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Nurullah Türkcan; Seval Kizildag-Sahin – International Journal of Contemporary Educational Research, 2025
Academic procrastination represents a significant challenge frequently encountered among high school students, negatively impacting their academic outcomes. It is posited that levels of hopelessness and academic resilience may serve as predictors of academic procrastination. Consequently, the objective of this study is to examine the extent to…
Descriptors: Foreign Countries, High School Students, Time Factors (Learning), Time Management
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
Chenae Christensen-Duerden; Sarah Coyne – Journal of Youth Development, 2025
The objective of this study is to examine social media mindfulness and other social media habits as predictors of depression in adolescents. As depression and poor mental health increase for American adolescents, so does the research surrounding the positive outcomes associated with mindfulness. It is possible that mindfulness could be an…
Descriptors: Social Media, Metacognition, Predictor Variables, Depression (Psychology)
Ruoyu Fang; Robert White – Journal of Continuing Higher Education, 2025
This study explores academic procrastination among postgraduate distance learners, a topic that has received limited attention. Through qualitative interviews with participants, the authors conducted thematic analysis on their experiences. Three overarching themes emerged: perception, reasons, and reflection of academic procrastination among…
Descriptors: Distance Education, Student Attitudes, Time Management, Graduate Students
Robert A. Nash – Assessment & Evaluation in Higher Education, 2025
It is widely believed that an essential property of feedback's effectiveness is its timeliness, and students frequently report untimely feedback as a significant source of dissatisfaction in their studies. Most UK universities have responded by implementing institutional policies that stipulate a time-period within which students should receive…
Descriptors: Foreign Countries, College Students, School Policy, Feedback (Response)
Ayla Hendekci; Ilknur Aydin Avci – Psychology in the Schools, 2025
This study aims to determine the extent of leisure participation, digital addiction, and phubbing tendencies among adolescents. This study was descriptive correlational study. The study was conducted with a sample of 410 adolescents in a province in Northern X. As the data collection tools, an Information Form, the Leisure Activity Participation…
Descriptors: Adolescents, Leisure Time, Addictive Behavior, Computer Use
Kuikui Han; Huimei Zhang; Ting Xie; Taozhen Jia; Sitong Chen; Changchun Lin; Weiping Hu – Psychology in the Schools, 2025
In a rapidly evolving world, grit and creativity in Science, Technology, Engineering, and Mathematics (STEM) are crucial attributes for the future development of adolescent students. However, the psychological mechanisms underlying this relationship remains unclear. This study presents a new theoretical framework that explores how STEM-specific…
Descriptors: Academic Persistence, Adolescents, STEM Education, Creativity
Hamzeh Dodeen; Siham Alharballeh – Journal of Applied Research in Higher Education, 2025
Purpose: This study aimed at identifying the prevalence of statistic anxiety among students in social sciences programs and analyzing the relationship between statistics anxiety and four key variables: attitude toward statistics, statistics self-efficacy, achievement in statistics and academic procrastination. Design/methodology/approach: Method a…
Descriptors: Statistics, Anxiety, Social Sciences, Student Attitudes
Thelma E. Uzonyi; Elizabeth R. Crais; Linda R. Watson; Sallie W. Nowell; Grace T. Baranek – Journal of Autism and Developmental Disorders, 2025
This study explored the salient characteristics of transactions within parent-child engagement and investigated relationships between transactional characteristics and future identification of autism. The main aims of the study were to (1) examine if parents/children and their initial behaviors impact the length of transaction; (2) determine…
Descriptors: Autism Spectrum Disorders, Parent Child Relationship, Behavior, Interaction
Lili Aunimo; Janne Kauttonen; Marko Vahtola; Salla Huttunen – Journal of Computing in Higher Education, 2025
Institutions of higher education possess large amounts of learning-related data in their student registers and learning management systems (LMS). This data can be mined to gain insights into study paths, study styles and possible bottlenecks on the study paths. In this study, we focused on creating a predictive model for study completion time…
Descriptors: Data Collection, Learning Management Systems, Study Habits, Time on Task
Mustafa Enes Isikgöz; Turan Sezan; Abdullah Yüksel; Mustafa Öztunç – SAGE Open, 2025
Academic procrastination remains a common problem among university students, yet most research overlooks discipline-specific dynamics. The purpose of this study was to examine the structural relationships between social media addiction, academic self-efficacy, and academic procrastination among sports science students, with a particular focus on…
Descriptors: Foreign Countries, Addictive Behavior, Social Media, Student Behavior
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
Wikke J. van der Putten; Audrey J. J. Mol; Tulsi A. Radhoe; Carolien Torenvliet; Joost A. Agelink van Rentergem; Annabeth P. Groenman; Hilde M. Geurts – Autism: The International Journal of Research and Practice, 2025
Camouflaging ([un]consciously hiding one's autism traits) is hypothesized to be an underlying mechanism explaining elevated levels of mental health difficulties in autistic adults. As previous studies investigating this relationship were all cross-sectional, the direction of this association remains unclear. Therefore, we investigated whether (1)…
Descriptors: Autism Spectrum Disorders, Symptoms (Individual Disorders), Mental Health, Mental Disorders
Hu Zhiqiao; Jiang Wenyuan; Niu Duan – Psychology in the Schools, 2025
This study investigates the relationship among student engagement, learning strategies, and academic achievement. Data were collected from 4,825 eighth-grade students in Guangzhou, China, using the Delaware Student Engagement Scale (DSES) and the Motivated Strategies for Learning Questionnaire (MSLQ). Structural Equation Modeling (SEM) with…
Descriptors: Learning Strategies, Learner Engagement, Predictor Variables, Academic Achievement
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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