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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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Kathleen Lynne Lane; Katie Scarlett Lane Pelton; Nathan Allen Lane; Wendy Peia Oakes; Mark Matthew Buckman; Kandace Fleming; Rebecca E. Swinburne Romine; Emily D. Cantwell – Behavioral Disorders, 2025
We report results from this psychometric study examining convergent validity between internalizing subscale (SRSS-I4) scores from the revised version of the teacher-completed Student Risk Screening Scale for Internalizing and Externalizing behavior (SRSS-IE 9) and the internalizing subscale from the Teacher Report Form (TRF). Using the sample of…
Descriptors: Screening Tests, Cutting Scores, Data Use, Decision Making
National Forum on Education Statistics, 2025
This Forum Guide, developed by the National Forum on Education Statistics, provides best practices for collecting, managing, and using educator workforce data. It offers education agencies practical guidance on building high-quality data systems that inform teacher recruitment, retention, and professional development efforts.
Descriptors: College Readiness, Career Readiness, Data Collection, Data Use
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David E. DeMatthews; Jinseok Shin – National Education Policy Center, 2025
Since most U.S. states rely heavily on per-pupil funding models, projected decreases in school-aged children through 2030 and rapidly expanding private school voucher policies have raised concerns about potentially inadequate public school funding. A recent EdChoice report suggests that such underfunding concerns are overstated. Its rationale is…
Descriptors: Declining Enrollment, Enrollment Trends, Educational Finance, School Districts
SWIFT Education Center, 2025
The National Center on Inclusion Toward Rightful Presence sought out schools that provide effective support in general education curriculum and settings for students who benefit from intensive instruction and support. The Center used knowledge learned from these sites to develop and inform its model for advancing rightful presence in schools,…
Descriptors: Charter Schools, Stakeholders, Focus Groups, Educational Attitudes
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Md. Juwel Ahmed Sarker; Josh B. Mcgee – Society for Research on Educational Effectiveness, 2025
Background: Recent debate surrounding school finance in the U.S. revolves around adequacy principles, defined as spending required to achieve the common goal of national average math and reading scores. Some experts argue that funding disadvantaged schools in many U.S. states is inadequate to meet the national common goals. For instance, analyzing…
Descriptors: School Districts, Data Use, Predictor Variables, Outcomes of Education
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Yang, Tzu-Chi; Chang, Chung-Yuan – Education and Information Technologies, 2023
Enabling college graduates to achieve career success is increasingly considered a major responsibility of universities. Many studies have developed models of predicting students' career decisions and have sought to provide appropriate treatments or early support for students to achieve this goal. Most studies, however, have focused on using…
Descriptors: Data Use, Decision Making, Computer Mediated Communication, Social Media
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Oliveira, Alandeon W.; Wang, Junhong; Perno, Crystal; Brotzge, Jerald; Verma, Amita – Journal of Science Education and Technology, 2023
This theoretical article proposes using statewide weather-observing networks (Mesonets) to support data-intensive, issue-based teaching of atmospheric topics in middle and high school science. It is argued that the incorporation of this new technology and its affordances into the school curriculum can drastically change the ways that atmospheric…
Descriptors: Weather, Science Curriculum, Inquiry, Active Learning
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Bowers, Alex J.; Choi, Yeonsoo – Educational Researcher, 2023
Despite increasing calls to build equitable data infrastructures, the education field has yet to have a shared guideline around equitable education data management and stewardship. To address this gap, we propose one framework from the data governance literature: the FAIR (Findable, Accessible, Interoperable, Reusable) data management principles…
Descriptors: Data, Governance, Information Management, Guidelines
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Zare, Javad; Aqajani Delavar, Khadijeh – Applied Linguistics, 2023
Using concordancers in English classes is demanding, time-consuming, and challenging to both teachers and learners. On the other hand, research points to the effectiveness of data-driven learning (DDL) in improving second/foreign language learning. The present study proposed a new task type, that is, DDL focus on form (FonF) tasks, as a…
Descriptors: Data Use, English (Second Language), Comprehension, Learning Strategies
Schoepp, Rosemarie – ProQuest LLC, 2023
Data-driven decision making (DDDM) is an important teaching practice that can positively influence student achievement by using assessment data to make instructional decisions. The problem is that teachers do not always use this practice. Teachers' perspectives of DDDM can influence their data use practices. This basic qualitative study was…
Descriptors: Teacher Attitudes, Data Use, Instructional Design, Decision Making
Complete College America, 2023
In this position paper, the authors lay out the imperative for equitable artificial intelligence (AI), highlighting the essential role of access-oriented institutions and calling on technology companies (both large and small), foundations, and local, state, and federal regulators to consult with the newly convened Complete College America Council…
Descriptors: Artificial Intelligence, Computer Uses in Education, Higher Education, Graduation
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Zamecnik, Andrew; Kovanovíc, Vitomir; Joksimovíc, Srécko; Grossmann, Georg; Ladjal, Djazia; Marshall, Ruth; Pardo, Abelardo – Journal of Computer Assisted Learning, 2023
Background: Maintaining cohesion is critical for teams to achieve shared goals and performance outcomes within a work-integrated learning (WIL) environment. Cohesion is an emergent state that develops over time, representing the synchrony of different behavioural interactions. Cohesive teams will exhibit such phenomena by their temporal…
Descriptors: Data Use, Group Dynamics, College Students, Cooperative Learning
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