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Kristen L. McMaster; Erica S. Lembke; Emma Shanahan; Seohyeon Choi; Jechun An; Christopher Schatschneider; McKinzie D. Duesenberg-Marshall; Seyma Birinci; Elizabeth McCollom; Carol Garman; Kim Moore – Journal of Learning Disabilities, 2025
In a multiyear, multisite, randomized control trial, we examined the effects of comprehensive professional development designed to support teachers' data-based instruction (DBI) for students with intensive early writing needs. Teachers (N = 154; primarily special educators or intervention specialists) were assigned randomly to a treatment group (n…
Descriptors: Data Use, Individualized Instruction, Writing Instruction, Special Needs Students
Rachel Schechter; Colin Ackerman; Krystina Raymond – Online Submission, 2025
Many educators struggle to deliver effective early literacy instruction that is both research-based and responsive to diverse learning needs. IMSE's Orton-Gillingham Plus (OG+) addresses this gap by providing a Structured Literacy program grounded in explicit, systematic, and cumulative instruction. Designed for K-2 foundational literacy and…
Descriptors: Literacy Education, Phonics, Feedback (Response), Direct Instruction
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
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
Hailey Hinkle – ProQuest LLC, 2020
Response to intervention, direct instruction, and data-based decision-making are all effective teaching practices that can impact student math performance. When educational technology is implemented in classroom settings, it can address both the needs of teachers and students. However, there is little information detailing how educational…
Descriptors: Data Use, Decision Making, Individualized Instruction, Mathematics Instruction
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
Peters, Martin T.; Förster, Natalie; Hebbecker, Karin; Forthmann, Boris; Souvignier, Elmar – Journal of Learning Disabilities, 2021
In most general education classrooms in Germany, students with and without special educational needs are taught together. To support teachers in adapting instruction to these heterogeneous classrooms, we have developed learning progress assessment (LPA) and reading instructional materials, the "Reading Sportsman" (RS), in line with the…
Descriptors: Data Use, Decision Making, Reading Fluency, Reading Comprehension
Danielle Christine Wysenski – ProQuest LLC, 2021
English learners (ELs) make up a significant portion of the nation's K-12 student population who come from culturally and linguistically diverse backgrounds. ELs bring a wealth of diversity to the United States' education system; however, teachers' limited knowledge and practices that integrate ELs' cultural, linguistic, and prior educational…
Descriptors: Electronic Learning, Faculty Development, Reading Instruction, English Learners
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
Spina, Nerida – Cambridge Journal of Education, 2019
In an era when evidence-informed decision-making is mooted as a means of achieving equity, data are now being used to revive the in-school stratification of students, despite sustained concerns around the long-term negative consequences of these practices. This institutional ethnography explores how teachers use data in their everyday work, and…
Descriptors: Ability Grouping, Individualized Instruction, Evidence Based Practice, Decision Making
Amro, Falah; Borup, Jered – Journal of Online Learning Research, 2019
Schools are increasingly adopting adaptive learning software to better customize instruction to students' personal needs. While personalized software is not designed to replace the teacher, it does change teachers' roles and responsibilities. However, research is lacking that examines how teachers implement the software and use the provided data…
Descriptors: Blended Learning, Teacher Role, Barriers, Computer Software
Lembke, Erica S.; McMaster, Kristen L.; Smith, R. Alex; Allen, Abigail; Brandes, Dana; Wagner, Kyle – Grantee Submission, 2018
Few teachers receive adequate preparation to provide effective individualized instruction for children with intensive early writing needs. In this article, the authors describe an attempt to close this learning gap, by developing Data-Based Instruction-Tools, Learning, and Collaborative Support (DBI-TLC), a comprehensive professional development…
Descriptors: Faculty Development, Individualized Instruction, Writing Instruction, Data Use
Van Lare, Michelle D. – Journal of School Leadership, 2016
Ever-growing expectations exist for educators to use assessments to collect, analyze, and interpret data, but how, if at all, are these processes affecting instruction? This descriptive case study of one team of second grade teachers offers an analysis of the links between teachers' use of data within their collaborative team meetings and…
Descriptors: Data Collection, Data Use, Teaching Methods, Grade 2
Pane, John F.; Steiner, Elizabeth D.; Baird, Matthew D.; Hamilton, Laura S.; Pane, Joseph D. – RAND Corporation, 2017
The basic concept of personalized learning (PL) -- instruction that is focused on meeting students' individual learning needs while incorporating their interests and preferences -- has been a longstanding practice in U.S. K-12 education. Options for personalization have increased as personal computing devices have become increasingly affordable…
Descriptors: Individualized Instruction, Program Implementation, Program Effectiveness, Competency Based Education
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