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Maria Theobald – British Journal of Educational Psychology, 2025
Background and Aims: The hypothesis that study strategies can compensate for less study time in predicting learning outcomes has often been proposed but rarely tested empirically. Methods: In the present study, 231 university students reported their daily perceived time spent on self-study, study strategies (planning, monitoring, concentration and…
Descriptors: Study Skills, Study Habits, Learning Strategies, Time on Task
Skylar J. Laursen; Dorina Sluka; Chris M. Fiacconi – Metacognition and Learning, 2024
Previous literature suggests learners can adjust their encoding strategies to match the demands of the expected test format. However, it is unclear whether other forms of metacognitive control, namely, study time allocation and restudy selection, are also sensitive to expected test format. Across four experiments we examined whether learners…
Descriptors: Test Format, Test Wiseness, Metacognition, Study Habits
Christopher A. Wolters; Anna C. Brady; Hyun Ji Lee – Educational Psychology Review, 2025
Personal organization, productivity, and efficient use of one's time represents one of the most ubiquitous and popular subjects within the self-help media marketed to general audiences. Consistent with this view, researchers have established that increased or more effective time management is predictive of improved well-being and performance…
Descriptors: Time Management, Academic Achievement, Student Motivation, Independent Study
Jennifer S. Feenstra; Chika Nwaelugo; Jessica Nibbelink; Andrew De Noble – Discover Education, 2024
Study skills are important for success in college. However, students may not be aware of or willing to use effective strategies such as spaced practice and self-testing. This replication-extension study of Susser and McCabe (Susser and McCabe in Instr Sci 41:345-363, 2013) supports their original findings regarding spaced practice and extends the…
Descriptors: College Students, Study Habits, Learning Strategies, Metacognition
Jhon Jairo Ramírez-Echeverry; Felipe Restrepo-Calle; Stephanie Torres Jiménez – European Journal of Education, 2025
This study investigates the self-regulated learning strategies employed by students in computer programming courses. Utilising the Questionnaire on Learning Strategies in Computer Programming (CEAPC), the research aims to identify specific strategies used by students. The findings reveal a variety of effective learning strategies, including…
Descriptors: Independent Study, Learning Strategies, Programming, Computer Science Education
Martin Hecht; Julia-Kim Walther; Manuel Arnold; Steffen Zitzmann – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Planning longitudinal studies can be challenging as various design decisions need to be made. Often, researchers are in search for the optimal design that maximizes statistical power to test certain parameters of the employed model. We provide a user-friendly Shiny app OptDynMo available at https://shiny.psychologie.hu-berlin.de/optdynmo that…
Descriptors: Longitudinal Studies, Best Practices, Operating Expenses, Research Design
José Gómez-Galán; Eloy López-Meneses; David Cobos-Sanchiz – Discover Education, 2024
The COVID-19 pandemic forced the digitalization of education to be accelerated to continue the teaching-learning processes in confined populations. The irruption of this fact caused the evolution that had previously been occurring in the integration of digital technologies, and in general information and communication technologies (ICT), in…
Descriptors: Internet, COVID-19, Pandemics, Educational Change
Lorraine Laguerre Van Sickle; Regina F. Frey – Chemistry Education Research and Practice, 2025
General chemistry is often the first course taken by students interested in careers in STEM and health fields, and therefore, is considered an essential course for the success and retention of students in these fields. Prior studies have shown study habits and skills to be related to student performance in college-level courses, including STEM…
Descriptors: Chemistry, Student Behavior, Study Habits, STEM Education
Patrick Bijsmans; Jeanine de Bruin; Afke Groen – European Journal of Higher Education, 2025
The transition from high school to university often amounts to a muddled process, making it both an exciting and challenging time for many undergraduate students. Integrating both academically and socially is key in this respect. Social support from peers and teaching staff, but also from family and friends, can have a decisive impact. A learning…
Descriptors: Social Support Groups, High School Graduates, College Freshmen, Problem Based Learning
Neeraj Yadav – Online Submission, 2024
Students have different study habits from one another and from location to location. It is a crucial component of education since students' study practices have a big effect on their achievement in academics. Parents, educators, administrators, and members of the public are increasingly concerned about the poor level of mathematical comprehension…
Descriptors: Mathematics Education, Mathematics Skills, Study Habits, Mathematics Achievement
Sara Mashat – ProQuest LLC, 2024
Ferrari (2010) stated 20-25% of people self-identified as chronic procrastinators, which is a common self-regulatory failure involving stalling the initiation or completion of important duties or responsibilities until the last minute, after a predetermined deadline, or indefinitely (Dryden, 2000). This study is the first attempt to translate and…
Descriptors: Arabic, Time Management, Self Management, Psychometrics
Saleh Alhazbi; Afnan Al-ali; Aliya Tabassum; Abdulla Al-Ali; Ahmed Al-Emadi; Tamer Khattab; Mahmood A. Hasan – Journal of Computer Assisted Learning, 2024
Background: Measuring students' self-regulation skills is essential to understand how they approach their learning tasks in order to identify areas where they might need additional support. Traditionally, self-report questionnaires and think aloud protocols have been used to measure self-regulated learning skills (SRL). However, these methods are…
Descriptors: Learning Analytics, Independent Study, Higher Education, College Students
Rachel M. Taylor; Noel A. Card – International Journal of Behavioral Development, 2024
Longitudinal studies provide developmental science with invaluable information about how variables and the associations between variables change across time, but typically give limited attention to the length of time over which that change occurs. The present study re-analyzed data from previously published meta-analyses of longitudinal data…
Descriptors: Meta Analysis, Literature Reviews, Longitudinal Studies, Incidence
J. Pablo Rosas Baldazo; Yasmín Á. Ríos-Solís; Romeo Sánchez Nigenda – Interactive Learning Environments, 2024
Learning path generation involves the computation of learning trajectories to personalize academic instruction to prevent school problems. The Educational Planning Problem (EPP) considers generating personalized learning paths by scheduling activities that satisfy expected grades while minimizing plans makespan. In this work, we propose two…
Descriptors: Study Habits, Scheduling, Time Management, Computer Software
Suleyman Avci; Mustafa Cakir; Tuncay Akinci – Journal on Efficiency and Responsibility in Education and Science, 2024
This study aims to examine the effects of self-control and future time perception on social media addiction and academic procrastination and determine whether social media addiction affects academic achievement through academic procrastination. A total of 559 university students participated. The participants' most commonly used social media…
Descriptors: Addictive Behavior, Social Media, Time Management, Academic Achievement