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Takatoyo Umemoto; Tsutomu Inagaki – Journal of Education and Learning, 2025
This study aimed to examine the reciprocal relationship between motivation and engagement in out-of-class learning among Japanese undergraduates by using a cross-lagged panel model. Two online surveys were conducted with 293 university students in Japan. This study measured motivation and engagement with regard to out-of-class tasks (homework) for…
Descriptors: Learning Motivation, Learner Engagement, Undergraduate Students, Foreign Countries
Ford, Robyn; Broadway, Susan; Mason, Diana – Journal of Science Education and Technology, 2023
Contributed data reflective of students' compliance in doing electronic homework (e-HW) exercises when asked to choose when required e-HW assignments are due are evaluated using a quasi-experimental format with non-equivalent groups to determine if first-semester general chemistry (Chem I) students (N = 273) will academically benefit from improved…
Descriptors: Students, Homework, Electronic Learning, Chemistry
Jianzhong Xu – Social Psychology of Education: An International Journal, 2024
This study investigated multilevel models of homework time management involving Chinese middle school students. At the individual level, homework time management was positively associated with arranging the environment, monitoring motivation, time on homework, and teacher and parent autonomy support. Additionally, homework time management was…
Descriptors: Homework, Parent Child Relationship, Learning Motivation, Time Management
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
Amy Chen Kulesa; Marisa Mission; Michelle Croft; Mary K. Wells – Bellwether, 2025
Generative artificial intelligence (GenAI) is a tool that promises efficiency and customization for teachers and students alike but also carries risks of dependency and detachment. This report aims to explore new questions for educators, system leaders, and tool developers such as how much cognitive effort AI should alleviate, how much it should…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Change, Cognitive Processes
Park, Daeun; Gunderson, Elizabeth A.; Maloney, Erin A.; Tsukayama, Eli; Beilock, Sian L.; Duckworth, Angela L.; Levine, Susan C. – Developmental Psychology, 2023
Prior research shows that when parents monitor, check, and assist in completing homework without an invitation, their children's motivation and academic achievement often decline. We propose that intrusive support from parents might also send the message that children are incompetent, especially if they believe their intelligence is fixed. We…
Descriptors: Homework, Parenting Styles, Parent Child Relationship, Learning Motivation
Dunleavy, Spencer; Kestin, Greg; Callaghan, Kristina; McCarty, Logan; Deslauriers, Louis – Physical Review Physics Education Research, 2022
The typical introductory physics lecture requires students to consolidate and assimilate a large quantity of complex information that is often novel to them. This can leave students overwhelmed, slow the pace of their learning, and lower their motivation. We find that carefully designed multimedia summaries in the form of one-minute videos and…
Descriptors: Physics, Science Instruction, Teaching Methods, Undergraduate Students
Breaux, Rosanna; Dunn, Nicholas C.; Langberg, Joshua M.; Cusick, Caroline N.; Dvorsky, Melissa R.; Becker, Stephen P. – Grantee Submission, 2022
Objective: Researchers have speculated that the COVID-19 pandemic may expand the academic performance gap experienced by at-risk students. We examined learning experiences during the 2020-2021 school year and the impact the pandemic has had on high school student grade point average (GPA), including predictors of change in GPA from 2019-2020 to…
Descriptors: High School Students, Males, Attention Deficit Hyperactivity Disorder, COVID-19
dos Santos, Roberta Alvarenga; Paulista, Cássio Rangel; da Hora, Henrique Rego Monteiro – Technology, Knowledge and Learning, 2023
The demand for in-depth studies on educational data presupposes the application of technologies that allow data analysis of vast quantities, and subsequently, drawing relevant information and knowledge. The research objective herein is to employ data mining techniques on PISA databases to identify potential patterns that may explain the…
Descriptors: Foreign Countries, Achievement Tests, International Assessment, Secondary School Students

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