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Victoria L. Bernhardt – Eye on Education, 2025
With the 5th Edition of Data Analysis for Continuous School Improvement, best-selling Victoria Bernhardt has written the go-to-resource for data analysis in your school! By incorporating collaborative structures to implement, monitor, and evaluate the vision and continuous improvement plan, this book provides a framework to show learning…
Descriptors: Learning Analytics, Data Analysis, Educational Improvement, Evaluation Methods
Fawcett, Darcy – set: Research Information for Teachers, 2019
This Assessment News article introduces readers to a statistical approach to making sense of student assessment data in order to help teachers understand whether or not changes in practice have made a difference to learning. It Worked! is the brainchild of Darcy Fawcett, HoD Science at Gisborne Boys' High School, and Across-School Teacher for the…
Descriptors: Data Analysis, Data Use, Evidence Based Practice, Communities of Practice
Fabienne van der Kleij; Pauline Taylor-Guy; Tanya Vaughan; Marijne Medhurst; Christina Rogers – Australian Council for Educational Research, 2023
This literature review outlines the evidence that underpins the development of a set of evidence-informed elaborations, or specific practices, that support student engagement and wellbeing across the 9 domains of the National School Improvement Tool (NSIT). These observable, measurable practices to support student engagement and wellbeing have…
Descriptors: Educational Improvement, Learner Engagement, Well Being, Academic Achievement
Australian Council for Educational Research, 2022
What happens in schools can have a great and lasting impact on the future wellbeing and outcomes for young people. Schools therefore play an important role in supporting students' engagement and wellbeing. These elaborations are intended to support the work of schools by providing further specificity about the practices in each of the nine domains…
Descriptors: Educational Improvement, Learner Engagement, Well Being, Academic Achievement
Moeller, Eliza; Seeskin, Alex; Nagaoka, Jenny – University of Chicago Consortium on School Research, 2018
The UChicago Consortium, Network for College Success, and the To&Through Project's new paper, "Practice-Driven Data: Lessons from Chicago's Approach to Research, Data, and Practice in Education," shares key lessons learned from Chicago's approach to using data to foster ongoing improvement in students' educational attainment. This…
Descriptors: Public Schools, Data Collection, Data Analysis, Educational Improvement
Kabot, Susan; Reeve, Christine E. – National Professional Resources, Inc., 2016
Faced with increasing demands for accountability, teachers are having to base their instructional decisions and choice of interventions on data on student performance. This book shows how to make this otherwise daunting task much more manageable by means of case studies and countless evidence-based forms and graphs. Although this book often refers…
Descriptors: Data Collection, Data Analysis, Accountability, Decision Making
US Department of Education, 2020
The U.S. Department of Education's (Department) mission is to promote student achievement and preparation for global competitiveness by fostering educational excellence and ensuring equal access. The Department pursues its mission by establishing policies and distributing corresponding funds, focusing national attention on key educational issues,…
Descriptors: Public Agencies, Institutional Mission, Academic Achievement, Educational Policy
Hardy, Ian; Lewis, Steven – British Journal of Sociology of Education, 2017
This article provides insights into teachers' and school administrators' responses to the current "fetishisation" of school performance data in Australian schooling. Specifically, the research investigates the accountability practices that emerged in a Queensland metropolitan primary school in response to this broader focus upon…
Descriptors: Foreign Countries, Elementary School Teachers, Administrators, Educational Practices
Song, Ji Hoon; Kim, Hye Kyoung; Park, Sunyoung; Bae, Sang Hoon – Career and Technical Education Research, 2014
The purpose of this study was to develop an empirical data-driven model for a knowledge creation school system in career technical education (CTE) by identifying supportive and hindering factors influencing knowledge creation practices in CTE schools. Nonaka and colleagues' (Nonaka & Konno, 1998; Nonaka & Takeuchi, 1995) knowledge…
Descriptors: Vocational Education, Evidence Based Practice, Models, Epistemology
Kerr, Deirdre; Chung, Gregory K. W. K. – Journal of Educational Data Mining, 2012
The assessment cycle of "evidence-centered design" (ECD) provides a framework for treating an educational video game or simulation as an assessment. One of the main steps in the assessment cycle of ECD is the identification of the key features of student performance. While this process is relatively simple for multiple choice tests, when…
Descriptors: Evidence Based Practice, Design, Academic Achievement, Educational Games
Worrell, F.; Brabeck, M.; Dwyer, C.; Geisinger, K.; Marx, R.; Noell, G.; Pianta, R. – American Psychological Association, 2014
Effective teaching has long been an issue of national concern, but in recent years focus on the effectiveness of programs to produce high-quality teachers has sharpened. Long-standing achievement gaps persist despite large-scale legislative changes at the federal and state levels, and American students continue to show poorer performance on…
Descriptors: Teacher Education Programs, Educational Assessment, Program Evaluation, Academic Standards
Conn, Samuel S.; English, John; Scheffler, Fred; Hall, Simin – Information Systems Education Journal, 2011
In this report the authors detail a baseline study involving use of epistemic belief data to enhance academic success collected from an undergraduate student population enrolled in an Information Systems undergraduate degree program. Based on an existing line of inquiry, student epistemic belief data were collected and analyzed to determine…
Descriptors: Undergraduate Students, Information Systems, Epistemology, Beliefs
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis