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Dart, Evan H.; Van Norman, Ethan R.; Klingbeil, David A.; Radley, Keith C. – Journal of Behavioral Education, 2023
Curriculum-based measurement (CBM) represents a critical strategy for data-based decisionmaking within educational settings. Visual analysis is frequently used to analyze CBM data; thus, CBM vendors often automatically generate graphs based on student data to facilitate analysis. Differences in graph formatting are apparent across CBM vendors, and…
Descriptors: Graphs, Visual Aids, Curriculum Based Assessment, Vendors
Marah Sutherland; Cayla Lussier; Gena Nelson; Marissa Pilger Suhr; Janice Fong; Jessica Turtura; Ben Clarke – Exceptional Children, 2024
The purpose of this quantitative systematic literature review was to identify and describe published mathematics studies from 1980 to 2021 that incorporated a self-monitoring component (k = 22 studies; N = 1,787 students). We examined specific self-monitoring procedures, instructional contexts, implementation variables, and methodological quality.…
Descriptors: Self Management, Mathematics Instruction, Intervention, Elementary Secondary Education
Aoife L. Gallagher; Rachel Murphy; Ciara Ni Eochaidh; Johanna Fitzgerald; Carol-Anne Murphy; James Law – Language, Speech, and Hearing Services in Schools, 2023
Purpose: The aim of this study was to map the use of implementation science frameworks, models, and theories in intervention research targeting learning needs in the classroom. Method: A scoping review was conducted. Electronic database and manual searches were conducted. Two reviewers independently completed screening, data extraction, and…
Descriptors: Program Implementation, Intervention, Educational Research, Speech Language Pathology
Heilmann, John; Miller, Jon F. – Perspectives of the ASHA Special Interest Groups, 2023
Purpose: In the early 1980s, researchers and speech-language pathologists (SLPs) collaborated to develop the Systematic Analysis of Language Transcripts (SALT). Research and development over the ensuing decades has culminated into SALT Solutions, a set of tools to assist SLPs to efficiently complete language sample analysis (LSA) with their…
Descriptors: Sampling, Language Usage, Data Analysis, Data Collection
Nejstgaard, Camilla Hansen; Lundh, Andreas; Abdi, Suhayb; Clayton, Gemma; Gelle, Mustafe Hassan Adan; Laursen, David Ruben Teindl; Olorisade, Babatunde Kazeem; Savovic, Jelena; Hróbjartsson, Asbjørn – Research Synthesis Methods, 2022
Randomised trials are often funded by commercial companies and methodological studies support a widely held suspicion that commercial funding may influence trial results and conclusions. However, these studies often have a risk of confounding and reporting bias. The risk of confounding is markedly reduced in meta-epidemiological studies that…
Descriptors: Medical Research, Randomized Controlled Trials, Corporations, Financial Support
Kayleigh K. Hyde; Marlena N. Novack; Nicholas LaHaye; Chelsea Parlett-Pelleriti; Raymond Anden; Dennis R. Dixon; Erik Linstead – Review Journal of Autism and Developmental Disorders, 2019
Autism spectrum disorder (ASD) research has yet to leverage "big data" on the same scale as other fields; however, advancements in easy, affordable data collection and analysis may soon make this a reality. Indeed, there has been a notable increase in research literature evaluating the effectiveness of machine learning for diagnosing…
Descriptors: Artificial Intelligence, Autism Spectrum Disorders, Clinical Diagnosis, Intervention
Pinar Aksoy; Frank M. Gresham – International Journal of Psychology and Educational Studies, 2024
The preschool years, spanning from birth to age six, are crucial periods for acquiring social-emotional learning (SEL) skills. An effective way to address social-emotional learning deficits is to implement evidence-based intervention programs. The purpose of this article is to review specific evidencebased social-emotional learning intervention…
Descriptors: Social Emotional Learning, Evidence Based Practice, Preschool Children, Intervention
Cardona, Tatiana; Cudney, Elizabeth A.; Hoerl, Roger; Snyder, Jennifer – Journal of College Student Retention: Research, Theory & Practice, 2023
