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Sepiadou, Iwanna; Metallidou, Panayiota – European Journal of Psychology of Education, 2023
The aim of the study was to investigate the predictive value of adaptive and maladaptive dimensions of perfectionism for academic procrastination in university students and the possible moderating role of different dimensions of academic hardiness. The total sample was consisted of 966 undergraduate students from various departments. They were…
Descriptors: Academic Persistence, Personality Traits, Time Management, Predictor Variables
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
Khee Hoong Ho; Wan Marzuki Wan Jaafar; Yusni Mohamad Yusop; Soo Ting T’ng – International Society for Technology, Education, and Science, 2024
The three-step Parsonian approach has lasted more than a century and paved the foundation to the modern career counselling, which emphasized the importance of knowing the self, the environment, and "true reasoning". The use of assessments remains as an integral part of career counselling. Therefore, the current study aims to carefully…
Descriptors: Foreign Countries, Undergraduate Students, Self Efficacy, Career Choice
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
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
Kathleen Fuegen; Gregory T. Hatchett – Teaching of Psychology, 2024
Background: Research on the experiences of tenured faculty employed at teaching-intensive institutions is lacking. Objective: We gathered data regarding how tenured psychology faculty allocate time. We identify variables that predict time allocation and report associations between time allocation and job satisfaction. Method: We surveyed 386…
Descriptors: Time Management, College Faculty, Tenure, Psychology
Martinie Marie-Amélie; Rebecca Shankland – Cogent Education, 2023
Poor academic performance is known to be linked to the tendency to procrastinate. The latter is thought to reflect deficits in effort regulation and study time management (i.e. learning-related resources), but some recent results have suggested that it could stem from psychological inflexibility. The main objective of the present study was thus to…
Descriptors: College Freshmen, Foreign Countries, Time Management, Study Habits
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
Mutahar Qassem – Interactive Learning Environments, 2024
This article reports on an empirical study on cognitive processes [i.e. (dis) fluency, temporal management of the translation process, and revision] and their relationship with fluency and adequacy. Based on Jakobsen and Schou's (1999) computational model of human translation, the author utilizes keylogging data retrieved from a Translog-II-based…
Descriptors: Cognitive Processes, Language Fluency, Translation, English
Ma, Xiaohan; Meng, Dexin; Zhu, Liwei; Xu, Huiying; Guo, Jing; Yang, Limin; Yu, Lei; Fu, Yiming; Mu, Li – Journal of American College Health, 2022
Objective: Bedtime procrastination is a type of unhealthy sleep behavior, but whether it affects sleep quality remains unknown. The current study aimed to examine the relationship between bedtime procrastination and poor sleep quality among Chinese college students. Participants: A total of 1550 Chinese undergraduates participated and effectively…
Descriptors: Foreign Countries, Undergraduate Students, Sleep, Time Management
The Possible Contribution of Procrastination and Perception of Self-Efficacy to Academic Achievement
Shaked, Lea; Altarac, Haia – Journal of Further and Higher Education, 2023
While procrastination is a widely recognised phenomenon, current research sometimes contends that it is not by definition negative or that absence of procrastination is necessarily positive. Accordingly, a characterological distinction has been made between passive procrastinators and active procrastinators; the latter resembling…
Descriptors: Foreign Countries, Time Management, Correlation, Self Efficacy
Murat Çinar; Dilek Dogan; Ömer Demir – Education and Information Technologies, 2025
This study aims to examine how external locus of control (eLoC) impacts students' academic procrastination behaviors in asynchronous distance education with regard to compulsive internet habits, cyberloafing, disrespect for copyright, learning goal orientation, and self-efficacy. The sample comprised a total of 916 undergraduate students.…
Descriptors: Predictor Variables, Time Management, Online Courses, Locus of Control
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
Lishchynska, Maryna; Palmer, Catherine; Lacey, Seán; O'Connor, Declan – European Journal of Science and Mathematics Education, 2023
Taught to non-mathematics undergraduates (business, science, engineering, and other technical programs), service mathematics is commonly associated with poor exam performance and low skill/knowledge attainment. The primary objective of the present study was to examine the range of factors thought to impact mathematics performance in higher…
Descriptors: Student Motivation, Mathematics Achievement, College Freshmen, Introductory Courses
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