Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 8 |
| Since 2017 (last 10 years) | 20 |
| Since 2007 (last 20 years) | 21 |
Descriptor
Source
Author
| Peterson, Amy | 2 |
| Sarah R. Powell | 2 |
| Zachary Weingarten | 2 |
| Amy Peterson | 1 |
| Arden, Sarah | 1 |
| Bailey, Tessie Rose | 1 |
| Bingham, Andrea J. | 1 |
| Danielson, Louis | 1 |
| Day, Jamie | 1 |
| Erica S. Lembke | 1 |
| Evmenova, Anya S. | 1 |
| More ▼ | |
Publication Type
| Reports - Descriptive | 21 |
| Journal Articles | 7 |
| Guides - Classroom - Teacher | 4 |
| Books | 1 |
| Guides - Non-Classroom | 1 |
| Numerical/Quantitative Data | 1 |
| Tests/Questionnaires | 1 |
Education Level
Audience
| Teachers | 4 |
| Administrators | 1 |
Location
| Rhode Island | 2 |
| Vermont | 2 |
| Colorado | 1 |
| Connecticut | 1 |
| Florida | 1 |
| Idaho | 1 |
| Kansas | 1 |
| Montana | 1 |
| Nebraska | 1 |
| Ohio | 1 |
| Pennsylvania | 1 |
| More ▼ | |
Laws, Policies, & Programs
| Individuals with Disabilities… | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards with or without Reservations | 1 |
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
Soyoung Park; Pamela M. Stecker; Sarah R. Powell – Intervention in School and Clinic, 2024
This article provides teachers with a toolkit for assessing students in the context of data-based individualization (DBI) in mathematics. Assessing students is a critical component of DBI because it provides teachers with information about what they may need to modify in their instructional programs. In this article, we provide teachers with…
Descriptors: Student Evaluation, Individualized Instruction, Mathematics Instruction, Progress Monitoring
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
Education Resource Strategies, 2024
Research has shown that ninth grade is uniquely important for student success, yet despite increased investments, leaders aren't always equipped to meet ninth graders' distinct needs. The transition from middle to high school is both critical and complex, as students encounter significant changes during this time, including taking on more advanced…
Descriptors: Grade 9, High School Students, High School Teachers, Student Experience
Sarah R. Powell; Samantha E. Bos; Sarah G. King; Leanne Ketterlin-Geller; Erica S. Lembke – TEACHING Exceptional Children, 2024
Data-based individualization (DBI) is a framework that allows educators to make timely and informed decisions about student progress in academics or behavior. In this article, we focus on the DBI framework as applied to math intervention within a tiered support model for students experiencing math difficulty. We review how DBI starts with an…
Descriptors: Middle School Mathematics, Middle School Students, Middle School Teachers, Mathematics Instruction
Regan, Kelley; Evmenova, Anya S.; Hutchison, Amy; Day, Jamie; Stephens, Madelyn; Verbiest, Courtney; Gafurov, Boris – TEACHING Exceptional Children, 2022
The process of analyzing student data to determine an appropriate instructional decision is crucial for student academic growth. This article details how teachers can make data-driven decisions to carefully design writing instruction. Steps are presented for teachers to follow throughout the data driven decision-making process in order to meet…
Descriptors: Writing Instruction, Decision Making, Essays, Data Analysis
Early Learning Network - University of Nebraska-Lincoln, 2023
One of the most exciting products generated and refined through the Early Learning Network studies is a web-based classroom assessment tool known as OLOS -- the Optimizing Learning Opportunities for Students Observation System. The OLOS tool focuses on improving student outcomes by providing teachers with real-time data to support individualized…
Descriptors: Early Childhood Education, Individualized Instruction, Student Evaluation, Data Use
Kettler, Todd; Taliaferro, Cheryl – Prufrock Press, 2022
Gifted students can exhibit extreme variance in both their abilities and their interests, yet they are often treated within schools as one homogeneous, specialized population. "Personalized Learning in Gifted Education" helps educators strengthen their differentiation of both instruction and services for advanced students. This book: (1)…
Descriptors: Individualized Instruction, Gifted Education, Academically Gifted, Data Use
Marx, Teri; Peterson, Amy; Arden, Sarah – National Center on Intensive Intervention, 2020
During spring 2020, educators quickly adapted to providing interventions and collecting data virtually despite the challenges of the COVID-19 pandemic. Parents were critical partners in supporting opportunities for students with intensive needs to data-based individualization (DBI) Process practice and receive feedback and sharing what was working…
Descriptors: COVID-19, Pandemics, Individualized Instruction, Data Use
Weingarten, Zachary; Bailey, Tessie Rose; Peterson, Amy – National Center on Intensive Intervention, 2019
If you are like most educators, you agree with the idea of providing intensive intervention for students with the most intractable academic and behavior problems. The question you may be asking is, how do I find the time? Intensive intervention requires time for planning and delivering individualized instruction, as well as time for collecting and…
Descriptors: Intervention, Scheduling, Individualized Instruction, Data Use
Bingham, Andrea J. – Kappa Delta Pi Record, 2019
In this case study, learn how creation and use of modules, mastery-based grading, immediate feedback and consistent data use, and the reimagining of the school schedule allowed teachers to engage in personalization of the curriculum.
Descriptors: Individualized Instruction, Mastery Learning, Grading, Feedback (Response)
Spangler, Donna – Learning Professional, 2019
Microcredentials create opportunities for continuing growth of all teachers based on specific needs. They provide ways for teachers to lead their own learning while allowing administrators to identify and address teachers' needs as well as the expertise teachers have to share with their colleagues. Microcredentials are different from traditional…
Descriptors: Credentials, Faculty Development, Competency Based Education, Communities of Practice
Nebraska Department of Education, 2019
The practice guide, "Assisting Students Struggling with Reading: Response to Intervention (RtI) and Multi-Tier Intervention in the Primary Grades," offers five specific recommendations to help educators identify struggling readers and implement evidence-based strategies to promote their reading achievement. This brief summary report…
Descriptors: Reading Difficulties, Elementary School Students, Reading Instruction, Individualized Instruction
Leytham, Patrick A.; Nguyen, Nghia; Rago, David – TEACHING Exceptional Children, 2021
The purpose of this article is to assist general and special educators in identifying and implementing effective academic programming in the general education environment for students with autism spectrum disorder (ASD). Throughout this article, the authors attempt to demonstrate how students with ASD can successfully receive instruction in a…
Descriptors: Students with Disabilities, Elementary School Students, Children, Autism
Vincent-Lancrin, Stéphan; van der Vlies, Reyer – OECD Publishing, 2020
This paper was written to support the G20 artificial intelligence (AI) dialogue. With the rise of artificial intelligence (AI), education faces two challenges: reaping the benefits of AI to improve education processes, both in the classroom and at the system level; and preparing students for new skillsets for increasingly automated economies and…
Descriptors: Artificial Intelligence, Educational Change, Technology Uses in Education, Influence of Technology
Previous Page | Next Page »
Pages: 1 | 2
Peer reviewed
Direct link
