional, rather than community, goals. Design/methodology/approach: This article analyzes theory and prior work on datafication, privacy, data literacy,…
Descriptors: Privacy, Information Policy, Data Use, Literacy
Mark A. Elgart – Phi Delta Kappan, 2024
Shifts in the education system to more student-centered learning will require state and local education agencies to rethink how they do their work. Current accountability systems focus on compliance with standards, as demonstrated in annual summative assessments. Mark Elgart explains that a new approach to accountability will offer more authentic…
Descriptors: School Districts, Accountability, Educational Change, Educational Improvement
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Muhammad Fauzan Ansyari; Kristof De Witte; Wim Groot – Journal of Professional Capital and Community, 2024
Purpose: An evidence-based approach to improving instructional practices and student outcomes in data use. It is a systematic process of evaluating and analysing learning problems, collecting and transforming various types of data into instructional decisions, and implementing informed actions to improve instruction and student learning. Since…
Descriptors: Data Use, Educational Practices, Higher Education, Teacher Characteristics
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Minkyung Lee; Priya Sharma – International Journal of Educational Technology in Higher Education, 2024
This study explores the dynamics of student interaction networks within an online asynchronous discussion forum, focusing on both whole group discussions and subgroup interactions distinguished by the Louvain algorithm, a renowned community detection method. Analyzing 2481 posts from 154 undergraduate students across three sections of a…
Descriptors: Electronic Learning, Group Instruction, Grouping (Instructional Purposes), Cooperative Learning
Megan Bennett; Lorén Cox – Aspen Institute, 2024
The U.S. education system is facing severe challenges, including student learning loss, declining academic performance, a youth mental health crisis, and increasing absenteeism. Yet these challenges also provide a catalyst for transformational change. But a new paradigm for education cannot be done without the support for transformative school…
Descriptors: Principals, School Administration, Administrator Role, Change Agents
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