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Marissa J. Filderman; Christy R. Austin – Beyond Behavior, 2024
Students with and at risk for emotional and behavioral disorders (EBD) struggle to acquire and develop writing skills. To support their students' unique needs, it is important for teachers to monitor student writing progress to make instructional decisions based on data. In this article we describe methods for progress monitoring focused on…
Descriptors: Emotional Disturbances, Behavior Disorders, At Risk Students, Writing Skills
Cynthia C. Massey; Emily M. Kuntz; Corey Peltier; Mary A. Barczak; H. Michael Crowson – International Journal for Research in Learning Disabilities, 2024
Enhancing special educators' data literacy is critical to informing instructional decision-making, especially for students with learning disabilities. One tool special educators commonly use is curriculum-based measurement (CBM). These data are displayed on time-series graphs, and student responsiveness is evaluated. Graph construction varies and…
Descriptors: Special Education Teachers, Preservice Teachers, Progress Monitoring, Information Literacy
Ethan R. Van Norman; Emily R. Forcht – Assessment for Effective Intervention, 2024
Curriculum-based measurement of reading (CBM-R) is a common assessment educators use to monitor student growth in broad reading skills and evaluate the effectiveness of instructional programs. Computer-adaptive tests (CATs), such as Star Reading, have been cited as a viable option to formatively assess reading growth. We used Bayesian…
Descriptors: Reading Improvement, Reading Skills, Reading Achievement, Curriculum Based Assessment
Seohyeon Choi; Kristen L. McMaster; Nidhi Kohli; Emma Shanahan; Seyma Birinci; Jechun An; McKinzie Duesenberg-Marshall; Erica S. Lembke – Grantee Submission, 2024
For students with intensive learning needs for whom standard, validated interventions do not effectively promote academic growth, data-based instruction (DBI) is suggested as an effective, fine-grained approach to individualization. Key to DBI's success is making instructional changes based on individual students' progress monitoring data. The…
Descriptors: Individualized Instruction, Writing Difficulties, Special Needs Students, Elementary School Students
Seohyeon Choi; Kristen L. McMaster; Nidhi Kohli; Emma Shanahan; Seyma Birinci; Jechun An; McKinzie Duesenberg-Marshall; Erica S. Lembke – Journal of Educational Psychology, 2024
For students with intensive learning needs for whom standard, validated interventions do not effectively promote academic growth, data-based instruction (DBI) is suggested as an effective, fine-grained approach to individualization. Key to DBI's success is making instructional changes based on individual students' progress monitoring data. The…
Descriptors: Individualized Instruction, Writing Difficulties, Special Needs Students, Elementary School Students
E. Snyder; S. E. Witmer – Preventing School Failure, 2025
Effective inclusion of English Learners (ELs) in multi-tiered systems of support (MTSS) is necessary for this growing subset of students to access the intended outcomes of MTSS, specifically improved academic outcomes. Facilitating MTSS systems that are appropriately responsive to the heterogeneous needs of ELs may be particularly challenging. In…
Descriptors: English Language Learners, Multi Tiered Systems of Support, Reading Instruction, Elementary School Teachers
K. M. Rosheim; K. G. Tamte; M. J. Froemming – Reading Psychology, 2024
This 2-year exploratory study of Multilingual Learner's performance on literacy assessments is grounded in Culturally Responsive Teaching. By examining the protocols for universal screeners and progress monitoring at one midwestern elementary school, teachers and researchers learned more about language vs. literacy-related results and discovered…
Descriptors: Multilingualism, Bilingual Students, Student Evaluation, Culturally Relevant Education
Ethan R. Van Norman; David A. Klingbeil; Kristen Truman; Peter M. Nelson; David C. Parker – Grantee Submission, 2024
The transition from sounding out unfamiliar words to effortlessly reading connected text does not occur all at once nor at the same rate for students. The purpose of this study was to explore the accuracy of three decision rules (data point, median, and trend line) applied to progress monitoring outcomes of alphabetic principle (nonsense word…
Descriptors: Progress Monitoring, Outcomes of Education, Reading Rate, Word Recognition
Ethan R. Van Norman; David A. Klingbeil; Kirsten Truman; Peter M. Nelson; David C. Parker – Remedial and Special Education, 2024
The transition from sounding out unfamiliar words to effortlessly reading connected text does not occur all at once or at the same rate for students. The purpose of this study was to explore the accuracy of three decision rules (data point, median, and trend line) applied to progress monitoring outcomes of alphabetic principle (nonsense word…
Descriptors: Progress Monitoring, Outcomes of Education, Reading Rate, Word Recognition