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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
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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
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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
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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
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
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Xu, Jianzhong – European Journal of Psychology of Education, 2021
Whereas it is often a challenge to keep students motivated and interested in academic tasks, it is more of a challenge to have students stay motivated and interested in academic tasks outside school during nonschool hours--homework. Prior research, however, has largely overlooked the reasons or purposes students have for doing homework and their…
Descriptors: Homework, Goal Orientation, Student Interests, Mathematics Achievement
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Williams, Keith; Williams, Hefin – Educational Review, 2021
Nine English primary schools piloted homework tasks that utilised mathematical problems set in "everyday" contexts to generate specific forms of parental involvement in children's learning and, as a result, make mathematics homework enjoyable. Homework is pedagogically and socioculturally significant because of the effect it has on…
Descriptors: Foreign Countries, Elementary School Students, Mathematics Skills, Problem Solving
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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
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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
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Shinogaya, Keita – International Journal of Higher Education, 2021
This study examined how to enhance the quality of students' question generating and to encourage their spontaneous information searches after classroom instruction in university. The teacher assigned One Minute Paper as homework, and students answered three questions; "Q1: What was the most important thing that you learned today?",…
Descriptors: Information Seeking, Teaching Methods, Universities, College Students
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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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Nuic, Ines; Glažar, Saša Aleksej – EURASIA Journal of Mathematics, Science and Technology Education, 2020
E-learning strategies for the teaching unit Structure and States of Matter were developed. Students' achievements and the percentages of misconceptions were compared between experimental groups taught using web-based learning material (WBLM) used as homework after conventional teaching at school (EG1), and at school settings (EG2) with the control…
Descriptors: Educational Technology, Technology Uses in Education, Elementary School Science, Science Instruction
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Pérez, Andrea; Collado, Jesús; del Mar García de los Salmones, María; Herrero, Ángel; San Martín, Héctor – Journal of the Scholarship of Teaching and Learning, 2019
This paper explores a causal model, using Structural Equation Modelling (SEM), in order to understand how the perceived effectiveness of the 'flipped classroom' and students' satisfaction with this technique can be affected by students' engagement in the 'flipped classroom' activities as well as the complexity and task orientation of such…
Descriptors: Instructional Effectiveness, Business Communication, Causal Models, Student Satisfaction
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Langdon, Jody; Sturges, Diana – Journal of the Scholarship of Teaching and Learning, 2018
The goal of the study was to determine the effects of the Flipped Classroom Model (FCM) on students' course experience, basic need satisfaction, motivation, and academic performance in an undergraduate Research Methods course for exercise science majors. One section received instruction in a Traditional Lecture Model (TLM), while the other section…
Descriptors: Educational Technology, Technology Uses in Education, Homework, Video Technology
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