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Conrad 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
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Devika 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
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Ha 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
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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
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Cindy 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
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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
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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
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
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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Jenelle Nissley-Tsiopinis; Thomas J. Power; Phylicia F. Fleming; Katie L. Tremont; Bridget Poznanski; Shannon Ryan; Jaclyn Cacia; Theresa Egan; Cristin Montalbano; Alex Holdaway; Ami Patel; Richard Gallagher; Howard Abikoff; A. Russell Localio; Jennifer A. Mautone – Grantee Submission, 2024
Objective: Research has demonstrated the effectiveness of interventions to reduce organizational skills deficits and homework problems, including the clinic-based Organizational Skills Training (OST-C) program (Abikoff et al., 2013). In this study, OST-C was adapted for schools as a small-group (Tier 2) intervention delivered by school partners…
Descriptors: Elementary School Students, Homework, Academic Achievement, Intervention
Roberts, Garrett J.; Miller, Gloria E.; Watts, Gavin W.; Malala, Dina K.; Amidon, Brigette E.; Strain, Phil – Grantee Submission, 2020
Many students with attention-deficit/hyperactivity disorder (ADHD) also have reading deficits. These reading deficiencies in students with ADHD are likely to be more severe than those of students with only reading difficulties. To intensify reading instruction to improve reading and behavioral outcomes for students with ADHD, this article…
Descriptors: Reading Instruction, Attention Deficit Hyperactivity Disorder, Family School Relationship, Family Involvement
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
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