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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
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Xiaohong Wen – Journal of Multilingual and Multicultural Development, 2024
This study investigated motivation in the context of L2 Chinese in the USA. A total of 120 college students took the survey and 27 of them participated in post-survey interviews. Through a mixed-methods design, the study captured interactions between motivation and the learning environment in the learning process. The results revealed six…
Descriptors: College Students, Second Language Learning, Mandarin Chinese, Student Motivation
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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
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Lars de Vreugd; Anouschka van Leeuwen; Marieke van der Schaaf – Journal of Computer Assisted Learning, 2025
Background: University students need to self-regulate but are sometimes incapable of doing so. Learning Analytics Dashboards (LADs) can support students' appraisal of study behaviour, from which goals can be set and performed. However, it is unclear how goal-setting and self-motivation within self-regulated learning elicits behaviour when using an…
Descriptors: Learning Analytics, Educational Technology, Goal Orientation, Learning Motivation
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Marcos Bella-Fernández; Manuel Suero Suñé; Alicia Ferrer-Mendieta; Beatriz Gil-Gómez de Liaño – Cognitive Research: Principles and Implications, 2025
Predicting quitting rules is critical in visual search: Did I search enough for a cancer nodule in a breast X-ray or a threat in a baggage airport scanner? This study examines the predictive power of search organization indexes like best-r, mean ITD, PAO, or intersection rates as optimal criteria to leave a search in foraging (looking for several…
Descriptors: Online Searching, Visual Aids, Mass Media, Search Strategies
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Muhammad Abbas; Farooq Ahmed Jam; Tariq Iqbal Khan – International Journal of Educational Technology in Higher Education, 2024
While the discussion on generative artificial intelligence, such as ChatGPT, is making waves in academia and the popular press, there is a need for more insight into the use of ChatGPT among students and the potential harmful or beneficial consequences associated with its usage. Using samples from two studies, the current research examined the…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Student Attitudes
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Berestova, Anna; Burdina, Gulnara; Lobuteva, Liudmila; Lobuteva, Alisa – Electronic Journal of e-Learning, 2022
One of the most important factors in successful e- learning is the motivation of the student. This article examines the very essence of student motivation in the context of e-learning and identifies the factors that influence it. The investigation involved 123 five-year students of the Elabuga Institute of Kazan Federal University and the I.M.…
Descriptors: Student Motivation, College Students, Electronic Learning, Educational Environment
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Kara, Feyza Meryem; Sarol, Halil – Higher Education Studies, 2021
Leisure participation, life satisfaction, and psychological needs stand out as concepts that are closely related to each other especially in exercise participation. The purpose of this study is to determine and analyze leisure involvement, basic psychological need satisfaction, and life satisfaction level concerning some variables among university…
Descriptors: Leisure Time, Psychological Needs, Life Satisfaction, College Students
Kimberly Beets – ProQuest LLC, 2024
Using descriptive statistics and logistic regressions, this study compared U.S. Census data from 22-24-year-old women in 1980 and 2020 to determine the individual and contextual variables most predictive of bachelor's degree attainment. The regressions were conducted for women overall, women who have ever enrolled in college, mothers, and mothers…
Descriptors: Females, Adults, College Graduates, Time to Degree
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Karakis, Özlem – International Journal of Curriculum and Instruction, 2022
This study aimed to determine whether lifelong learning tendency played a significant mediating role in the relationship between university students' future time perspective and online learning self-efficacy levels. It was structured in descriptive and relational survey models. 729 university students participated in the study. Online Learning…
Descriptors: Futures (of Society), Time Perspective, Electronic Learning, Self Efficacy
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Hidalgo-Fuentes, Sergio – Electronic Journal of Research in Educational Psychology, 2022
Problematic smartphone use has become a global problem with broad implications for education. The present meta-analysis studies the relationship between problematic smartphone use and procrastination in students. A literature search was conducted in Web of Science, PsycInfo and Scopus databases, obtaining a total of 18 articles that met the…
Descriptors: Handheld Devices, Time Management, Meta Analysis, Predictor Variables
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Au, Agnes; Caltabiano, Nerina Jane; Vaksman, Oleg – Cogent Education, 2023
This online survey study of 141 university students examined the impact of sense of belonging, resilience, time management skills, and academic performance on their psychological wellbeing. Results showed that resilience significantly predicted psychological well-being. Resilience and time management predicted environmental mastery. Both…
Descriptors: College Students, Student School Relationship, Resilience (Psychology), Time Management
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M. Fadli Nugraha; Yura Loscalzo – SAGE Open, 2024
Studyholism (SH) is a new potential clinical condition introduced in 2017 by Loscalzo and Giannini to refer to problematic overstudying, specifying that it might be associated with either high or low Study Engagement (SE). We aimed to analyze SH and SE's predictive role on academic resilience. We gathered 609 Indonesian youths, and we performed a…
Descriptors: Foreign Countries, College Students, Study Habits, Learner Engagement
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Pilotti, Maura A. E.; Nazeeruddin, Emaan; Alkuhayli, Halah; Elmoussa, Omar – Psychology in the Schools, 2022
The present research aimed to uncover individual differences that can be used to predict, at the start of a course, performance difficulties in female students of an understudied population who are at the beginning of their academic journey. Measures of active and passive procrastination and general self-efficacy were collected at the start of the…
Descriptors: Females, Academic Achievement, College Students, Grades (Scholastic)
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Soyer, Fikret – International Journal of Psychology and Educational Studies, 2019
The aim of this study was to investigate the leisure constraints perceived by the university students according to the level of smartphone addiction. In the study, in order to determine the constraints faced by the participants Leisure Constraints Scale developed by Alexandris and Carroll (1997), adapted to Turkish by Gürbüz, Öncü, and Emir (2012)…
Descriptors: Telecommunications, Handheld Devices, Addictive Behavior, Leisure Time
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