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Kathleen Lynne Lane; Katie Scarlett Lane Pelton; Nathan Allen Lane; Mark Matthew Buckman; Wendy Peia Oakes; Kandace Fleming; Rebecca E. Swinburne Romine; Emily D. Cantwell – Behavioral Disorders, 2025
We report findings of this replication study, examining the internalizing subscale (SRSS-I4) of the revised version of the Student Risk Screening Scale for Internalizing and Externalizing behavior (SRSS-IE 9) and the internalizing subscale of the Teacher Report Form (TRF). Using the sample from 13 elementary schools across three U.S. states with…
Descriptors: Data Analysis, Decision Making, Data Use, Measures (Individuals)
Takashi Kawakami; Akihiko Saeki – Mathematics Education Research Group of Australasia, 2024
This study elaborates on the pivotal roles of mathematical and statistical models in data-driven predictions in an integrated STEM context using the case of Year 4 students: (?) "a descriptive means" to describe the features of trends and variability of data and (?) "an explanatory means" to explain causal relationships behind…
Descriptors: Mathematical Models, Statistical Analysis, Data Use, Prediction
Georgina K. Wort; Gareth Wiltshire; Simon Sebire; Oliver Peacock; Dylan Thompson – Journal of School Health, 2024
Background: Wearable technologies offer new opportunities to address in-school physical inactivity. However, children are often excluded from discussing issues which directly impact them, including the use of wearable technologies in a school setting. Thus, the aim of this study is to understand primary school pupils' experiences and perceptions…
Descriptors: Elementary School Students, Student Attitudes, Handheld Devices, Technology
Michelle C. Santiago – ProQuest LLC, 2024
Current literature exists centered on Multi-Tiered Systems of Support (MTSS) framework, its components, and ways in which MTSS is intended to support all students. Yet, there is a gap in the literature that examines how elementary schools are implementing it. This dissertation study sought to understand what the MTSS framework implementation at…
Descriptors: Multi Tiered Systems of Support, Program Implementation, Elementary Schools, Reading Instruction
Yue Zhang; Max Stephens; Xiaomei Liu – Asia-Pacific Journal of Teacher Education, 2024
The study aimed to establish an assessment model for mathematics teachers' knowledge of students' misconceptions in the "Space and Shape" domain, develop the testing tool, investigate and analyse the overall and differences in performance, and propose suggestions for improvement. The assessment model included content knowledge and…
Descriptors: Foreign Countries, Elementary School Teachers, Mathematics Teachers, Knowledge Level
Robin S. Codding; Amanda VanDerHeyden; Reina Chehayeb – Remedial and Special Education, 2024
This study extends prior research by manipulating both intervention and skill difficulty using a multiple baseline across participants design with changing phases in a virtual tutoring environment. Participants were four U.S. students from third and fifth grades for whom appropriate and challenging instructional targets were selected following…
Descriptors: Mathematics Instruction, Data Use, Teaching Methods, Intervention
Kathleen Lynne Lane; Nathan Allen Lane; Mark Matthew Buckman; Katie Scarlett Lane Pelton; Kandace Fleming; Rebecca E. Swinburne Romine – Behavioral Disorders, 2025
We report the results of a convergent validity study examining the externalizing subscale (SRSS-E5, five items) of the adapted Student Risk Screening Scale for Internalizing and Externalizing (SRSS-IE 9) with the externalizing subscale of the Teacher Report Form (TRF) with two samples of K-12 students. Results of logistic regression and receiver…
Descriptors: Data Analysis, Decision Making, Data Use, Test Validity
Zeynab (Artemis) Mohseni; Italo Masiello; Rafael M. Martins – Education and Information Technologies, 2024
There is a significant amount of data available about students and their learning activities in many educational systems today. However, these datasets are frequently spread across several different digital services, making it challenging to use them strategically. In addition, there are no established standards for collecting, processing,…
Descriptors: Elementary School Students, Data, Individual Development, Learning Trajectories
Julie Esparza Brown; Amanda K. Sanford; Donna Sacco – National Center on Intensive Intervention, 2024
This brief highlights how to use culturally and linguistically aligned (CLA) strategies to support multilingual learners within an multi-tiered system of supports (MTSS) framework including how to use a CLA lens to inform instructional adaptations for multilingual learners who require intensive intervention. The brief reviews the use of the CLA…
Descriptors: Multi Tiered Systems of Support, Culturally Relevant Education, Language Usage, Multilingualism
Emma Shanahan; Seohyeon Choi; Jechun An; Bess Casey-Wilke; Seyma Birinci; Caroline Roberts; Emily Reno – Grantee Submission, 2025
Although data-based individualization (DBI) has positive effects on learning outcomes for students with learning difficulties, this framework can be difficult for teachers to implement due to its complexity and contextual barriers. The first aim of this synthesis was to investigate the effects of ongoing professional development (PD) support for…
Descriptors: Data Use, Individualized Instruction, Learning Problems, Students with Disabilities
Emma Shanahan; Seohyeon Choi; Jechun An; Bess Casey-Wilke; Seyma Birinci; Caroline Roberts; Emily Reno – Journal of Learning Disabilities, 2025
Although data-based individualization (DBI) has positive effects on learning outcomes for students with learning difficulties, this framework can be difficult for teachers to implement due to its complexity and contextual barriers. The first aim of this synthesis was to investigate the effects of ongoing professional development (PD) support for…
Descriptors: Data Use, Individualized Instruction, Learning Problems, Students with Disabilities