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Waters, David; Jilakara, Rahul – Journal of College Science Teaching, 2023
This study investigates the relationship between study methods and exam performance in introductory physics courses. Data were collected over 3 years through surveys to examine students' study habits, perceived effectiveness of techniques, and the correlation between time allocation and exam grades. Results indicate that high-achieving students…
Descriptors: Physics, Science Tests, Study Habits, Correlation
Meng-Ting Lo; Fang-Hsin Hsu; Wen-Lan Chen – Educational Psychology, 2024
This study presents a tool to capture students' academic activities and engagement dynamics in university settings. It explores how strategies to manage time and study environments interact with contextual factors (i.e. study time, learning events, and study locations) in predicting students' concentration and cognitive learning strategies in 81…
Descriptors: Self Management, Learner Engagement, Time Management, Study Habits
Hongrui Liu; Yuxuan Liu; Meiling Yao – School Mental Health, 2024
The purpose of this study was to address the role of social comparison in determining individual development by exploring the relationship of four types of social comparison with academic persistence-procrastination and subjective well-being among Chinese adolescents (n = 530, M[subscript age] = 14.59) from both variable- and person-centered…
Descriptors: Well Being, Mental Health, Individual Development, Correlation
Allen, Hannah K.; Calhoun, Brian H.; Maggs, Jennifer L. – Journal of American College Health, 2022
Objective: It is not well understood whether heavy drinking interferes with academics on specific days or if this relationship simply reflects between-student differences. Participants: N = 736 college students completed 14 consecutive daily assessments during 7 semesters. Methods: Days were classified as non-drinking, moderate drinking, heavy…
Descriptors: Alcohol Abuse, Academic Achievement, Drinking, Student Attitudes
Sonja Kleter; Uwe Matzat; Rianne Conijn – IEEE Transactions on Learning Technologies, 2024
Much of learning analytics research has focused on factors influencing model generalizability of predictive models for academic performance. The degree of model generalizability across courses may depend on aspects, such as the similarity of the course setup, course material, the student cohort, or the teacher. Which of these contextual factors…
Descriptors: Prediction, Models, Academic Achievement, Learning Analytics
Min Young Doo; Yeonjeong Park – Journal of Computer Assisted Learning, 2024
Background: Despite the many advantages of flipped learning, it is challenging for educators to ensure that students complete the pre-class learning assignments before the in-class session. Objectives: Using a learning analytics approach, this study analysed students' pre-class video-watching behaviour in flipped learning with a focus on learners'…
Descriptors: Flipped Classroom, Video Technology, Student Behavior, Learning Strategies
Hsu, Chia-Yu; Horikoshi, Izumi; Li, Huiyong; Majumdar, Rwitajit; Ogata, Hiroaki – Smart Learning Environments, 2023
The development of technology enables diverse learning experiences nowadays, which shows the importance of learners' self-regulated skills at the same time. Particularly, the ability to allocate time properly becomes an issue for learners since time is a resource owned by all of them. However, they tend to struggle to manage their time well due to…
Descriptors: Foreign Countries, Grade 7, Independent Study, Time Factors (Learning)
Eva Blondeel; Patricia Everaert; Evelien Opdecam – Studies in Higher Education, 2024
Procrastination is a prevalent problem in higher education, leading to lower performance. Procrastination is often linked with low class attendance and little class preparation, which are two important foundations to process learning materials. Hence, interventions are recommended to overcome procrastination. One promising intervention is nudging.…
Descriptors: Time Management, Student Behavior, Student Improvement, Attendance
Alex C. Garn; Andreas Stenling – Educational Psychology, 2024
This study investigated daily motivation regulation as a multilevel mediator of undergraduate students' intrinsic and extrinsic motivation and academic functioning. Undergraduate students (N = 124) completed measures on motivation, motivation regulation, and study time for 10 consecutive days leading up to a statistics exam. Bayesian multilevel…
Descriptors: Student Motivation, Prediction, Academic Achievement, Undergraduate Students
Julsar T. Calonia; Dickson P. Pagente; Daisy Jane C. Desierto; Rodrigo T. Capio; Jeacelle Ann P. Tembrevilla; Charish A. Guzman; Ariel Jay S. Nicor – Online Submission, 2023
Effective time management, encompassing prioritization, overcoming procrastination, and balancing socialization, is crucial for academic success as it enables students to optimize their productivity, focus on important tasks, and maintain a healthy work-life balance, leading to improved academic achievements. Thus, the present study tried to…
Descriptors: Time Management, Study Habits, Student Attitudes, Social Life
Fuyi Yang; Jianzhong Xu; José Carlos Núñez; Chuang Wang; Luxi Pu – Journal of Educational Research, 2024
Informed by multiple theoretical perspectives pertaining to academic procrastination, this investigation examined multilevel models aimed to predict homework procrastination using the data from 1,072 middle schoolers in China. Our model incorporated student gender, homework motivation, homework approach, homework behavior, and time allocated to…
Descriptors: Foreign Countries, Middle School Students, Grade 7, Grade 8
Bilal Kaya – British Journal of Guidance & Counselling, 2024
Smartphone addiction adversely affects adolescent psychological wellbeing. However, little is known about the role of academic procrastination and school burnout in this relationship. The main objective of the current study was to examine the associations between smartphone addiction and psychological wellbeing, a multiple mediation analysis that…
Descriptors: Addictive Behavior, Handheld Devices, Burnout, Time Management
Cursi Campos, Heloisa – Journal of Teaching and Learning with Technology, 2020
Students usually procrastinate, which might increase anxiety levels and decrease test scores. Previous studies used between-groups comparisons to explore ways to deter procrastination, a design that did not allow analyses of individual procrastination patterns. In the present two studies, college students' individual self-regulation and…
Descriptors: Time Management, College Students, Student Behavior, Motivation Techniques
Yu, Yang; Jiang, Yingjie; Li, Feifei – Metacognition and Learning, 2020
Metamemory refers to the metacognitive awareness of one's own memory status. Previous research has shown that item value plays a dominant role in self-regulated study (e.g., strategic choices regarding when, what, and how to study). In spite of extensive research on the effects of item value on in learners' study behaviour, less is known about the…
Descriptors: Study Habits, Time Management, Time Factors (Learning), Metacognition
Fincham, Frank; May, Ross – College Student Journal, 2021
Academic procrastination is widespread among college students, leads to poorer academic performance and has been related to concurrent stress. Because the direction of effects between procrastination and stress is unclear, two longitudinal studies were conducted. Study 1 (n = 454) showed that mid-semester levels of stress were related to end of…
Descriptors: Stress Variables, College Students, Study Habits, Intervention