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Raffaghelli, Juliana E.; Grion, Valentina; de Rossi, Marina – Higher Education Quarterly, 2023
As the debate on data in the society and in education grows the attention on data-trace as 'primary material' for governance, educational quality and innovation falls under the spotlights. In this context, HEIs have been put under pressure to adopt quantitative metrics and evaluation approaches enhancing the massive collection of trace data.…
Descriptors: Higher Education, Universities, Data Use, Educational Assessment
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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
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Pangrazio, Luci; Selwyn, Neil; Cumbo, Bronwyn – Learning, Media and Technology, 2023
This paper explores the significance of schools' data infrastructures as a site of institutional power and (re)configuration. Using 'infrastructure studies' as a theoretical framework and drawing on in-depth studies of three contrasting Australian secondary schools, the paper takes a holistic look at schools' data infrastructures. In contrast to…
Descriptors: Data Use, Data Analysis, Data Collection, Information Management
Smith, Shannon Terell – ProQuest LLC, 2023
Principals at Hunter School District, a pseudonym, lacked capacity for using data, a reflection of the district's lack of a culture of data-driven decision-making. HSD was located in New York City, with 23 schools serving 11,600 students; students were 90% Black or Latino with 90% coming from low-income families and 20% living in temporary…
Descriptors: Data Use, Decision Making, Organizational Change, Transformational Leadership
Winesburgh, Alexandria Harden – ProQuest LLC, 2023
This study aimed to discover the perspectives and experiences of elementary school teachers in rural southeast Tennessee regarding their collaborative efforts to effectively implement data-driven instruction for individual student success. The research problem is that the current collaboration efforts for teachers to implement data-driven…
Descriptors: Elementary School Teachers, Teacher Collaboration, Teacher Attitudes, Rural Areas
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Thomas Nordström; André Kalmendal; Lucija Batinovic – Review of Education, 2023
In order to produce the most reliable syntheses of the effectiveness of educational interventions, systematic reviews need to adhere to rigorous methodological standards. This meta-review investigated risk of bias occurring while conducting a systematic review and the presence of open science practices like data sharing and reproducibility of the…
Descriptors: Bias, Scientific Research, Data Use, Sharing Behavior
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Giorgio Di Pietro – European Education, 2023
We use Eurobarometer data to examine barriers to international student mobility. Multivariate analysis is employed to study how individual characteristics are related to the obstacles preventing higher education students from participating in activities in another EU country. The results suggest that several demographic factors including area of…
Descriptors: Student Characteristics, Barriers, Student Mobility, Foreign Countries
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Adam Sales; Ethan Prihar; Johann Gagnon-Bartsch; Neil Heffernan – Society for Research on Educational Effectiveness, 2023
Background: Randomized controlled trials (RCTs) give unbiased estimates of average effects. However, positive effects for the majority of students may mask harmful effects for smaller subgroups, and RCTs often have too small a sample to estimate these subgroup effects. In many RCTs, covariate and outcome data are drawn from a larger database. For…
Descriptors: Learning Analytics, Randomized Controlled Trials, Data Use, Accuracy
Robbie Barber – Knowledge Quest, 2023
Soft or self-censorship is when librarians' modify their book choices, not based on a selection policy, but on the climate. To avoid getting in trouble, they choose books that will not be controversial. The result may be that their self-censorship is a greater threat to school libraries than the actual book challenges. In this article, Robbie…
Descriptors: Censorship, Books, School Libraries, Reading Material Selection
Baeza Dager, Yahemn – ProQuest LLC, 2023
This study aimed to address the state of data driven decision practices within the Division of Student Affairs at South County College. Framed by an exploratory qualitative case study, this project conducted semi-structured interviews of directors of student affairs and a document analysis of annual reports of the seven departments that constitute…
Descriptors: Student Personnel Services, Decision Making, Data Use, Administrators
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Chelsea M. Parlett-Pelleriti; Elizabeth Stevens; Dennis Dixon; Erik J. Linstead – Review Journal of Autism and Developmental Disorders, 2023
Large amounts of autism spectrum disorder (ASD) data is created through hospitals, therapy centers, and mobile applications; however, much of this rich data does not have pre-existing classes or labels. Large amounts of data--both genetic and behavioral--that are collected as part of scientific studies or a part of treatment can provide a deeper,…
Descriptors: Artificial Intelligence, Autism Spectrum Disorders, Classification, Supervision
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Nicole Barnes; Helenrose Fives; Coby V. Meyers; Tonya R. Moon – Journal of Educational Administration, 2025
Purpose: School principals are increasingly responsible for acting as instructional leaders, but research on data teams typically considers principals as secondary players responsible for ensuring that meetings occur but not necessarily for their quality. We investigated how elementary school principals in one district committed to data use…
Descriptors: Elementary Schools, Rural Areas, School Districts, Principals
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Schachter, Rachel E.; Piasta, Shayne B. – Reading Research Quarterly, 2022
Early childhood research and policy have promoted the use of language and literacy assessment data to inform instruction. Yet, there is a limited understanding of preschool teachers' data practices and sensemaking, particularly when considered from the perspectives of practicing teachers. In this multicase study, we used a phenomenological…
Descriptors: Preschool Teachers, Data Use, Knowledge Level, Teaching Methods
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Prøitz, Tine Sophie; Novak, Judit; Mausethagen, Sølvi – Educational Assessment, Evaluation and Accountability, 2022
The use of data for governance purposes has been widely recognised as a way for national authorities to coordinate their activities across administrative levels and improve educational quality. This places the mid-central authority--in many countries the municipal level--in the midst of modern education governing. This article reports a case study…
Descriptors: Academic Achievement, Data Use, Educational Policy, Student Evaluation
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Švábenský, Valdemar; Vykopal, Jan; Celeda, Pavel; Kraus, Lydia – Education and Information Technologies, 2022
Cybersecurity professionals need hands-on training to prepare for managing the current advanced cyber threats. To practice cybersecurity skills, training participants use numerous software tools in computer-supported interactive learning environments to perform offensive or defensive actions. The interaction involves typing commands, communicating…
Descriptors: Data Use, Learning Analytics, Information Security, Training
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