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Showing 1 to 15 of 64 results Save | Export
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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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Adams, David; Bittner, Melissa; Silliman-French, Lisa; Lavay, Barry – Journal of Physical Education, Recreation & Dance, 2023
The responsibilities of a general physical educator can be challenging and at times overwhelming. Whether teaching a full day of general physical education, or inclusive physical education classes that include a student or multiple students with disabilities, the expectation is that all students will be provided age and developmentally appropriate…
Descriptors: Action Research, Physical Education, Physical Education Teachers, Observation
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Majdi Beseiso – TechTrends: Linking Research and Practice to Improve Learning, 2025
Predicting students' success is crucial in educational settings to improve academic performance and prevent dropouts. This study aimed to improve student performance prediction by combining advanced machine learning (ML) approaches. Convolutional Neural Networks (CNNs) and attention mechanisms were used for extracting relevant features from…
Descriptors: Prediction, Success, Academic Achievement, Artificial Intelligence
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Neal, Jennifer Watling; Neal, Zachary P. – School Psychology, 2022
Understanding educators' networks can inform the field of school psychology by offering insight into how the structure of social relationships supports the implementation of school-based programs. However, the difficulties of collecting and modeling network data remain barriers to using network methods in school psychology. To overcome these…
Descriptors: Data Collection, Visualization, Models, Social Networks
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Chenglong Wang – Turkish Online Journal of Educational Technology - TOJET, 2024
The rapid development of education informatization has accumulated a large amount of data for learning analytics, and adopting educational data mining to find new patterns of data, develop new algorithms and models, and apply known predictive models to the teaching system to improve learning is the challenge and vision of the education field in…
Descriptors: Decision Making, Prediction, Models, Intervention
Nancy Montes; Fernanda Luna – UNESCO International Institute for Educational Planning, 2024
This article characterizes and reflects on the possible uses of early warning systems (hereafter, EWS) in the region as effective tools to support educational pathways, whenever they identify risks of dropout, difficulties for the achievement of substantive learning, and the possibility of organizing specific actions. This article was developed in…
Descriptors: Data Collection, Data Use, At Risk Students, Foreign Countries
Dunlap, Glen; Wilson, Kelly; Strain, Phillip S.; Lee, Janice K. – Brookes Publishing Company, 2022
The premier Tier 3 intervention for the Pyramid Model, Prevent-Teach-Reinforce for Young Children (PTR-YC) is a research-proven, family-centered approach used in preschool settings nationwide to resolve persistent challenging behaviors. Now this bestselling PTR-YC guidebook is in a thoughtfully revised second edition, with enhancements and…
Descriptors: Models, Preschool Education, Behavior Change, Behavior Problems
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Fisher, Molly H.; Thomas, Jonathan; Schack, Edna O.; Jong, Cindy; Tassell, Janet – Mathematics Education Research Journal, 2018
This study examined the impact of an intervention, focused on professional noticing of children's conceptual development in whole number and arithmetic reasoning, on preservice elementary teachers' (PSETs') professional noticing skills, attitudes toward mathematics, and mathematical knowledge for teaching mathematics. A video-based professional…
Descriptors: Numeracy, Preservice Teachers, Intervention, Children
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Motz, Benjamin A.; Carvalho, Paulo F.; de Leeuw, Joshua R.; Goldstone, Robert L. – Journal of Learning Analytics, 2018
To identify the ways teachers and educational systems can improve learning, researchers need to make causal inferences. Analyses of existing datasets play an important role in detecting causal patterns, but conducting experiments also plays an indispensable role in this research. In this article, we advocate for experiments to be embedded in real…
Descriptors: Causal Models, Statistical Inference, Inferences, Educational Experiments
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Rienties, Bart; Boroowa, Avinash; Cross, Simon; Kubiak, Chris; Mayles, Kevin; Murphy, Sam – Journal of Interactive Media in Education, 2016
There is an urgent need to develop an evidence-based framework for learning analytics whereby stakeholders can manage, evaluate, and make decisions about which types of interventions work well and under which conditions. In this article, we will work towards developing a foundation of an Analytics4Action Evaluation Framework (A4AEF) that is…
Descriptors: Open Universities, Foreign Countries, Intervention, Models
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Narea, Marigen – New Directions for Child and Adolescent Development, 2016
This commentary discusses the implication of child and adolescent development research for public policy in Latin America. As illustrated by the articles in this special issue, even though the research of child and adolescent development in Latin America is making significant progress, still more research is needed. Developmental research in the…
Descriptors: Foreign Countries, Educational Research, Child Development, Adolescent Development
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Edwards, Oliver W.; Cheeley, Taylor – Children & Schools, 2016
Educational policies require the use of data and progress monitoring frameworks to guide instruction and intervention in schools. As a result, different problem-solving models such as multitiered systems of supports (MTSS) have emerged that use these frameworks to improve student outcomes. However, problem-focused models emphasize negative…
Descriptors: Youth, Youth Programs, Nutrition, Outcomes of Education
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McKee, Holly – Online Learning, 2017
With the widespread use of learning analytics (LA) tools, there is a need to explore how these technologies can be used to enhance teaching and learning. Little research has been conducted on what human processes are necessary to facilitate meaningful adoption of LA. The research problem is that there is a lack of evidence-based guidance on how…
Descriptors: Educational Research, Data Collection, Data Analysis, Program Implementation
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Trudeau, Kimberlee J.; Black, Ryan A.; Kamon, Jody L.; Sussman, Steve – Child & Youth Care Forum, 2017
Background: An Internet-based relapse prevention supplement to adolescent substance abuse treatment programming is a promising modality to reinforce treatment gains and enhance recovery; however, an evidence base is lacking. Objective: To assess the efficacy of the online Navigating my Journey (NmJ) program. Methods: 129 adolescent-aged…
Descriptors: Randomized Controlled Trials, Recidivism, Prevention, Internet
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Wexler, Jade; Swanson, Elizabeth; Vaughn, Sharon; Shelton, Alexandra; Kurz, Leigh Ann – Middle School Journal, 2019
It is essential for middle school leaders to develop and promote school-wide literacy models, organizational structures that have a significant impact on the learning environment for all students in their building. However, school-wide literacy models can be difficult to implement and sustain over time. Drawing from an Office of Special Education…
Descriptors: Sustainability, Early Adolescents, Middle School Students, Educational Environment
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