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Moore, Colleen; Bracco, Kathy Reeves – Education Insights Center, 2018
California's education data, at least as they currently are collected, managed, and made available, are not sufficient for understanding and addressing the needs of California's students. That's the conclusion of the first three reports in the series "California Education Policy, Student Data, and the Quest to Improve Student Progress,"…
Descriptors: Information Needs, Longitudinal Studies, Educational Policy, Educational Improvement
Jones, Gary – SAGE Publications Ltd (UK), 2018
There is a vast amount of research on what goes on in schools, but how can school leaders sort credible findings from dubious claims and use these to make informed decisions that benefit their schools? How can abstract ideas from research be translated into dynamic plans for action? This book is a practical guide to evidence-based school…
Descriptors: Evidence Based Practice, Instructional Leadership, Middle Management, Decision Making
Lammert, Jill; Moore, Hadley; Bitterman, Amy – IDEA Data Center, 2018
This toolkit is designed to assist states as they plan for and carry out their efforts to collect, report, analyze, and use high-quality parent and family involvement data. It defines key concepts; offers guidance on ways to improve the quality of the collection, analysis, and use of parent and family involvement data; and provides resources and…
Descriptors: Parent Participation, Family Involvement, Data Collection, Data Analysis
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Karimov, Ayaz; Saarela, Mirka; Kärkkäinen, Tommi – International Educational Data Mining Society, 2023
Within the last decade, different educational data mining techniques, particularly quantitative methods such as clustering, and regression analysis are widely used to analyze the data from educational games. In this research, we implemented a quantitative data mining technique (clustering) to further investigate students' feedback. Students played…
Descriptors: Student Attitudes, Feedback (Response), Educational Games, Information Retrieval
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Madsen, Miriam – Discourse: Studies in the Cultural Politics of Education, 2023
With the increased use of data in the governance of education, studies on how human beings interact with data become increasingly important. Recent scholarship has conceptualized human responses to data through the notion of affectivity. While this conceptualization offers a viable alternative to previous rational choice theorizations of human…
Descriptors: Governance, Decision Making, Unemployment, Data Analysis
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González-Pérez, Paula; Marrero-Galván, Juan José – Journal of Technology and Science Education, 2023
Teachers often use analogies to introduce unfamiliar or complex concepts. However, several studies have found that their knowledge on how to use them is limited or superficial. Similarly, the integration of technological resources in the teaching-learning processes is not always carried out efficiently, which evidences the need to improve…
Descriptors: Foreign Countries, Masters Degrees, Science Teachers, Science Education
Claiborne, Joi; Smith, Jameel M. – Communique, 2023
The integration of behavioral health services in primary care has become increasingly popular in pediatric settings in recent years. While there are various models of integrated behavioral health (IBH), the aim is constant: to increase access to behavioral and mental health care through collaboration between behavioral health providers and…
Descriptors: School Psychologists, Role, Interdisciplinary Approach, Primary Health Care
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Fish, Lynn A. – Decision Sciences Journal of Innovative Education, 2023
This teaching brief describes an experiential project used in a graduate Principles of Management course for nonbusiness undergraduate students. Groups of four to six first-year MBA students interviewed a seasoned manager online twice over the 8-week course and discussed the applications of course material. Project subtopics included an…
Descriptors: Experiential Learning, Business Administration Education, Undergraduate Students, Masters Programs
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Stillman, Gloria Ann; Brown, Jill P. – Mathematical Thinking and Learning: An International Journal, 2023
This paper investigates students' mathematical modeling activity in data-rich modeling tasks. It aims at gaining insight into how students develop meaning when modeling data-rich situations and the mathematical models produced. A tendency to model a particular dataset, rather than the phenomenon that the dataset is a particular instance of, has…
Descriptors: Mathematical Models, Data Analysis, Grade 10, Grade 11
Alabama State Department of Education, 2023
This Quick Facts document provides a snapshot of facts about Alabama school systems and public schools; Alabama students; Alabama educators; National School Lunch Program lunches served; Alabama school buses; Alabama gifted students; total personnel; average daily attendance; graduation rate; average ACT score; AMSTI schools; ACCESS virtual…
Descriptors: School Districts, Public Schools, Lunch Programs, Bus Transportation
Marisa Crozier – ProQuest LLC, 2023
Disproportionality in education is defined as the overrepresentation of specific racial or ethnic groups requiring special education (NJDOE New Jersey Department of Education [OSEP], 2018). Minority students who may be inappropriately identified as having disabilities may be harmed by being stigmatized with labels, experiencing lower expectations,…
Descriptors: Minority Group Students, Special Education, Administrators, Attitudes
Office of Inspector General, US Department of Education, 2023
The objective of this inspection was to determine what steps the Office of Special Education and Rehabilitative Services (OSERS) has taken to implement its final regulations on significant disproportionality in special education. The inspection found that OSERS provided general guidance and technical assistance for State educational agencies…
Descriptors: Students with Disabilities, Federal Legislation, Equal Education, Educational Legislation
Terrence Narinesingh – Online Submission, 2023
This study introduces the Strategic Universal Design for Learning Course Development Framework™ (S-UDLCD™), the S-UDLCD™ Framework for Student Success™, and the Narinesingh Traffic Light Model™--three integrated, data-driven models designed to improve student retention, engagement, and instructional effectiveness in K-12 and higher education…
Descriptors: Access to Education, School Holding Power, Learner Engagement, Elementary Secondary Education
Daniel Carr; Laura Good; Lihini De Silva; Jenny Donovan; Zid Mancenido; Kate Ridgway, Contributor; John Ainley, Contributor – Australian Education Research Organisation Limited, 2023
Over the past three decades Australia has developed an increasingly advanced national system of student assessments, results from which have been used to identify areas of growth, stagnation or decline in student learning. For the most part, trends in different standardised assessments have been considered in isolation. By examining literacy and…
Descriptors: Benchmarking, Foreign Countries, National Competency Tests, Student Evaluation
Mehrotra, Sarah; Morgan, Ivy S.; Socol, Allison – Education Trust, 2021
While new teachers bring energy and passion into their classrooms and schools, they can find themselves incredibly challenged as they learn how to plan and implement lessons, collect and use data to inform their instructional practices, build relationships with students and families, manage classroom behavior, and meet the varying academic,…
Descriptors: African American Students, Experienced Teachers, Educational Quality, Teacher Competencies
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