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Khajonmote, Withamon; Chinsook, Kittipong; Klintawon, Sununta; Sakulthai, Chaiyan; Leamsakul, Wicha; Jansawang, Natchanok; Jantakoon, Thada – Journal of Education and Learning, 2022
The system architecture of big data in massive open online courses (BD-MOOCs System Architecture) is composed of six components. The first component was comprised of big data tools and technologies such as Hadoop, YARN, HDFS, Spark, Hive, Sqoop, and Flume. The second component was educational data science, which is composed of the following four…
Descriptors: MOOCs, Data Collection, Student Behavior, Computer Software
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
Quin-Anne Hinrichs; Chelsea R. Johnston; Laura Feuerborn; Ashli Tyre – Beyond Behavior, 2025
Implementation of a culturally responsive positive behavioral interventions and supports (PBIS) framework is associated with positive outcomes for secondary students when implemented schoolwide. Yet, educators often report more implementation challenges in secondary school as compared to elementary school settings. Difficulties obtaining student…
Descriptors: Behavior Modification, Positive Behavior Supports, Student Behavior, Behavior Problems
Wilhelmina Van Dijk; Cynthia U. Norris; Stephanie Al Otaiba; Christopher Schatschneider; Sara A. Hart – Grantee Submission, 2022
This manuscript provides information on datasets pertaining to Project KIDS. Datasets include behavioral and achievement data for over 4,000 students between five and twelve years old participating in nine randomized control trials of reading instruction and intervention between 2005-2011, and information on home environments of a subset of 442…
Descriptors: Data, Reading Instruction, Intervention, Family Environment
Robertson, Rachel E.; Coy, Justin N. – TEACHING Exceptional Children, 2019
When student behavior problems persist despite effective classroom management and vary in intensity depending on factors outside of teacher control, teachers are often left feeling discouraged and ineffective (Clunies-Ross, Little, & Kienhuis, 2008). Teachers may know how to handle behavior problems associated with classroom-based antecedents…
Descriptors: Student Behavior, Behavior Problems, Environmental Influences, Intervention
Danible, Kaitlin; Panizza, Chloe; Boushey, Carol; Kerr, Deborah; Zhu, Fengqing; Banna, Jinan C. – Journal of Extension, 2021
The mobile food record™ (mFR™) is a novel app that allows for the tracking of individual food waste and addresses the limitations of current methods to accurately quantify food waste. Extension educators may use data from the mFR™ to create educational initiatives for food waste prevention and education that may be implemented in settings such as…
Descriptors: Food, Measurement, Computer Oriented Programs, Extension Education
Juan D’Brot; W. Chris Brandt – Region 5 Comprehensive Center, 2024
In today's educational landscape, state and local educational agencies (SEAs and LEAs) often experience challenges connecting large-scale accountability data with actual school improvement initiatives. These challenges tend to be rooted in incoherent design and use of data systems for continuous improvement. As we aim to support SEAs in…
Descriptors: Educational Improvement, Data Collection, State Departments of Education, School Districts
Marla J. Lohmann; Samantha Riggleman; Johanna P. Higgins – Early Childhood Education Journal, 2024
Over one-third of preschoolers with disabilities are fully included in the classroom with their typically developing peers and another large percentage receive some instruction in the inclusive classroom. In order to support young children and increase the likelihood of the desired learning and behavior outcomes, teachers must use individual data…
Descriptors: Handheld Devices, Early Childhood Education, Student Behavior, Classroom Environment
Gist, Corinne – TEACHING Exceptional Children, 2019
Deficits in executive functions can lead to many difficulties for students with disabilities. Research has shown a strong correlation between deficits in executive functions and deficits in academic performance and social-emotional functioning. With state testing requirements, response to intervention (RTI), and positive behavior interventions and…
Descriptors: Executive Function, Students with Disabilities, Student Behavior, Behavior Modification
Iovannone, Rose; Fontechia, Krystal M.; Cassell, Elizabeth; Clarke, Shelley – Center on Positive Behavioral Interventions and Supports, 2022
This brief provides considerations for conducting and implementing functional behavior assessments (FBA) and behavior intervention plans (BIPs) using virtual technology. There are many situations in which virtual FBA/BIP implementation may be necessary or desired. For example, virtual FBA/BIPs can support students attending schools in areas that…
Descriptors: Functional Behavioral Assessment, Behavior Modification, Intervention, Educational Technology
Coleman, Stephanie L.; Snyder, Kelly; Skinner, Lacy; Griffin, Jamie – Intervention in School and Clinic, 2020
The Good Behavior Game (GBG) is a well-established intervention for decreasing problem behaviors in the classroom. Although the GBG has a long history of both empirical support and real-world implementation, the specific types of supports teachers find useful in implementing evidence-based interventions is an area that has received increasing…
Descriptors: Behavior Problems, Games, Intervention, Program Implementation
Griffith, Catherine A.; Hirsch, Shanna E.; Burns, Tracy – TEACHING Exceptional Children, 2022
Secondary students with specific learning disabilities (SLD) can often demonstrate skill deficits and problem behaviors in general education classes. Teachers generally understand how to implement intensive interventions, yet may not know how to address skill deficits and off-task behaviors using a function-based approach or may encounter barriers…
Descriptors: Secondary School Students, Students with Disabilities, Learning Disabilities, Functional Behavioral Assessment
Knudson, Joel – California Collaborative on District Reform, 2020
School closures in response to the COVID-19 pandemic have dramatically changed the conditions in which students learn and experience schooling. Disparities in students' access to learning and in their academic outcomes are likely to exacerbate longstanding challenges and inequities. Now more than ever, educators need information that will help…
Descriptors: Data Use, Educational Improvement, Equal Education, Data Collection
Borgmeier, Chris; Loman, Sheldon L.; Strickland-Cohen, M. Kathleen – Beyond Behavior, 2017
Students with persistent challenging behavior are present in nearly every classroom. Teachers need the knowledge and skills to understand student behavior and intervene effectively. This article presents a framework to guide teachers in understanding student behavior and feasible tools for collecting data about the function of student behavior.…
Descriptors: Student Behavior, Behavior Problems, Functional Behavioral Assessment, Data Collection
Office of Educational Technology, US Department of Education, 2024
Digital health, safety, and citizenship skills reflect the full set of knowledge and habits students can adopt to protect themselves and others in online spaces. For schools and districts, protecting student health and safety while those skills develop means taking an approach that can include policies governing the use of school-provided…
Descriptors: LGBTQ People, Minority Group Students, Student Behavior, Safety