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Broumi, Said, Ed. – IGI Global, 2023
Fuzzy sets have experienced multiple expansions since their conception to enhance their capacity to convey complex information. Intuitionistic fuzzy sets, image fuzzy sets, q-rung orthopair fuzzy sets, and neutrosophic sets are a few of these extensions. Researchers and academics have acquired a lot of information about their theories and methods…
Descriptors: Theories, Mathematical Logic, Intuition, Decision Making
Webber, Karen L., Ed.; Zheng, Henry, Ed. – Johns Hopkins University Press, 2020
The continuing importance of data analytics is not lost on higher education leaders, who face a multitude of challenges, including increasing operating costs, dwindling state support, limits to tuition increases, and increased competition from the for-profit sector. To navigate these challenges, savvy leaders must leverage data to make sound…
Descriptors: Data Use, Decision Making, Learning Analytics, Higher Education
Rebecca Wolf; Joseph M. Reilly; Steven M. Ross – Journal of Research in Innovative Teaching & Learning, 2021
Purpose: This article informs school leaders and staffs about existing research findings on the use of data-driven decision-making in creating class rosters. Given that teachers are the most important school-based educational resource, decisions regarding the assignment of students to particular classes and teachers are highly impactful for…
Descriptors: Data Use, Decision Making, Teacher Attitudes, Journal Articles
Lester, Jaime; Klein, Carrie; Rangwala, Huzefa; Johri, Aditya – ASHE Higher Education Report, 2017
The purpose of this monograph is to give readers a practical and theoretical foundation in learning analytics in higher education, including an understanding of the challenges and incentives that are present in the institution, in the individual, and in the technologies themselves. Among questions that are explored and answered are: (1) What are…
Descriptors: Educational Research, Data Collection, Data Analysis, Higher Education
van Halem, Nicolette; Cornelisz, Ilja; Daly, Alan; van Klaveren, Chris – International Journal of Research & Method in Education, 2023
In educational contexts where many domains subject to improvement are interdependent and causal evidence is frequently lacking it is difficult, if not impossible, for policymakers and educational practitioners to decide which domain should be invested in. This paper proposes a new method that uses Conditional Mean Independent Correlations (CMIC)…
Descriptors: Educational Improvement, Evaluation Methods, Decision Making, Growth Models
Champion, Robby – Learning Professional, 2017
While designs of professional learning have expanded exponentially beyond the required-attendance inservice day workshop model, infusing meaningful data into daily decisions and conversations has not gained as much traction. Leaders of professional learning are increasingly coming under pressure to demonstrate that evidence is not an anathema in…
Descriptors: Data, Evidence Based Practice, Decision Making, Program Evaluation
McIntosh, Kent; Barnes, Aaron; Eliason, Bert; Morris, Kelsey – Technical Assistance Center on Positive Behavioral Interventions and Supports, 2014
The problem of racial and ethnic discipline disproportionality is both long-standing and widespread. Educators must address this issue by identifying rates of discipline disproportionality, taking steps to reduce it, and monitoring the effects of intervention on disproportionality. The purpose of this guide is to provide a reference for…
Descriptors: Positive Behavior Supports, Intervention, Racial Differences, Ethnic Groups
Annenberg Institute for School Reform at Brown University, 2014
The College Readiness Indicator Systems (CRIS) initiative was developed in response to a troubling pattern: More students than ever are enrolling in college after high school, but many of them are not college ready, as evidenced by persistently low rates of college completion. The sense of urgency to close the gap between college eligibility and…
Descriptors: College Readiness, College Preparation, Systems Approach, Educational Indicators
Lesaux, Nonie K., Ed.; Jones, Stephanie M., Ed. – Harvard Education Press, 2016
"The Leading Edge of Early Childhood Education" aims to support the effort to simultaneously scale up and improve the quality of early childhood education by bringing together relevant insights from emerging research to provide guidance for this critical, fledgling field. It reflects the growing recognition that early childhood…
Descriptors: Early Childhood Education, Academic Achievement, Cognitive Development, Emotional Development
Baldwin, Chris; Borcoman, Gabriela; Chappell-Long, Cheryl; Coperthwaite, Corby A.; Glenn, Darrell; Hutchinson, Tony; Hughes, John; Jenkins, Rick; Jovanovich, Donna; Keller, Jonathan; Klimczak, Benjamin; Schneider, Bill; Stewart, Carmen; Stuart, Debra; Yeager, Michael – Jobs for the Future, 2012
Enrollment is rising across the nation's community colleges, but completion rates remain untenably low. Reformers are focusing on the importance of using comprehensive, high-quality data on student progress and completion to bring about change. A core tenet of Achieving the Dream: Community Colleges Count has been to embed a culture of…
Descriptors: Community Colleges, Enrollment, Educational Attainment, Educational Policy
Massachusetts Department of Elementary and Secondary Education, 2014
The purpose of this guide is to provide information on how to use early warning data, including the Massachusetts Early Warning Indicator System (EWIS), to identify, diagnose, support and monitor students in grades 1-12. It offers educators an overview of EWIS and how to effectively use these data in conjunction with local data by following a…
Descriptors: Dropout Prevention, At Risk Students, Identification, Elementary Secondary Education
Bocala, Candice; Henry, Susan F.; Mundry, Susan; Morgan, Claire – Regional Educational Laboratory Northeast & Islands, 2014
The "Practitioner Data Use in Schools: Workshop Toolkit" is designed to help practitioners systematically and accurately use data to inform their teaching practice. The toolkit includes an agenda, slide deck, participant workbook, and facilitator's guide and covers the following topics: developing data literacy, engaging in a cycle of…
Descriptors: Workshops, Teaching Methods, Literacy, Data Analysis
Rhode Island Department of Education, 2014
New Teacher Evaluation and Support Systems were fully implemented in every public school during the 2012-13 school year. Rhode Island educators have had a significant voice in revising the Student Learning Objective (SLO) process for the 2013-14 school year. Through surveys, focus groups, working groups, principal shadows, regional meetings, and…
Descriptors: Educational Objectives, English Language Learners, Students with Disabilities, Scoring
Therriault, Susan Bowles; Heppen, Jessica; O'Cummings, Mindee; Fryer, Lindsay; Johnson, Amy – National High School Center, 2010
This Early Warning System (EWS) Implementation Guide is a supporting document for schools and districts that are implementing the National High School Center's Early Warning System (EWS) Tool v2.0. Developed by the National High School Center at the American Institutes for Research (AIR), the guide and tool support the establishment and…
Descriptors: High Schools, Dropout Prevention, At Risk Students, Decision Making
Young, Ellie L.; Caldarella, Paul; Richardson, Michael J.; Young, K. Richard – Guilford Publications, 2011
This much-needed guide shows how to implement positive behavior support (PBS) strategies in secondary settings, using a three-tiered approach. The authors adapt the core ideas of PBS to the developmental context of adolescence and the organizational structures of middle schools and junior and senior high schools. With an emphasis on data-based…
Descriptors: Secondary School Students, Student Behavior, Behavior Problems, Behavior Disorders