Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 8 |
Since 2006 (last 20 years) | 9 |
Descriptor
Source
Grantee Submission | 9 |
Author
Mingyu Feng | 4 |
Jeremy Roschelle | 2 |
Kelly Collins | 2 |
Becker, Stephen P. | 1 |
Chunwei Huang | 1 |
Craig A. Mason | 1 |
Cristina Heffernan | 1 |
Cusick, Caroline N. | 1 |
Fairman, Janet | 1 |
Feng, Mingyu | 1 |
Fisher, Susannah | 1 |
More ▼ |
Publication Type
Reports - Research | 9 |
Speeches/Meeting Papers | 4 |
Journal Articles | 3 |
Tests/Questionnaires | 1 |
Education Level
Elementary Education | 8 |
Grade 7 | 8 |
Junior High Schools | 8 |
Middle Schools | 8 |
Secondary Education | 8 |
Grade 8 | 2 |
Grade 5 | 1 |
Grade 6 | 1 |
Intermediate Grades | 1 |
Audience
Location
Maine | 4 |
North Carolina | 3 |
Laws, Policies, & Programs
Assessments and Surveys
TerraNova Multiple Assessments | 1 |
Wechsler Abbreviated Scale of… | 1 |
Wechsler Individual… | 1 |
What Works Clearinghouse Rating
Meets WWC Standards without Reservations | 1 |
Meets WWC Standards with or without Reservations | 1 |
Does not meet standards | 1 |
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
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
Robert Murphy; Jeremy Roschelle; Mingyu Feng; Craig A. Mason – Grantee Submission, 2020
We report on a randomized controlled trial of an intervention that leverages the availability of laptops for all public-school students in the state of Maine. The intervention, called "ASSISTments," provides feedback to students as they solve mathematics homework problems and automatically prepares reports for teachers about student…
Descriptors: Intervention, Program Effectiveness, Access to Computers, Laptop Computers
Smith, Zoe R.; Langberg, Joshua M.; Cusick, Caroline N.; Green, Cathrin D.; Becker, Stephen P. – Grantee Submission, 2020
The present study evaluates differences in self-reported intrinsic and extrinsic academic motivation and amotivation between eighth-grade adolescents with (n = 162) and without (n = 140) ADHD. This study also examines associations between motivation and academic functioning with objective (i.e., grade point average, standardized reading and math…
Descriptors: Student Motivation, Rewards, Grade 8, Early Adolescents
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
Fyfe, Emily R. – Grantee Submission, 2016
Homework is transforming at a rapid rate with continuous advances in educational technology. Computer-based homework, in particular, is gaining popularity across a range of schools, with little empirical evidence on how to optimize student learning. The current aim was to test the effects of different types of feedback on computer-based homework.…
Descriptors: Algebra, Homework, Feedback (Response), Middle School Students
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
Fairman, Janet; Porter, Michael; Fisher, Susannah – Grantee Submission, 2015
This report presents the findings from interviews with principals about their schools' participation in the ASSISTments efficacy study on seventh-grade mathematics. The purpose of the interviews was to explore the following areas: To what extent schools had policies or expectations regarding homework practice and completion; To what extent schools…
Descriptors: Principals, Homework, Mathematics Instruction, Technology Uses in Education