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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)
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Yasemin Copur-Gencturk; Jingxian Li; Allan S. Cohen; Chandra Hawley Orrill – Grantee Submission, 2024
Scholars and practitioners have called for personalized and widely accessible professional development (PD) for teachers. Yet, a long-standing tension between customizing support and increasing access to such support has hindered the scale-up of high-quality PD for individual teachers. This study addresses this challenge by developing a…
Descriptors: Professional Development, Electronic Learning, Individualized Instruction, Program Effectiveness
Lauren E. Decker-Woodrow; Craig A. Mason; Ji-Eun Lee; Jenny Yun-Chen Chan; Adam Sales; Allison Liu; Shihfen Tu – Grantee Submission, 2023
The current study investigated the effectiveness of three distinct educational technologies--two game-based applications (From Here to There and DragonBox 12+) and two modes of online problem sets in ASSISTments (an Immediate Feedback condition and an Active Control condition with no immediate feedback) on Grade 7 students' algebraic knowledge.…
Descriptors: Educational Technology, Algebra, COVID-19, Pandemics
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Jamie Gillespie; Kevin Winn; Malinda Faber; Jessica Hunt – Grantee Submission, 2022
ASSISTments is a free online learning tool for improving students' mathematics achievement by providing immediate feedback and hints to students, detailed information on how students performed to teachers, and instructional suggestions for teachers to use. Researchers at the Friday Institute for Educational Innovation conducted an intrinsic,…
Descriptors: Formative Evaluation, Electronic Learning, Grade 7, Mathematics Teachers
Jenny Yun-Chen Chan; Erin R. Ottmar; Hannah Smith; Avery H. Closser – Grantee Submission, 2022
To efficiently solve mathematical expressions and equations, students need to notice the systemic structure of mathematical expressions (e.g., inverse relation between 3 and 3 in 3 + 5 - 3). We examined how symbols--specifically variables versus numbers--and students' algebraic knowledge impacted seventh graders' problem-solving strategies and use…
Descriptors: Problem Solving, Algebra, Symbols (Mathematics), Knowledge Level
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Ji-Eun Lee; Erin Ottmar; Jenny Yun-Chen Chan; Barbara Booker; Lauren Decker-Woodrow – Grantee Submission, 2021
The COVID-19 pandemic has had a massive impact on education systems in the U.S, prompting a variety of changes to school learning environments. This study investigates student/family choices of learning modality in one large school district in the U.S and examines how these choices differ by students' race/ethnicity and performance level. Results…
Descriptors: Learning Modalities, In Person Learning, Electronic Learning, Distance Education
Mingyu Feng; Jeremy Roschelle – Grantee Submission, 2016
How students do homework has been under-researched relative to classroom learning because it is more difficult to collect data on students' homework behaviors. Presumably, such data would have implications for students' achievement. To understand how students do homework and how homework performance and behaviors relate to end-of-year standardized…
Descriptors: Electronic Learning, Homework, Prediction, Student Behavior
Roschelle, Jeremy; Feng, Mingyu; Murphy, Robert F.; Mason, Craig A. – Grantee Submission, 2016
In a randomized field trial with 2,850 seventh-grade mathematics students, we evaluated whether an educational technology intervention increased mathematics learning. Assigning homework is common yet sometimes controversial. Building on prior research on formative assessment and adaptive teaching, we predicted that combining an online homework…
Descriptors: Mathematics Instruction, Homework, Electronic Learning, Mathematics Achievement
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Kellman, Philip J.; Massey, Christine; Roth, Zipora; Burke, Timothy; Zucker, Joel; Saw, Amanda; Aguero, Katherine E.; Wise, Joseph A. – Grantee Submission, 2008
Learning in educational settings most often emphasizes declarative and procedural knowledge. Studies of expertise, however, point to other, equally important components of learning, especially improvements produced by experience in the extraction of information: "Perceptual learning." Here we describe research that combines principles of…
Descriptors: Mathematics Instruction, Cognitive Style, Perception, Pattern Recognition