This study presents a systematic review of the literature on the predicting student retention in higher education through machine learning algorithms based on measures such as dropout risk, attrition risk, and completion risk. A systematic review methodology was employed comprised of review protocol, requirements for study selection, and analysis…
Descriptors: Learning Analytics, Data Analysis, Prediction, Higher Education
Hott, Brittany; Berkeley, Sheri; Fairfield, Ambre; Shora, Nelly – Learning Disability Quarterly, 2017
Decreasing the well-documented research-to-practice gap in special education is thought to partially depend on practitioner access to quality evidence-based interventions. Practitioner journals are one such resource for obtaining this information. The current study is a systematic review of articles published over the last 25 years (1990-2014) in…
Descriptors: Intervention, Special Education, Learning Disabilities, Mild Disabilities
Giacumo, Lisa A.; Breman, Jeroen – Quarterly Review of Distance Education, 2016
This article provides a systematic literature review about nonprofit and for-profit organizations using "big data" to inform performance improvement initiatives. The review of literature resulted in 4 peer-reviewed articles and an additional 33 studies covering the topic for these contexts. The review found that big data and analytics…
Descriptors: Workplace Learning, Literature Reviews, Job Performance, Job Simplification
Zimmerman, Kathleen N.; Ledford, Jennifer R. – Journal of Early Intervention, 2017
Social narratives (e.g., Social Stories™) are common antecedent-based interventions promoted for the purposes of improving prosocial behaviors and reducing challenging behavior for children with and without disabilities. Although they are commonly prescribed and used, their effectiveness has almost exclusively been assessed for children with…
Descriptors: Autism, Pervasive Developmental Disorders, Personal Narratives, Intervention
Cook, Bryan G.; Dupuis, Danielle N.; Jitendra, Asha K. – Journal of Learning Disabilities, 2017
When classifying the evidence base of practices, special education scholars typically appraise study quality to identify and exclude from consideration in their reviews unacceptable-quality studies that are likely biased and might bias review findings if included. However, study quality appraisals used in the process of identifying evidence-based…
Descriptors: Investigations, Evidence Based Practice, Experimental Programs, Special Education
Predictors of Sustained Implementation of School-Wide Positive Behavioral Interventions and Supports
McIntosh, Kent; Mercer, Sterett H.; Nese, Rhonda N. T.; Strickland-Cohen, M. Kathleen; Hoselton, Robert – Journal of Positive Behavior Interventions, 2016
In this analysis of extant data from 3,011 schools implementing school-wide positive behavioral interventions and supports (SWPBIS) across multiple years, we assessed the predictive power of various school characteristics and speed of initial implementation on sustained fidelity of implementation of SWPBIS at 1, 3, and 5 years. In addition, we…
Descriptors: Predictor Variables, Sustainability, Program Implementation, Positive Behavior Supports
Predictors of Sustained Implementation of School-Wide Positive Behavioral Interventions and Supports
McIntosh, Kent; Mercer, Sterett H.; Nese, Rhonda N. T.; Strickland-Cohen, M. Kathleen; Hoselton, Robert – Grantee Submission, 2016
In this analysis of extant data from 3,011 schools implementing school-wide positive behavioral interventions and supports (SWPBIS) across multiple years, we assessed the predictive power of various school characteristics and speed of initial implementation on sustained fidelity of implementation of SWPBIS at 1, 3, and 5 years. In addition, we…
Descriptors: Predictor Variables, Sustainability, Positive Behavior Supports, Intervention
Maynard, Brandy R.; Peters, Kristen E.; Vaughn, Michael G.; Sarteschi, Christine M. – Research on Social Work Practice, 2013
Objective: This study examined whether and to what extent researchers addressed intervention fidelity in research of after-school programs serving at-risk students. Method: Systematic review procedures were used to search, retrieve, select, and analyze studies for this review. Fifty-five intervention studies were assessed on the following…
Descriptors: Intervention, Fidelity, After School Programs, At Risk Students
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