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Laura Lipton; Bruce Wellman – Solution Tree, 2024
"Learning-Focused Supervision: Developing Professional Expertise in Standards-Driven Systems" is a practical guide for instructional supervisors at any level. With real-world examples, QR-linked videos, and actionable strategies, this updated second edition aligns supervision with today's educational trends, elevating teacher…
Descriptors: Supervision, Supervisors, Teacher Effectiveness, Elementary Secondary Education
Laura Smithers – Change: The Magazine of Higher Learning, 2024
Speculative reform jumps the gun on notions of data-driven reform, requiring administrators to anticipate and act to ensure problems (and the data that would show them) do not materialize. Speculative reforms are incapable of delivering the outcomes they promise, as they are fueled by a fear of the future that their reforms do not extinguish. In…
Descriptors: Educational Policy, Higher Education, Educational Change, Outcomes of Education
David Baidoo-Anu; Isaac Ennu Baidoo – Education Inquiry, 2024
Undergirded by "economic theory of the principal-agent problem", the study investigated secondary school teachers' perception of the influence of large-scale testing accountability on teaching and learning. Cross-sectional survey design was used. Simple random sampling was also employed to select 200 teachers for this study. The…
Descriptors: Foreign Countries, Measurement, Teacher Attitudes, Accountability
Meagan Karvonen; Lindsay Ruhter; Amy K. Clark – Exceptionality, 2024
Students with extensive support needs (ESN), most of whom are taught in separate settings by special educators without extensive academic preparation, have difficulty making progress in the general education curriculum. Although there is evidence that data-based decision-making improves achievement for a wide range of students, there is little…
Descriptors: Students with Disabilities, Academic Education, Data Use, Decision Making
Frank Lee; Alex Algarra – Information Systems Education Journal, 2024
Exploratory data analysis (EDA), data visualization, and visual analytics are essential for understanding and analyzing complex datasets. In this project, we explored these techniques and their applications in data analytics. The case discusses Tableau, a powerful data visualization tool, and Google BigQuery, a cloud-based data warehouse that…
Descriptors: Visual Aids, Data Use, Data Collection, Naming
Jameson D. Lopez; Kyle X. Hill; Jana Hanson – Association for Institutional Research, 2024
The purpose of this project is to explore the limitations of federal postsecondary data as data as those data relate to Indigenous students and to Tribal Colleges and Universities. After first establishing some of the statistical limitations we commonly find in postsecondary data with Indigenous students, we provide strategies and practices that…
Descriptors: Indigenous Populations, Minority Serving Institutions, Tribally Controlled Education, Minority Group Students
Center for IDEA Early Childhood Data Systems (DaSy), 2024
This guide by DaSy, NCPMI, and ECTA provides cross-sector teams at the state, territory, tribal, and local levels with strategies for collecting and using data across the mixed delivery system of early care and education programs. Collecting and analyzing qualitative and quantitative data can help inform teams to develop policy and practices that…
Descriptors: Outcomes of Education, Data Use, Discipline, Data Collection
Hutton, Amy – Strategic Enrollment Management Quarterly, 2021
Strategy and research are essential parts of strategic enrollment management (SEM), yet little information exists regarding how to use research and predictive analytics for effective strategy. It is often easier to react to what is happening in the moment, rather than be proactive in predicting the future or developing long-term plans. This…
Descriptors: Enrollment Management, Strategic Planning, Educational Research, Prediction
Jessica R. Toste; Marissa J. Filderman; Nathan H. Clemens; Erica Fry – Journal of Learning Disabilities, 2025
Data-based instruction (DBI) is a process in which teachers use progress data to make ongoing instructional decisions for students with learning disabilities. Curriculum-based measurement (CBM) is a common form of progress monitoring, and CBM data are placed on a graph to guide decision-making. Despite the central role that graph interpretation…
Descriptors: Preservice Teachers, Data Use, Decision Making, Progress Monitoring
Flávio Marques; Leonardo Lignani; João Quadros; Myrna Amorim; Windson Viana; Eduardo Ogasawara; Joel dos Santos – Technology, Knowledge and Learning, 2025
Educational games help reinforce educational concepts. They help students learn through hypothesizing, probing, and reflecting upon the game environment. Understanding the impact of a game is important before deploying it in a class. Recent studies in learning analysis describe methodologies and approaches for analyzing educational games. However,…
Descriptors: Design, Educational Games, Reinforcement, Game Based Learning
Angelos Giannoulas; Antonios Kalamatianos; Kalliope Kounenou – Online Learning, 2025
During the COVID-19 pandemic, education systems policymakers realized the importance of being able to communicate using technology and to fulfill their academic obligations. As a consequence, a different approach to education followed: blended learning. A literature review revealed a lack of psychometric tools related to blended teaching readiness…
Descriptors: Greek, Blended Learning, Readiness, Measures (Individuals)
Chris Wilcoxen; Riley Newman; Morgan Wulff – Educational Process: International Journal, 2025
Background/Purpose: This study examines the use of the Interactive Growth Guide, a structured coaching tool, within a year-long high-intensity induction program for beginning teachers. Specifically, the study investigates how the Interactive Growth Guide was integrated into the mentoring relationship between a beginning teacher and her coach and…
Descriptors: Coaching (Performance), Mentors, Beginning Teachers, Beginning Teacher Induction
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
Center for IDEA Early Childhood Data Systems (DaSy), 2025
In 2014, OSEP instituted the Statewide Systemic Improvement Plan (SSIP) reporting requirement. The SSIP was designed as a comprehensive multi-year plan for improving results for infants and toddlers with disabilities and their families through system strengthening efforts. States/entities work to improve their infrastructure, implement…
Descriptors: Infants, Toddlers, Technical Assistance, Disabilities
S. Andrew Garbacz; Devon R. Minch; Mark D. Weist – Guilford Press, 2025
Family-school collaboration has proven benefits for students' social, emotional, behavioral, and academic functioning, yet many schools struggle to create and sustain effective partnerships with families. This timely resource provides an equity-focused, culturally responsive framework for embedding family collaboration within multi-tiered systems…
Descriptors: Multi Tiered Systems of Support, Family Involvement, Family School Relationship, Culturally Relevant Education

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