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Conrad Borchers; Ha Tien Nguyen; Paulo F. Carvalho; Kenneth R. Koedinger; Vincent Aleven – Grantee Submission, 2025
Parent and caregiver involvement in homework can be critical to student success, yet many families face barriers such as limited time and content knowledge. We examine two approaches to involving caregivers in homework that students complete with tutoring systems for middle school mathematics. The first, an intelligent caregiver support module,…
Descriptors: Parent Role, Caregiver Role, Homework, Middle School Students
Peer reviewedConrad Borchers; Jeroen Ooge; Cindy Peng; Vincent Aleven – Grantee Submission, 2025
Personalized problem selection enhances student practice in tutoring systems. Prior research has focused on transparent problem selection that supports learner control but rarely engages learners in selecting practice materials. We explored how different levels of control (i.e., full AI control, shared control, and full learner control), combined…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Learner Controlled Instruction, Learning Analytics
Peer reviewedDevika Venugopalan; Ziwen Yan; Conrad Borchers; Jionghao Lin; Vincent Aleven – Grantee Submission, 2025
Caregivers (i.e., parents and members of a child's caring community) are underappreciated stakeholders in learning analytics. Although caregiver involvement can enhance student academic outcomes, many obstacles hinder involvement, most notably knowledge gaps with respect to modern school curricula. An emerging topic of interest in learning…
Descriptors: Homework, Computational Linguistics, Teaching Methods, Learning Analytics
Peer reviewedHa Tien Nguyen; Conrad Borchers; Meng Xia; Vincent Aleven – Grantee Submission, 2024
Intelligent tutoring systems (ITS) can help students learn successfully, yet little work has explored the role of caregivers in shaping that success. Past interventions to support caregivers in supporting their child's homework have been largely disjunct from educational technology. The paper presents prototyping design research with nine middle…
Descriptors: Middle School Mathematics, Intelligent Tutoring Systems, Caregivers, Caregiver Attitudes
Conrad Borchers; Ha Tien Nguyen; Paulo F. Carvalho; Kenneth R. Koedinger; Vincent Aleven – Grantee Submission, 2025
Caregiver involvement in homework is a key contributor to student success, yet its interaction with intelligent tutoring systems remains underexamined. To address this gap, we conducted a technology probe study exploring how a conversational support tool might enhance caregiver assistance during remote math homework within tutoring systems.…
Descriptors: Parent Participation, Parent Role, Homework, Intelligent Tutoring Systems
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
Peer reviewedCindy Peng; Conrad Borchers; Vincent Aleven – Grantee Submission, 2024
Prior studies identified effective, but mainly non-digital, homework aids. This research involved 18 middle school students in a lo-fi prototyping study to integrate traditional homework support tools with intelligent tutoring systems (ITS), leveraging rich log data for personalized learning. Feature investigations in standardized diaries, goal…
Descriptors: Middle School Students, Intelligent Tutoring Systems, Homework, Design
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
Li, Ni; Warter-Perez, Nancy; Shen, He – Grantee Submission, 2019
Homework is considered as a substantial process of learning especially for engineering education. However, due to the fast development of network technology, students now can easily find solution manuals on the internet. While some students use solution manuals to study, there are quite a few students who just copy homework solutions and lose…
Descriptors: Self Evaluation (Individuals), Homework, Error Correction, Models
R. Elizabeth Capps; Stephen P. Becker – Grantee Submission, 2025
Students' social behaviors are associated with academic enablers and academic outcomes. However, social withdrawal, a key correlate of youth with cognitive disengagement syndrome (CDS), has not been examined in relation to academic enablers. In this cross-sectional study, we examined associations between teacher-reported social withdrawal and…
Descriptors: Social Behavior, Withdrawal (Psychology), Student Behavior, Elementary School Students
Guerrero, Tricia Ann; Griffin, Thomas D.; Wiley, Jennifer – Grantee Submission, 2020
Past work has shown that generating explanations can improve both comprehension and metacomprehension outcomes. Although practice testing may sometimes improve comprehension, it is unclear if it affects metacomprehension (the ability to monitor one's understanding). The current study tested whether online homework activities involving practice…
Descriptors: College Students, Comprehension, Metacognition, Testing
Mrazek, Alissa J.; Mrazek, Michael D.; Ortega, Joshua R.; Ji, Rosie R.; Karimi, Sana S.; Brown, Chelsea S.; Alexander, Chelsie A.; Khan, Maliha; Panahi, Rhozhen; Sadoff, Madeline; Scott, Ashley; Tyszka, JimiRose E.; Schooler, Jonathan W. – Grantee Submission, 2021
Although research suggests that phone usage during academic activities is problematic for learning and performance, little is known about high school students' digital multitasking during homework. This exploratory descriptive study surveyed 135 students from four public U.S. high schools to investigate teenagers' attitudes towards digital…
Descriptors: Telecommunications, Handheld Devices, Homework, Adolescents
Attention Training Improves the Self-Reported Focus and Emotional Regulation of High School Students
Alissa J. Mrazek; Michael D. Mrazek; Chelsea S. Brown; Sana S. Karimi; Rosie R. Ji; Joshua R. Ortega; Andrew Maul; Peter C. Carr; Alex M. Delegard; Arianna C. Kirk; Jonathan W. Schooler – Grantee Submission, 2022
Previous research points to digital attention training as a potential remedy for the growing levels of distraction and emotional distress that adolescents experience. However, no studies with a comparison group have been conducted in high school settings to assess the feasibility and efficacy of digital attention training. Using a two-group,…
Descriptors: Attention Control, Intervention, Comparative Analysis, Teaching Methods
Epstein, Joyce L.; Mac Iver, Douglas J.; Mac Iver, Martha A.; Sheldon, Steven B. – Grantee Submission, 2021
Middle grades teachers want early adolescents to take responsibility for their own learning and success in school. One way to encourage this is with "interactive homework," which enables students to lead conversations with a parent or family partner about something interesting they are learning in class. An exploratory study tested…
Descriptors: Middle School Students, High School Students, Grade 8, Grade 9

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