NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 18 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Engin Kutluay; Feride Karaca – Education and Information Technologies, 2025
An exploratory sequential mixed-method study is designed to develop and test a comprehensive model explaining the relationships between factors associated with smartphone addiction and high school students' academic achievement. Involving two main phases of qualitative and quantitative, focus group discussions with high school students and…
Descriptors: Models, Handheld Devices, Telecommunications, Addictive Behavior
Peer reviewed Peer reviewed
Direct linkDirect link
Karla Elizondo; Rafael Valenzuela; José V. Pestana; Nuria Codina – Psychology in the Schools, 2024
Procrastination is a delay in an intended course of action and, thus, a self-regulation failure hindering growth and well-being. Contrarily, self-regulation is a set of cognitive and metacognitive skills and strategies supporting goal-directed behavior. There is ongoing discussion regarding the extent to which (and the ways in which) promoting…
Descriptors: Self Management, College Students, Time Management, Student Motivation
Sun, Meng – ProQuest LLC, 2022
This qualitative, non-experimental meta-synthesis explored the antecedents, consequences, and interventions of both active and passive procrastination among university students. Based on the academic procrastination paradigm proposed by Schraw, Wadkins, and Olafson in 2007, the study synthesized and interpreted the findings of twelve purposefully…
Descriptors: College Students, Study Habits, Time Management, Influences
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Chung, Cheng-Yu; Hsiao, I-Han – International Educational Data Mining Society, 2021
The distributed practice effect suggests that students retain learning content better when they pace their practice over time. The key factors are practice dosage (intensity) and timing (when to practice and how in between). Inspired by the thriving development of image recognition, this study adopts one of the successful techniques,…
Descriptors: Models, Drills (Practice), Pacing, Computer Uses in Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Park, Jihyun; Yu, Renzhe; Rodriguez, Fernando; Baker, Rachel; Smyth, Padhraic; Warschauer, Mark – International Educational Data Mining Society, 2018
Time management is crucial to success in online courses in which students can schedule their learning on a flexible basis. Procrastination is largely viewed as a failure of time management and has been linked to poorer outcomes for students. Past research has quantified the extent of students' procrastination by defining single measures directly…
Descriptors: Time Management, Online Courses, Electronic Learning, Probability
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Yao, Mengfan; Sahebi, Shaghayegh; Behnagh, Reza Feyzi – International Educational Data Mining Society, 2020
Student procrastination, as the voluntary delay of intended work despite expecting to be worse off for the delay, is an important factor with potentially negative consequences in student well-being and learning. In online educational settings such as Massive Open Online Courses (MOOCs), the effect of procrastination is considered to be even more…
Descriptors: Large Group Instruction, Online Courses, Student Behavior, Study Habits
Jing Lu; Chun Wang; Ningzhong Shi – Grantee Submission, 2023
In high-stakes, large-scale, standardized tests with certain time limits, examinees are likely to engage in either one of the three types of behavior (e.g., van der Linden & Guo, 2008; Wang & Xu, 2015): solution behavior, rapid guessing behavior, and cheating behavior. Oftentimes examinees do not always solve all items due to various…
Descriptors: High Stakes Tests, Standardized Tests, Guessing (Tests), Cheating
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Hoernle, Nicholas; Gal, Kobi; Grosz, Barbara; Protopapas, Pavlos; Rubin, Andee – International Educational Data Mining Society, 2018
Simulations that combine real world components with interactive digital media provide a rich setting for students with the potential to assist knowledge building and understanding of complex physical processes. This paper addresses the problem of modeling the effects of multiple students' simultaneous interactions on the complex and exploratory…
Descriptors: Computer Simulation, Student Behavior, Interaction, Markov Processes
Peer reviewed Peer reviewed
Direct linkDirect link
Grunschel, Carola; Schopenhauer, Lena – Journal of College Student Development, 2015
In light of the drawbacks of academic procrastination, it is surprising that not all students want to decrease academic procrastination. To find out why students are motivated (or not) to change academic procrastination, we investigated the characteristics of 377 German students with different motivations to change based on the Transtheoretical…
Descriptors: Foreign Countries, Measures (Individuals), College Students, Student Motivation
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Lindblom-Ylänne, Sari; Saariaho, Emmi; Inkinen, Mikko; Haarala-Muhonen, Anne; Hailikari, Telle – Frontline Learning Research, 2015
The study explored university undergraduates' dilatory behaviour, more precisely, procrastination and strategic delaying. Using qualitative interview data, we applied a theory-driven and person-oriented approach to test the theoretical model of Klingsieck (2013). The sample consisted of 28 Bachelor students whose study pace had been slow during…
Descriptors: Time Management, Undergraduate Students, Interviews, Student Behavior
Peer reviewed Peer reviewed
Direct linkDirect link
Kandemir, Mehmet; Ilhan, Tahsin; Ozpolat, Ahmed Ragip; Palanci, Mehmet – Educational Research and Reviews, 2014
The goal of this research is to analyze the predictive power level of academic self-efficacy, self-esteem and coping with stress on academic procrastination behavior. Relational screening model is used in the research whose research group is made of 374 students in Kirikkale University, Education Faculty in Turkey. Students in the research group…
Descriptors: Foreign Countries, Self Efficacy, Self Esteem, Coping
Peer reviewed Peer reviewed
Direct linkDirect link
Fernex, Alain; Lima, Laurent; de Vries, Erica – Higher Education: The International Journal of Higher Education and Educational Planning, 2015
The purpose of this article is to study how students allocate time to different university and extra-university activities and to identify factors that might explain variability both between and within fields of study. At the heart of this exercise is the question of the time students dedicate to academic activities in competition with a whole…
Descriptors: Time Management, Time Factors (Learning), Study Habits, Learning Activities
Peer reviewed Peer reviewed
Direct linkDirect link
Strunk, Kamden K.; Cho, YoonJung; Steele, Misty R.; Bridges, Stacey L. – Learning and Individual Differences, 2013
Procrastination is an educational concern for classroom instructors because of its negative psychological and academic impacts on students. However, the traditional view of procrastination as a unidimensional construct is insufficient in two regards. First, the construct needs to be viewed more broadly as time-related academic behavior,…
Descriptors: Student Behavior, Time Management, Motivation, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Das, Bhibha M.; Evans, Ellen M. – Journal of American College Health, 2014
Objective: To examine weight management barriers, using the Health Belief Model, in first-year college students. Participants: First-year college students (n = 45), with data collected in April, May, and November 2013. Methods: Nominal group technique sessions (n = 8) were conducted. Results: First-year students recognize benefits to weight…
Descriptors: Body Weight, Nutrition, Physical Activities, Student Behavior
Peer reviewed Peer reviewed
Direct linkDirect link
Krumrei-Mancuso, Elizabeth J.; Newton, Fred B.; Kim, Eunhee; Wilcox, Dan – Journal of College Student Development, 2013
This study made use of a model of college success that involves students achieving academic goals and life satisfaction. Hierarchical regressions examined the role of six psychosocial factors for college success among 579 first-year college students. Academic self-efficacy and organization and attention to study were predictive of first semester…
Descriptors: Academic Achievement, Grade Point Average, Self Efficacy, Time Management
Previous Page | Next Page »
Pages: 1  |  2