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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
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
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
Tucker, William; Long, Don – National Association of State Boards of Education, 2018
With roots in student-centered pedagogies that go back at least to the 1900s, personalized learning meets students' learning goals, needs, context, and pace while incorporating their interests and preferences. Personalized learning in today's classroom depends upon and creates an abundance of rich student data, which simultaneously fosters new…
Descriptors: Data Collection, Data Analysis, Student Records, Individualized Instruction
Decuypere, Mathias – European Educational Research Journal, 2019
Open Education (OE), a generic term for a collection of practices that seek to broaden the access to education through digital means, has gained increasing traction and popularity over the last years and from various corners, both globally and in European circles. Rather than taking the technologies OE makes use of at face value, this article…
Descriptors: Open Education, Access to Education, Online Courses, Electronic Learning
Horn, Michael B.; Fisher, Julia Freeland – Educational Leadership, 2017
The Clayton Christiansen Institute maintains a database of more than 400 schools across the United States that have implemented some form of blended learning, which combines online learning with brick-and-mortar classrooms. Data the Institute has collected over the past six months suggests three trends as this model continues to evolve and mature.…
Descriptors: Blended Learning, Data Collection, Educational Trends, Individualized Instruction
Aguilar, Stephen J. – TechTrends: Linking Research and Practice to Improve Learning, 2018
We are still designing educational experiences for the "average" student, and have room to improve. Learning analytics provides a way forward. This commentary describes how learning analytics-based applications are well positioned to meaningfully personalize the learning experience in diverse ways. In so doing, learning analytics has the…
Descriptors: Instructional Design, Social Justice, Educational Research, Data Collection
Hackmann, Donald G.; Malin, Joel R.; Fuller Hamilton, Asia N.; O'Donnell, Laura – Clearing House: A Journal of Educational Strategies, Issues and Ideas, 2019
Individualized Learning Plans (ILPs), an effective strategy to promote students' college and career readiness, are increasingly used in US school systems as a mechanism to encourage students' career exploration and identification of career goals. After describing features of ILPs, we provide an example of the ILP process developed and implemented…
Descriptors: Individualized Education Programs, Individualized Instruction, Career Readiness, College Readiness
Filderman, Marissa J.; Toste, Jessica R. – TEACHING Exceptional Children, 2018
Reading proficiency is fundamental to school success. However, up to 50% of students with reading disabilities are not making adequate progress. Students who demonstrate persistent and severe reading difficulties require increasingly intensive instruction individualized to meet their instructional needs Individualizing instruction with…
Descriptors: Reading Difficulties, Reading Skills, Individualized Instruction, Decision Making
Jones, Nathan; Vaughn, Sharon; Fuchs, Lynn – EdResearch for Recovery Project, 2020
This brief is one in a series aimed at providing K-12 education decision makers and advocates with an evidence base to ground discussions about how to best serve students during and following the novel coronavirus pandemic. It addresses one central question: How can schools intervene to reduce learning gaps between students with disabilities and…
Descriptors: Elementary Secondary Education, Students with Disabilities, Academic Support Services, COVID-19
Lindström, Esther R.; Gesel, Samantha A.; Lemons, Christopher J. – Intervention in School and Clinic, 2019
Students with severe and persistent academic or behavioral challenges may benefit from data-based individualization (DBI). Starting with an evidence-based standard protocol and systematic progress monitoring, teachers can evaluate growth and implement individualized interventions to meet students' needs. Specifically, this article addresses the…
Descriptors: Students with Disabilities, Behavior Problems, Evidence Based Practice, Student Evaluation
National Forum on Education Statistics, 2019
Educators employ different methods of teaching and learning to help their students succeed. One such method is personalized learning, which aims to tailor instruction to the needs, talents, and skills of each individual learner. Rapid advances in technology platforms and digital content over the last decade have enabled more widespread use of…
Descriptors: Individualized Instruction, Data Use, School Districts, Data Collection
Pierce, Jennifer; Jackson, Dia – Education Policy Center at American Institutes for Research, 2017
P.S. 52 Sheepshead Bay School in Brooklyn, New York, serves more than 850 students from pre-kindergarten to fifth grade from diverse socioeconomic backgrounds. After scores on the 2014 New York State English language arts assessment were unsatisfactory, first-year principal Rafael Alvarez searched for a way to improve academic outcomes for his…
Descriptors: Response to Intervention, Elementary School Students, Public Schools, Program Effectiveness
Baker, Ryan; Twyman, Janet S. – Center on Innovations in Learning, Temple University, 2016
This field report is the ninth in a series produced by the Center on Innovations in Learning's League of Innovators. The series describes, discusses, and analyzes policies and practices that enable personalization in education. This report introduces sessions from the "Conversations with Innovators" event held at Temple University, June…
Descriptors: Information Technology, Technology Uses in Education, Technology Integration, Educational Improvement
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