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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)
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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
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Jelena Andelkovic Labrovic; Nikola Petrovic; Jelena Andelkovic; Marija Meršnik – Journal of Computing in Higher Education, 2025
The focus of this study was on identifying patterns of student behavior to support data-informed decision-making which would then improve the learning experience and learning outcomes of online English language courses. Learning analytics approach (or more specifically cluster analysis) was used to identify engagement patterns in online learning.…
Descriptors: Electronic Learning, Online Courses, Behavior Patterns, Student Behavior
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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
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Claire E. Hughes – Gifted Child Today, 2025
Multi-Tiered System of Supports (MTSS) is a useful framework designed to address diverse needs of students and has great potential for twice-exceptional (2e) students, or gifted students with disabilities. By integrating academic, behavioral, social-emotional, and collaborative components, MTSS provides targeted interventions through its tiered…
Descriptors: Multi Tiered Systems of Support, Twice Exceptional, Students with Disabilities, Academically Gifted
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Belmonte-Mulhall, Colleen P.; Harrison, Judith R. – Journal of Applied School Psychology, 2023
Students with or at-risk of High Incidence Disabilities (HID) experience negative short and long-term outcomes. To intervene, many schools have elected to implement evidence-based practices within Multi-Tiered Systems of Support (MTSS), such as Response to Intervention (RTI). MTSS target the academic and behavioral progress of students deemed 'at…
Descriptors: Multi Tiered Systems of Support, Students with Disabilities, Student Behavior, Data Interpretation
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Brann, Kristy L.; Naser, Shereen C.; Clough, Mac – Journal of Educational and Psychological Consultation, 2023
The current study describes the process of a participatory consultation framework, the Participatory Culture Specific Intervention Model (PCSIM), to plan and implement a data-based decision-making framework. The framework integrates proactive and systematic identification of emotional and behavioral needs as well as cognitive psychology techniques…
Descriptors: Consultation Programs, Data Use, Decision Making, Intervention
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C. Roch Turner, Editor – IGI Global, 2024
In the aftermath of the COVID-19 upheaval, special education professionals grapple with a seismic surge in student behavioral issues. The challenges are formidable, and the interventions available often fall short of making a meaningful impact. "Best Practices for Behavior Intervention in Special Education" steps in to assist the urgent…
Descriptors: Student Behavior, Intervention, Special Education, Best Practices
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Greenwood, Charles R.; Carta, Judith J.; Irvin, Dwight W.; Schnitz, Alana G. – Topics in Early Childhood Special Education, 2021
Children's engagement is an important construct often reported in early intervention and early childhood special education. However, its utility depends on its definition, measurement, theory of change, and empirical evidence. Our purpose is to discuss innovations in children's literacy engagement (CLE) and report empirical evidence demonstrating…
Descriptors: Learner Engagement, Emergent Literacy, Preschool Children, Preschool Education
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Woolverton, Genevieve Alice; Pollastri, Alisha R. – Educational Measurement: Issues and Practice, 2021
Within classrooms, psychologists and teachers use direct behavior observation methods, systematic behavior observations (SBOs) and direct behavior ratings (DBRs), to gather information about students' behaviors for the purposes of making decisions related to diagnosis and classroom management or behavioral feedback respectively. Observers use SBOs…
Descriptors: Student Behavior, Classroom Observation Techniques, Behavior Rating Scales, Behavior Patterns
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Ninasivincha-Apfata, Jhon Edwar; Quispe-Figueroa, Ricardo Carlos; Valderrama-Solis, Manuel Alejandro; Maraza-Quispe, Benjamin – World Journal on Educational Technology: Current Issues, 2021
The objective of the research is to develop a methodology to analyse a set of data extracted from a learning management system, in order to implement a dashboard, which can be used by teachers to make timely and relevant decisions to improve the teaching-learning processes. The methodology used consisted of analysing 9,257 records extracted…
Descriptors: Learning Analytics, Integrated Learning Systems, Visual Aids, Technology Uses in Education
Eryn Y. Van Acker – ProQuest LLC, 2020
Restraint and seclusion are two crisis intervention practices that educators employ to manage students who display escalated behavior. These procedures, however, are high-risk, intensive practices that have resulted in psychological trauma, physical injury, and even death. While there are no federal laws in place on this topic, the U.S. Department…
Descriptors: Data Use, Decision Making, Intervention, Student Behavior
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Orchard, Ryan K. – Journal of Educational Technology Systems, 2019
Learning management systems (LMS) allow for a variety of ways in which online multiple-choice assessments ("tests") can be configured, including the ability to allow for multiple attempts and options for which of and how the attempts will count. These options are usually chosen according to the instinct of the instructor; however, LMS…
Descriptors: Integrated Learning Systems, Data Use, Electronic Learning, Assignments
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Foster, Elizabeth – Learning Professional, 2019
A recent qualitative study by a team of researchers looked into how grade-level teams of teachers are thinking about causes and strategies based on looking at student performance data. What is interesting in these findings is how infrequently teachers attribute student results to instruction -- just 15% of the time. Teachers in this study were…
Descriptors: Teacher Attitudes, Academic Achievement, Teacher Student Relationship, Data Use
Flannery, K. Brigid; Kato, Mimi McGrath; Horner, Robert H. – Technical Assistance Center on Positive Behavioral Interventions and Supports, 2019
Using data for decision-making is critical for schoolwide leadership teams and has been shown to enhance both social and academic outcomes for students (Faria et al., 2017). Using data effectively, however, requires that teams have a clear vision about the type of data, format of data presentation, and process for using data. To avoid expending…
Descriptors: High School Students, Data Use, Outcomes of Education, Positive Behavior Supports
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