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Lauren E. Oddo; Bryce D. McLeod; Kevin S. Sutherland; Jason C. Chow; Jennifer R. Ledford; Grace W. Li – Grantee Submission, 2025
It is difficult for consumers to access the evidence base for prevention programs to determine which models or practices have the strongest empirical support for improving youth social, emotional, and behavioral (SEB) outcomes within their specific service contexts. Researchers can address this evidence-to-practice gap through innovations in…
Descriptors: Synthesis, Youth, Social Problems, Emotional Problems
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Magooda, Ahmed; Litman, Diane – Grantee Submission, 2021
This paper explores three simple data manipulation techniques (synthesis, augmentation, curriculum) for improving abstractive summarization models without the need for any additional data. We introduce a method of data synthesis with paraphrasing, a data augmentation technique with sample mixing, and curriculum learning with two new difficulty…
Descriptors: Data Analysis, Synthesis, Documentation, Models
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Magooda, Ahmed; Elaraby, Mohamed; Litman, Diane – Grantee Submission, 2021
This paper explores the effect of using multitask learning for abstractive summarization in the context of small training corpora. In particular, we incorporate four different tasks (extractive summarization, language modeling, concept detection, and paraphrase detection) both individually and in combination, with the goal of enhancing the target…
Descriptors: Data Analysis, Synthesis, Documentation, Training
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Julianna Washington; Candace Walkington – Grantee Submission, 2024
This article explores the use of Extended Reality (XR) technologies, such as Augmented Reality (AR) and motion capture, in mathematics instruction, specifically focusing on geometry learning. Our research highlights the challenges students face in learning geometry due to its abstract nature and the potential of XR technologies to create…
Descriptors: Mathematics Instruction, Geometry, Physical Environment, Simulated Environment
Zimmerman, Kathleen N.; Ledford, Jennifer R.; Severini, Katherine E.; Pustejovsky, James E.; Barton, Erin E.; Lloyd, Blair P. – Grantee Submission, 2018
Tools for evaluating the quality and rigor of single case research designs (SCD) are often used when conducting SCD syntheses. Preferred components include evaluations of design features related to the internal validity of SCD to obtain quality and/or rigor ratings. Three tools for evaluating the quality and rigor of SCD (Council for Exceptional…
Descriptors: Research Design, Evaluation Methods, Synthesis, Validity
Zimmerman, Kathleen N.; Pustejovsky, James E.; Ledford, Jennifer R.; Barton, Erin E.; Severini, Katherine E.; Lloyd, Blair P. – Grantee Submission, 2018
Varying methods for evaluating the outcomes of single case research designs (SCD) are currently used in reviews and meta-analyses of interventions. Quantitative effect size measures are often presented alongside visual analysis conclusions. Six measures across two classes--overlap measures (percentage non-overlapping data, improvement rate…
Descriptors: Research Design, Evaluation Methods, Synthesis, Intervention