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Cortney DiRussa; Samantha Coyle-Eastwick; Britney Jeyanayagam – International Journal of Bullying Prevention, 2025
Bullying victimization is a school problem that warrants attention. While most work has focused on understanding bullies and victims, it is important that research explore how to promote bystander behavior during bullying as a mechanism to deter bullying in schools. Perceptions of the school climate may impact the likelihood of a student's…
Descriptors: Bullying, Intervention, Middle School Students, Prevention
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Sierra Castedo de Martell; Lori Holleran Steiker; Andrew Springer; Jeffery Jones; Emily Eisenhart; H. Shelton Brown III – Journal of American College Health, 2024
Objective: To conduct a preliminary cost-effectiveness analysis of collegiate recovery programs in the United States and to create a tailorable cost-effectiveness calculator based on the preliminary cost-effectiveness model. Methods: Cost-effectiveness was assessed with a base case, one-way sensitivity analyses, and probabilistic sensitivity…
Descriptors: Cost Effectiveness, College Students, Substance Abuse, Drug Rehabilitation
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Prihar, Ethan; Vanacore, Kirk; Sales, Adam; Heffernan, Neil – International Educational Data Mining Society, 2023
There is a growing need to empirically evaluate the quality of online instructional interventions at scale. In response, some online learning platforms have begun to implement rapid A/B testing of instructional interventions. In these scenarios, students participate in series of randomized experiments that evaluate problem-level interventions in…
Descriptors: Electronic Learning, Intervention, Instructional Effectiveness, Data Collection
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Caroline Bond; Vanessa Evans; Neil Humphrey – Journal of Research in Special Educational Needs, 2024
Schools are increasingly encouraged to adopt evidence-based or evidence informed interventions and implement them using insights from implementation science. The literature relating to implementation of interventions in schools has focused largely on universal interventions, particularly for social and emotional learning (SEL), which are designed…
Descriptors: Social Emotional Learning, Intervention, Program Implementation, Comparative Analysis
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Keith C. Radley; Evan H. Dart – Journal of Behavioral Education, 2025
Recent research has indicated that the manner in which single-case data are typically displayed for visual analysis may influence rater decisions regarding the effect of an intervention. Subsequently, researchers have encouraged adherence to a standard assembly for linear graphs in order to control these effects. Others, however, have encouraged…
Descriptors: Graphs, Research Design, Visual Aids, Data Analysis
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Navjot Kaur; Chand S. Navaneeth; Ritesh Khunyakari – International Journal of Technology and Design Education, 2025
Contemporary literature in engineering education calls for focused efforts towards revitalizing the curriculum, pedagogic practice, and assessments. Creating multidisciplinary, experiential learning opportunities through a biomimicry module offers authentic and situated experiences for designing sustainable solutions inspired by and in harmony…
Descriptors: Foreign Countries, Undergraduate Students, Engineering Education, Intervention
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Jade Wexler; Alexandra Shelton; Elizabeth Swanson; S. Blair Payne; Robin Sayers; Tara Johnston; Erin K. Hogan; Kristabel Stark – Grantee Submission, 2025
This conceptual paper describes the development of an adaptive intervention model for coaching, AIM Coaching. AIM Coaching is designed for middle-school instructional leaders to support teachers' implementation of evidence-based literacy practices within a Tier-1, school-wide literacy model. It is guided by a theory of change that links…
Descriptors: Coaching (Performance), Models, Intervention, Faculty Development
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Sarah J. Hatteberg; Christy Kollath-Cattano – Journal of American College Health, 2024
Objective: Amidst the COVID-19 pandemic, colleges worked to minimize transmission through non-pharmaceutical interventions (NPIs). The objective of this study was to apply the Health Belief Model to assess correlates of US college students' early stage NPI uptake. Participants: Sample includes 1,223 students from a medium-sized university who…
Descriptors: College Students, Health Behavior, COVID-19, Pandemics
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Smith, Bevan I.; Chimedza, Charles; Bührmann, Jacoba H. – Education and Information Technologies, 2022
Although using machine learning for predicting which students are at risk of failing a course is indeed valuable, how can we identify which characteristics of individual students contribute to their being At-Risk? By characterising individual At-Risk students we could potentially advise on specific interventions or ways to reduce their probability…
Descriptors: Individualized Instruction, At Risk Students, Intervention, Models
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Kennedy Kam Ho Chan; David Siu Pan Lau; Jan van Driel – Science Education, 2025
Cultivating in preservice science teachers (PSTs) the competence required to teach scientific models and modeling is a valued outcome of teacher preparation programs. However, science teacher educators face inherent tensions when designing and implementing teacher preparation experiences to achieve this outcome. In this systematic review, we first…
Descriptors: Preservice Teachers, Teacher Education, Teacher Educators, Science Teachers
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George Gyamfi; Barbara E. Hanna; Hassan Khosravi – Educational Technology Research and Development, 2024
While the provision of peer feedback has been widely recommended to enhance learning, many students are inexperienced in this area and would benefit from guidance. This study therefore examines the impact of instructions and examples on the quality of feedback provided by students on peer-developed learning resources produced via an online system,…
Descriptors: Feedback (Response), Peer Relationship, Educational Resources, Models
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James Soland – Journal of Research on Educational Effectiveness, 2024
When randomized control trials are not possible, quasi-experimental methods often represent the gold standard. One quasi-experimental method is difference-in-difference (DiD), which compares changes in outcomes before and after treatment across groups to estimate a causal effect. DiD researchers often use fairly exhaustive robustness checks to…
Descriptors: Item Response Theory, Testing, Test Validity, Intervention
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Zitter, Ashley; Rinn, Hezekiah; Szapuova, Zofia; Avila-Pons, Vanessa M.; Coulter, Kirsty L.; Stahmer, Aubyn C.; Robins, Diana L.; Vivanti, Giacomo – Journal of Autism and Developmental Disorders, 2023
There is increasing evidence supporting the effectiveness of the Early Start Denver Model (ESDM) for children on the autism spectrum. However, substantial variability in response to the ESDM has been reported across participants. We examined the plausible yet untested hypothesis that variations in the fidelity level of therapists delivering the…
Descriptors: Fidelity, Early Intervention, Models, Skill Development
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Bellone, Katherine M.; Elliott, Stephen C.; Hynan, Linda S.; Warren, Beth; Jarrett, Robin B. – Journal of Autism and Developmental Disorders, 2023
We conducted an open-trial proof of concept study to determine the safety, acceptability, and feasibility of Mindful Self-Care for Caregivers (MSCC) for parents of children with Autism Spectrum Disorders (ASD) (N = 13). The intervention was offered as a co-located care model in a pediatric specialty center where the participants' children received…
Descriptors: Child Caregivers, Autism Spectrum Disorders, Metacognition, Self Management
Crystal S. Williams; Michaelene M. Ostrosky – Topics in Early Childhood Special Education, 2023
Caregiver coaching is a recommended practice in early intervention; however, many barriers exist that can prevent early interventionists (EIs) from implementing it. This mixed method study was designed to understand if EIs' perceived use of caregiver coaching changed after Illinois' COVID-19 pandemic stay-at-home order. Questionnaire data and…
Descriptors: Early Intervention, Educational Change, Caregivers, Coaching (Performance)
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