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Mandinach, Ellen B.; Miskell, Ryan C. – LEARNing Landscapes, 2017
This study examined how the affordances of technologies in the blended learning affected teaching and learning activities. The study used mixed methods to examine whether the blended learning environments provided enhanced access to and more diverse data for teachers and students from which to make educational decisions. The study found that the…
Descriptors: Blended Learning, Data Use, Technology Uses in Education, Affordances
State Longitudinal Data Systems: Worth the Legislative Investment to Connect Workforce and Education
Anne Wicks; Amanda Wirtz – George W. Bush Institute, 2024
Determining whether a state's young people are on track for a life of opportunity is a difficult task for governors and state leaders. States can be both awash in data and unable to easily access and use that data to inform policy. State longitudinal data systems that meaningfully connect workforce, higher education, K-12, and early childhood…
Descriptors: State Legislation, Data Analysis, Learning Analytics, Information Systems
National Forum on Education Statistics, 2024
The "Forum Guide to Data Literacy" is designed to help education agencies understand and build data literacy skills among various stakeholder groups such as administrators, teachers, students, parents and other caregivers, school board members, legislators, and community groups. This resource defines and discusses the importance of data…
Descriptors: Public Agencies, Statistics, Data Analysis, Statistics Education
Nathan Lieng; Jason L. Morín; Que-Lam Huynh; Janet S. Oh – Association for Institutional Research, 2024
Higher education leaders have repeatedly called for improved diversity, equity, and inclusion efforts, but many institutions continue to fall short. Data can play an integral role in this work; key among them are data on student demographics, including race/ethnicity. Meeting diversity, equity, and inclusion goals requires a thorough and nuanced…
Descriptors: Data Collection, Data Analysis, Data Use, Minority Group Students
Cynthia N. Carvajal; Felecia Russell; Yadira Ortiz – Association for Institutional Research, 2024
Inclusivity in data reports for undocumented students can be difficult to achieve. By nature of those students' status and livelihood, there is contention among academics and practitioners on whether this is a population that should not be formally tracked or identified, for a variety of reasons. Concerns about tracking arise because of the…
Descriptors: Inclusion, Undocumented Immigrants, Critical Theory, Privacy
Bingham, Andrea J. – Kappa Delta Pi Record, 2019
In this case study, learn how creation and use of modules, mastery-based grading, immediate feedback and consistent data use, and the reimagining of the school schedule allowed teachers to engage in personalization of the curriculum.
Descriptors: Individualized Instruction, Mastery Learning, Grading, Feedback (Response)
Groover, Cynthia D.; McBrayer, Juliann Sergi; Cleveland, Richard; Riggs, Amy Jo – Research & Practice in Assessment, 2019
Many institutions implement assessment teams as resources to develop faculty and staff knowledge of and confidence in programmatic assessment processes. Additional resources may include rubrics or peer review and feedback, but effectiveness of these resources is rarely evaluated. Programmatic assessment allows institutions to examine the impact of…
Descriptors: Student Personnel Services, Student Personnel Workers, Administrator Surveys, Scoring Rubrics
Rudolph, Norma; Millei, Zsuzsanna; Alasuutari, Maarit – South African Journal of Childhood Education, 2019
Background: In 1994, the African National Congress identified early childhood development as a potential strategy to redress the inequalities of apartheid, however, two and a half decades later, poverty still persists, and South Africa is one of the most unequal countries in the world. Aim: This article explores how policy texts based on and with…
Descriptors: Foreign Countries, Child Development, Public Policy, Data Use
Spangler, Donna – Learning Professional, 2019
Microcredentials create opportunities for continuing growth of all teachers based on specific needs. They provide ways for teachers to lead their own learning while allowing administrators to identify and address teachers' needs as well as the expertise teachers have to share with their colleagues. Microcredentials are different from traditional…
Descriptors: Credentials, Faculty Development, Competency Based Education, Communities of Practice
Demchak, MaryAnn; Sutter, Chevonne – Education and Training in Autism and Developmental Disabilities, 2019
Abstract: This study evaluated whether or not teachers of students with severe disabilities reported implementing specific data-based decision guidelines to make instructional decisions (Browder, Liberty, Heller, & D'Huyvetters, 1986; Browder, Demchak, Heller, & King, 1989) following completion of their teacher preparation program. A…
Descriptors: Data Use, Decision Making, Teacher Attitudes, Severe Disabilities
Gerber, Hannah R.; Sweeney, Kevin; Pasquini, Erica – Educational Media International, 2019
This mixed-methods research was conducted to understand the impact of learning and player growth in a League of Legends summer camp. Eighteen adolescents engaged in a three-day sleep-over summer camp with various team building activities. Data collected included API metadata from pre- and post-camp as well as semi-structured interview data with…
Descriptors: Summer Programs, Resident Camp Programs, Teamwork, Video Games
Hewitt, Rachel – Higher Education Policy Institute, 2019
In this new Policy Note, Rachel Hewitt, HEPI's Director of Policy and Advocacy, highlights the need to distinguish between mental health and well-being and calls for more comprehensive data to be made available on the well-being of all those work and study at universities. Key points: (1) The conflation of mental health and well-being is not…
Descriptors: Well Being, Higher Education, Mental Health, Data Collection
Gleason, Philip; Crissey, Sarah; Chojnacki, Greg; Zukiewicz, Marykate; Silva, Tim; Costelloe, Sarah; O'Reilly, Fran – National Center for Education Evaluation and Regional Assistance, 2019
Most districts help teachers use data to improve student learning, often supporting this effort with federal funds. But many teachers feel unprepared to use student data to inform their instruction -- referred to as data-driven instruction (DDI) -- and there is little evidence of whether it improves student achievement. This report assesses an…
Descriptors: Data Use, Instruction, Academic Achievement, Professional Development
Gleason, Philip; Crissey, Sarah; Chojnacki, Greg; Zukiewicz, Marykate; Silva, Tim; Costelloe, Sarah; O'Reilly, Fran – National Center for Education Evaluation and Regional Assistance, 2019
As part of their improvement efforts, schools have increasingly turned to the use of data to improve instruction. This is due in part to the increasing availability of student assessment data throughout the school year. The strategy of using assessment and other data to inform teachers' instruction is often called data-driven instruction (DDI).…
Descriptors: Data Use, Instruction, Academic Achievement, Professional Development
Gleason, Philip; Crissey, Sarah; Chojnacki, Greg; Zukiewicz, Marykate; Silva, Tim; Costelloe, Sarah; O'Reilly, Fran – National Center for Education Evaluation and Regional Assistance, 2019
The three appendices in this publication accompany the full report, "Evaluation of Support for Using Student Data to Inform Teachers' Instruction. NCEE 2019-4008" (ED598641). They include: (1) Supplemental Information on Study Design, Data, and Methods; (2) Supplemental Findings on Implementation of the Data-Driven Instruction…
Descriptors: Data Use, Instruction, Academic Achievement, Professional Development