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Mingyu Feng; Neil Heffernan; Kelly Collins; Cristina Heffernan; Robert F. Murphy – Grantee Submission, 2023
Math performance continues to be an important focus for improvement. The most recent National Report Card in the U.S. suggested student math scores declined in the past two years possibly due to COVID-19 pandemic and related school closures. We report on the implementation of a math homework program that leverages AI-based one-to-one technology,…
Descriptors: Homework, Artificial Intelligence, Computer Assisted Instruction, Feedback (Response)
Benjamin G. Solomon – Grantee Submission, 2023
Project ENGAGE was an Education Innovation and Research federal grant awarded to the Osage County Interlocal Cooperative in October of 2017. This study addressed the effect of a combination of literacy and behavioral supports on the academic outcomes of elementary students in rural public schools. The five-year multi-element study included a…
Descriptors: Elementary School Students, Rural Schools, Positive Behavior Supports, Computer Assisted Instruction
Kirk Vanacore; Adam Sales; Allison Liu; Erin Ottmar – Grantee Submission, 2023
Computer-assisted learning platforms (CALPS) increasingly include gamified elements to improve student outcomes by enhancing their engagement with content. Although evidence exists that gamified programs increase engagement and learning outcomes, there is little causal research on what programmatic mechanisms drive the effect between engagement…
Descriptors: Educational Games, Gamification, Algebra, Mathematics Instruction
Kirk P. Vanacore; Ashish Gurung; Andrew A. McReynolds; Allison Liu; Stacy T. Shaw; Neil T. Heffernan – Grantee Submission, 2023
As evidence grows supporting the importance of non-cognitive factors in learning, computer-assisted learning platforms increasingly incorporate non-academic interventions to influence student learning and learning related-behaviors. Non-cognitive interventions often attempt to influence students' mindset, motivation, or metacognitive reflection to…
Descriptors: Intervention, Program Effectiveness, Student Behavior, Computer Assisted Instruction
McCarthy, Kathryn S.; Watanabe, Micah; Dai, Jianmin; McNamara, Danielle S. – Grantee Submission, 2020
Computer-based learning environments (CBLEs) provide unprecedented opportunities for personalized learning at scale. One such system, iSTART (Interactive Strategy Training for Active Reading and Thinking) is an adaptive, game-based tutoring system for reading comprehension. This paper describes how efforts to increase personalized learning have…
Descriptors: Game Based Learning, Reading Comprehension, High School Students, Educational Technology
Sierra Eisen; Angeline S. Lillard – Grantee Submission, 2020
In three studies, we examined children's geography learning from a physical puzzle and an app designed to mimic the puzzle. In Study 1, 5- and 6-year-olds were taught Australia's states by an experimenter using a puzzle or were taught by an app. Children learned significantly more states from instruction with the puzzle than when they used the app…
Descriptors: Foreign Countries, Young Children, Geography, Geography Instruction
Karrie A. Shogren; Valerie L. Mazzotti; Tyler A. Hicks; Sheida K. Raley; Daria Gerasimova; Jesse R. Pace; Stephen M. Kwiatek; Darcy Fredrick; Jared H. Stewart-Ginsburg; Richard Chapman; Danielle C. Wysenski – Grantee Submission, 2022
Promoting self-determination is essential to effective transition services and supports. The Goal Setting Challenge App (GSC App) was developed to deliver self-determination instruction via technology, building on the evidence-based Self-Determined Learning Model of Instruction (SDLMI). This paper presents data on goal attainment outcomes for…
Descriptors: Goal Orientation, COVID-19, Pandemics, Computer Software
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Bennett, Jessica; Gardner, Ralph, III.; Cartledge, Gwendolyn; Ramnath, Rajiv; Council, Morris R., III. – Grantee Submission, 2017
This study investigated the effects of a multicomponent, supplemental intervention on the reading fluency of second-grade African-American urban students who showed reading and special education risk. The packaged intervention combined repeated readings and culturally relevant stories, delivered through a novel computer software program to enhance…
Descriptors: Grade 2, Elementary School Students, Intervention, Reading Fluency
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Roschelle, Jeremy; Herman, Phillip; Bumgardner, Karen; Shechtman, Nicole; Feng, Mingyu – Grantee Submission, 2018
In the context of a large-scale randomized controlled trial, our team investigated "front line" teaching issues as schools implemented a fully digital, blended learning curriculum in mathematics. This paper focuses on observations of instruction within schools that were assigned to use the new digital resources. Compared to a…
Descriptors: Mathematics Instruction, Blended Learning, Comparative Analysis, Class Activities
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Council, Morris R, III.; Cartledge, Gwendolyn; Green, DeLayna; Barber, Mariah; Ralph, Gardner, III. – Grantee Submission, 2016
This descriptive study examined whether a computer-based, repeated reading intervention (i.e., Reading Relevant and Culturally Engaging Stories) is associated with improved reading and social behavior for three primary-aged urban black girls who each showed both academic and behavioral risk. The Reading Relevant and Culturally Engaging Stories…
Descriptors: Observation, Educational Technology, Student Attitudes, Questionnaires