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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)
Mingyu Feng; Chunwei Huang; Kelly Collins – Grantee Submission, 2023
Math performance continues to be an important focus for improvement. Many districts adopted educational technology programs to support student learning and teacher instruction. The ASSISTments program provides feedback to students as they solve homework problems and automatically prepares reports for teachers about student performance on daily…
Descriptors: Grade 7, Students, Mathematics Instruction, Homework
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