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Zachary Weingarten; Amy Peterson; Kyle Allen – National Center on Intensive Intervention, 2023
Readiness for change is an important factor in successful implementation and scale-up of a new practice or program in schools. The process of assessing and developing readiness for change is a key feature of the Exploration Stage, which is the first of four implementation stages identified by the Active Implementation Research Network. Data-based…
Descriptors: Data Use, Intervention, Individualized Instruction, Student Needs
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Christothea Herodotou; Sagun Shrestha; Catherine Comfort; Heshan Andrews; Paul Mulholland; Vaclav Bayer; Claire Maguire; John Lee; Miriam Fernandez – Journal of Learning Analytics, 2025
In this paper, we explore the design of a student-facing dashboard for online and distance learning with a focus on capturing and addressing specific learning needs. A participatory process involving 20 students was employed, which included a screening questionnaire and focus group discussions. The selection of data points to be displayed on the…
Descriptors: Electronic Learning, Distance Education, Student Attitudes, Educational Technology
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M. B. Saikrishna – On the Horizon, 2025
Purpose: The purpose of this paper is to investigate how educators perceive and adapt their roles in the face of changes in technology-driven learning environments. The Gioia methodology explores how educators enable adaptive learning, broaden their pedagogical practice and promote cultural inclusivity to educate diverse students.…
Descriptors: Teacher Attitudes, Educational Technology, Technology Uses in Education, Teacher Role
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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Amelia Parnell – Journal of Postsecondary Student Success, 2022
Data-informed decision-making is no longer an optional or occasional practice, as higher education professionals now routinely respond to calls for accountability by providing data to show how their work impacts students. Institutions are operating with a culture that, at a minimum, includes the use of descriptive and diagnostic analyses to assess…
Descriptors: Student Needs, Data Use, Prediction, Data Analysis
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Melissa A. Gallagher; Jennifer E. Scholla – Mathematics Teacher: Learning and Teaching PK-12, 2025
Adaptive teachers use student data to guide instruction. Learn about using an anecdotal record form to support adaptive teaching. In this article, the authors describe how teachers can use learning trajectories to make adaptive decisions to meet the needs of their students. They provide an example using the U .S. Math Recovery Council's learning…
Descriptors: Mathematics Instruction, Learning Trajectories, Developmentally Appropriate Practices, Student Needs
Zachary Weingarten; Paul K. Steinle – National Center on Intensive Intervention, 2023
Data-based individualization (DBI) is a systematic approach to intensifying and individualizing interventions for students who require more support. Diagnostic data represent the third step in the DBI process. When progress monitoring data indicate that a student is not making adequate progress in an intervention, educators use diagnostic data to…
Descriptors: Data Use, Student Needs, Intervention, Individualized Instruction
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Fazlul, Ishtiaque; Koedel, Cory; Parsons, Eric – Education Next, 2023
Among the 50 states, 44 use free and reduced-price lunch enrollment to identify low-income students. These data are also commonly used to allocate federal, state, and local funding to schools serving low-income children. School and district poverty rates, as determined by free and reduced-price lunch enrollment, additionally feature prominently in…
Descriptors: Lunch Programs, Student Needs, Identification, Poverty
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Vincent Pompei; Alejandro Gonzalez Ojeda – Journal of School Leadership, 2026
The education finance system in California was replaced in 2013 by the Local Control Funding Formula (LCFF). The new formula provides districts with greater flexibility and accountability at the local level in making fiscal decisions. As part of this process, districts must work with stakeholders to develop a Local Control Accountability Plan…
Descriptors: LGBTQ People, Student Needs, School Districts, Accountability
Jessica Arnold; Susan Hayes; Elizabeth Zagata – WestEd, 2025
Despite decades of tenacious advocacy and improvement efforts to expand and enshrine rights for students with disabilities, many students with individualized education programs (IEPs) still lack access to high-quality, effective learning opportunities. This can be due to a range of factors, including low expectations, exclusion from general…
Descriptors: Students with Disabilities, Equal Education, Student Evaluation, Evaluation Methods
Data Quality Campaign, 2022
For decades, schools nationwide have collected household income data to identify those eligible for free and reduced-price lunch programs. State leaders have long used this information as a proxy for student economic disadvantage--yet this data is insufficient to understand and address students' needs. Measures based on FRL data lack critical…
Descriptors: State Policy, Student Needs, Measurement Techniques, Disadvantaged Youth
Shani Sniedze; Marc Kralj – Australian Council for Educational Research, 2025
The ACER Progressive Achievement approach includes PAT assessments that measure what students know, understand, and can do across the domains of Reading, Spelling, Vocabulary, Grammar and Punctuation, Maths, Science, Inquiry and Problem Solving in STEM Contexts, and Critical Reasoning. The results of PAT assessments are available immediately to…
Descriptors: Longitudinal Studies, Case Studies, Data Use, Achievement Tests
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Fatmana Kara Deniz; Kendra Antill; Tracy Griffin Spies – Intervention in School and Clinic, 2026
Multilingual learners who are autistic bring multiple identities to the classroom (e.g., multilingual, disability). These multiple identities contribute to their "funds of knowledge." Teaching to their multiple identities individually and how they interact involves planning and implementing techniques (e.g., asset mapping, surveys) to…
Descriptors: Culturally Relevant Education, Multilingualism, Students with Disabilities, Autism Spectrum Disorders
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Botvin, Maya; Hershkovitz, Arnon; Forkosh-Baruch, Alona – Education and Information Technologies, 2023
Decision-making is key for teaching, with informed decisions promoting students and teachers most effectively. In this study, we explored data-driven decision-making processes of K-12 teachers (N = 302) at times of emergency remote teaching, as experienced during the COVID-19 pandemic outbreak in Israel. Using both quantitative and qualitative…
Descriptors: Foreign Countries, COVID-19, Pandemics, Emergency Programs
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Maria L. Hugh; Kathleen Tuck; Alana Schnitz; Lisa Didion; Andrea Nelson – Journal of Special Education Preparation, 2024
Improving outcomes for young children with high-intensity needs requires a high-quality workforce trained in equitable, intensive, individualized instructional practices and supports incorporating culturally and linguistically responsive evidence-based practices (Gunn, 2020) and developmentally appropriate practices (DAP; NAEYC, 2021) Nationally…
Descriptors: Special Education, Early Childhood Education, Intervention, Preservice Teacher Education
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