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Yikai Lu; Teresa M. Ober; Cheng Liu; Ying Cheng – Grantee Submission, 2022
Machine learning methods for predictive analytics have great potential for uncovering trends in educational data. However, simple linear models still appear to be most widely used, in part, because of their interpretability. This study aims to address the issues of interpretability of complex machine learning classifiers by conducting feature…
Descriptors: Prediction, Statistics Education, Data Analysis, Learning Analytics
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Yizhu Gao; Xiaoming Zhai; Min Li; Gyeonggeon Lee; Xiaoxiao Liu – Grantee Submission, 2025
The rapid evolution of generative artificial intelligence (GenAI) is transforming science education by facilitating innovative pedagogical paradigms while raising substantial concerns about scholarly integrity. One particularly pressing issue is the growing risk of student use of GenAI tools to outsource assessment tasks, potentially compromising…
Descriptors: Artificial Intelligence, Computer Software, Science Education, Integrity
Lindsey Peters-Sanders; Houston Sanders; Howard Goldstein; Kandethody Ramachandran – Grantee Submission, 2023
Purpose: Identifying appropriate targets for vocabulary instruction and determining the optimal sequence for instruction continue to be a challenge. The purpose of this study is to investigate how previously studied lexical characteristics collectively influence children's word learning. Method: A secondary data analysis was conducted using the…
Descriptors: Grade 1, Grade 3, Elementary School Students, Vocabulary Development
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Taylor Lesner; Ben Clarke; Derek Kosty; Geovanna Rodriguez; Elizabeth L. Budd; Christian Doabler – Grantee Submission, 2025
This secondary analysis of data from a randomized control trial of an early mathematics intervention, ROOTS, explored whether patterns of intervention response were best categorized by the typical response/non-response binary or a more complex framework with additional response profiles. Participants included kindergarten students at risk for…
Descriptors: Mathematics Instruction, Response to Intervention, At Risk Students, Kindergarten
Jaiya R. Choles; Robert W. Roeser; Andrew J. Mashburn – Grantee Submission, 2022
Social-emotional learning (SEL) programs are frequently evaluated using randomized controlled trial (RCT) methodology as a means to assess program impacts. What is often missing in RCT studies is a robust parallel investigation of the multi-level implementation of the program. The field of implementation science bridges the gap between the RCT…
Descriptors: Preschool Education, Social Emotional Learning, Program Evaluation, Randomized Controlled Trials
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Shen, He; Warter-Perez, Nancy; Dong, Jianyu; Li, Ni – Grantee Submission, 2019
Lower division engineering courses are important yet hard to teach as many students find these highly abstracted material hard to comprehend. Recent studies have suggested that flipped classroom teaching has potential to improve the teaching and learning of lower division engineering courses. While some educators are optimistic about the potential…
Descriptors: Flipped Classroom, Teaching Methods, Engineering Education, Undergraduate Students
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Choppin, Jeffrey; Carson, Cynthia; Borys, Zenon; Cerosaletti, Cathleen; Gillis, Robert – Grantee Submission, 2014
Digital content is increasingly present in U.S. K-12 classrooms, with a current push by federal officials to increase the rate at which digital textbooks are adopted. While some teachers' use of electronic resources involves locating activities and lessons from various internet sites, textbook and educational software companies have begun to…
Descriptors: Mathematics Instruction, Electronic Publishing, Computer Software, Costs
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Kendeou, Panayiota; McMaster, Kristen L; Butterfuss, Reese; Kim, Jasmine; Bresina, Britta; Wagner, Kyle – Grantee Submission, 2019
We present an integrated theoretical framework guiding the use of visual narratives in educational settings. We focus specifically on the use of static and dynamic visual narratives to teach and assess inference skills in young children and discuss evidence to support the efficacy of this approach. In doing so, first we review the basis of the…
Descriptors: Inferences, Language Processing, Feedback (Response), Visual Aids
Li, Jennifer; Steele, Jennifer; Slater, Robert; Bacon, Michael; Miller, Trey – Grantee Submission, 2016
Many educators and policymakers look to two-way dual language immersion as one of the most promising options to close achievement gaps for English learners. However, the programs' effectiveness depends on the quality of their implementation. This article reports on a large-scale study of the implementation of dual language immersion across a…
Descriptors: Teaching Methods, Immersion Programs, School Districts, Guidelines