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Rosa R. Soto Ruidias; Bernardo Pereira Nunes; Ruben Manrique; Sean Siqueira – Journal of Learning Analytics, 2025
Despite the increasing availability of data used to inform educational policies and practices, concerns persist regarding its quality and accessibility. This study surveys quality education data from Brazil, Colombia, and Peru and evaluates their alignment with the FAIR principles and availability to support academic analytics (AA) and learning…
Descriptors: Foreign Countries, Educational Quality, Learning Analytics, Educational Research
John Hattie; Douglas Fisher; Nancy Frey; John Taylor Almarode – Corwin, 2024
It may seem obvious, but learning should never be implied or assumed. Learning must be explicit, evaluated and monitored; the impact of teaching on student learning should be visible. But how can we be sure? Armed with years of research that includes more than 2,100 meta-analyses, and 130,000 studies that include more than 300 million…
Descriptors: Evidence Based Practice, Data Collection, Data Use, Educational Quality
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Julie Fitz; Julie Woods; Naomi Duran; Jennifer McCombs – Learning Policy Institute, 2025
Student participation in summer programming can be an effective way to address students' academic and developmental needs. When well implemented and well attended, summer enrichment programs, academic programs, and employment programs have demonstrated positive outcomes for youth in areas related to program content, including academic achievement…
Descriptors: Summer Programs, Educational Opportunities, Educational Quality, Regional Characteristics
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Julie Fitz; Julie Woods; Naomi Duran; Jennifer McCombs – Learning Policy Institute, 2025
As federal funding for summer learning as a pandemic recovery strategy phases out, state governments face decisions about their future role in supporting students' access to quality summer learning opportunities. This brief is based on the full report, "How States Are Expanding Quality Summer Learning Opportunities," and summarizes…
Descriptors: Summer Programs, Educational Opportunities, Educational Quality, Regional Characteristics
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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
Andrea Lépine; Ana Luiza Minardi – UNICEF Innocenti - Global Office of Research and Foresight, 2024
The Data Must Speak (DMS) Positive Deviance research aims to improve the equity and quality of education through the use of data by studying the practices and behaviours of 'positive deviant' schools -- schools that outperform others despite operating in similar contexts and with equivalent resources. The analysis aims to inform practical…
Descriptors: Foreign Countries, School Effectiveness, Educational Quality, Equal Education
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Neil Dixon; Rob Howe; Uwe Matthias Richter – Research in Learning Technology, 2025
Learning analytics (LA) provides insight into student performance and progress, allowing for targeted interventions and support to improve the student learning experience. Uses of LA are diverse, including measuring student engagement, retention, progression, student well-being and curriculum development. This article provides perspectives on the…
Descriptors: Learning Analytics, Educational Benefits, Case Studies, Higher Education
UNESCO International Institute for Educational Planning, 2023
Quality, timely, purpose-driven education in emergencies (EiE) data can enable more effective response to education needs in crisis settings and strengthen system resilience. However, a growing body of evidence points to a number of problems related to the production, sharing, and use of EiE data within education information management systems…
Descriptors: Emergency Programs, Crisis Management, Data Analysis, Data Use
Noonan, James; Schneider, Jack – Phi Delta Kappan, 2022
Parents and the public use accountability data to judge if schools are doing a good or a bad job educating their students. However, using the current data, schools perceived as "good" tend to be in better-resourced districts and enroll higher percentages of wealthy and white students. Schools perceived as "bad" tend to be in…
Descriptors: Educational Quality, Accountability, School Demography, Educational Resources
Peter Rankin; Sally Staton; Alicia Jones; Azhar Hussain Potia; Sandy Houen; Bridget Healey; Karen Thorpe – Australian Education Research Organisation Limited, 2024
In 2023, the Australian Education Research Organisation (AERO) and researchers from the Queensland Brain Institute at The University of Queensland partnered to examine how specific aspects of quality relate to learning and development outcomes for children in Australia. This study contributes the first empirical evidence linking quality ratings of…
Descriptors: Educational Quality, Child Development, Early Childhood Education, Child Care Centers
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Ling Wang; Guochu Liang – International Journal of Web-Based Learning and Teaching Technologies, 2025
The rapid development of online education has underscored the necessity of data-driven teaching functions for enhancing teaching quality and efficiency. This paper investigates the role of data-driven approaches in online education, with a particular focus on the practical application of data for evaluating learning outcomes. It highlights the…
Descriptors: Data Use, Educational Quality, Online Courses, Distance Education
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Hongyu Xie; He Xiao; Yu Hao – International Journal of Web-Based Learning and Teaching Technologies, 2024
Modern e-learning system is a representative service form in innovative service industry. This paper designs a personalized service domain system, optimizes various parameters and can be applied to different education quality evaluation, and proposes a decision tree recommendation algorithm. Information gain is carried out through many existing…
Descriptors: Artificial Intelligence, Electronic Learning, Individualized Instruction, Models
Peter Rankin; Sally Staton; Alicia Jones; Azhar Hussain Potia; Sandy Houen; Bridget Healey; Karen Thorpe – Australian Education Research Organisation Limited, 2024
Government investment in early childhood education and care (ECEC) supports children's ongoing development, learning and wellbeing, and delivers the skills and knowledge required for a thriving society and economy. Assessing the efficiency of this investment, as well as methods for ongoing monitoring are important steps in delivering effective…
Descriptors: Educational Quality, Child Development, Early Childhood Education, Foreign Countries
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Abbie Raikes – Journal of Research in Childhood Education, 2024
As countries make continued investments in early childhood care and education (ECCE) systems, data and measurement play a critical role in outlining strengths and areas for improvement. To promote data-driven decision-making across all levels of early childhood systems, measurement must be valid, reliable, and feasible, especially when used at…
Descriptors: Early Childhood Education, Data Use, Decision Making, Child Care
Joshua H. Barnett – ASCD, 2024
The teacher leaders who get the best results are the ones who explore the role's full potential, but it can be a challenge to get beyond a basic understanding of the responsibilities involved. The National Institute for Excellence in Teaching (NIET) wants to make it easier. "Unleashing Teacher Leadership" presents best practices and…
Descriptors: Teacher Leadership, Leadership Effectiveness, Best Practices, Instructional Improvement
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