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Kapoor, Hansika; Inamdar, Vedika; Kaufman, James C. – Journal of Academic Ethics, 2022
Students display resistance, including academic dishonesty, at all educational levels. In the present study, we qualitatively examined the extent and incidence of academic misbehaviors by 101 US college students (M[subscript age] = 22.98 years, SD = 6.70). Using a combination of self-reported closed- and open-ended questions, we developed a…
Descriptors: Student Behavior, College Students, Cheating, Student Attitudes
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Hsu, Chia-Yu; Horikoshi, Izumi; Li, Huiyong; Majumdar, Rwitajit; Ogata, Hiroaki – Smart Learning Environments, 2023
The development of technology enables diverse learning experiences nowadays, which shows the importance of learners' self-regulated skills at the same time. Particularly, the ability to allocate time properly becomes an issue for learners since time is a resource owned by all of them. However, they tend to struggle to manage their time well due to…
Descriptors: Foreign Countries, Grade 7, Independent Study, Time Factors (Learning)
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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
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Mika Paananen; Anne Karhu; Asko Tolvanen; Hannu Savolainen – Journal of Positive Behavior Interventions, 2025
Check-in/Check-out (CICO) behavioral support has been implemented in Finnish School-Wide Positive Behavior Interventions and Support (SWPBIS) schools to cater to students who require personalized behavior support beyond the universal level. Previous studies have demonstrated the effectiveness of CICO as a behavioral support method. However,…
Descriptors: Intervention, Program Effectiveness, Foreign Countries, Elementary School Students
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Berkan Celik; Kursat Cagiltay – Education and Information Technologies, 2024
MOOC learners come from different backgrounds, and they have various motivations and intentions for taking online courses. This study examines learner intentions with subsequent behaviors and the reasons for the intention-behavior gap in MOOCs. A total of four MOOCs from BilgeIs MOOC Portal was used in this study. This quantitative study with a…
Descriptors: Students, MOOCs, Intention, Student Behavior
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Baines, Ed; Blatchford, Peter – British Educational Research Journal, 2023
Breaktimes are ubiquitous in English schools. Research suggests they have social value for children, but school staff often have a range of concerns about breaktimes and tend to undervalue them. However, there is little understanding about these times, not least because data are not collected about their organisation and characteristics. This…
Descriptors: Foreign Countries, Educational Trends, Recess Breaks, Lunch Programs
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Aleksandra Maslennikova; Daniela Rotelli; Anna Monreale – Journal of Learning Analytics, 2023
Students organize and manage their own learning time, choosing when, what, and how to study due to the flexibility of online learning. Each person has unique learning habits that define their behaviours and distinguish them from others. To investigate the temporal behaviour of students in online learning environments, we seek to identify suitable…
Descriptors: Learning Analytics, Online Courses, Time Management, Self Management
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Nina Bergdahl; Melissa Bond; Jeanette Sjöberg; Mark Dougherty; Emily Oxley – International Journal of Educational Technology in Higher Education, 2024
Educational outcomes are heavily reliant on student engagement, yet this concept is complex and subject to diverse interpretations. The intricacy of the issue arises from the broad spectrum of interpretations, each contributing to the understanding of student engagement as both complex and multifaceted. Given the emergence and increasing use of…
Descriptors: Learner Engagement, College Students, Student Behavior, Educational Technology
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Tugba Kamali Arslantas; Muhammed Emre Yaylaci; Mehmet Özkaya – E-Learning and Digital Media, 2024
The current study aims to examine the association between digital literacy (DL), Internet addiction (IA) and cyberloafing (CL) levels of higher education students in Turkey. In addition, the study examined the correlation between "daily Internet use," "initial Internet usage," and "purpose of Internet use" with the…
Descriptors: Addictive Behavior, Technological Literacy, Internet, College Students
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Pavlov, Alexis; Duhon, Gary; Dawes, Jillian – Journal of Behavioral Education, 2023
Interventions that match demands to ability can enhance both academic performance and behavioral performance. However, it is unknown whether the instructional match or subsequent increases in engagement with the instructional material differentially impacts learning. The current study evaluated the effect of task difficulty on on-task behavior and…
Descriptors: Students, Learner Engagement, Difficulty Level, Learning
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Gisu Sanem Öztas; Gökhan Akçapinar – Educational Technology & Society, 2025
This study aimed to develop a prediction model to classify students based on their academic procrastination tendencies, which were measured and classified as low and high using a self-report tool developed based on the students' assignment submission behaviours logged in the learning management system's database. The students' temporal learning…
Descriptors: Time Management, Student Behavior, Online Courses, Learning Management Systems
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Fatma Kurker; Abdullah Surucu – Psychology in the Schools, 2024
Academic procrastination is the failure to perform academic tasks on time or not doing at all. It can cause undesirable consequences for students' academic development and mental health. It has a complex structure that includes cognitive and emotional components in addition to its behavioral dimension. This study seeks to answer whether social…
Descriptors: Addictive Behavior, Social Media, Time Management, Student Behavior
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René Lobo-Quintero; Roberto Sánchez-Reina; Davinia Hernández-Leo – Journal of Learning Analytics, 2024
Computer-Supported Collaborative Learning (CSCL) is recognized as an effective methodology for fostering social interaction mediated by technology in ways that potentially trigger learning. The successful implementation of CSCL hinges on factors such as the scripting mechanics for activity sequencing proposed by Collaborative Learning Flow…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Learner Engagement, Student Participation
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Ji Young Kim – Analysis of Verbal Behavior, 2024
Delayed consequences have important academic implications for younger children. Conceptualized within behavior analysis as delay discounting, researchers have examined verbal behavior interventions to improve tolerance to delayed outcomes. In this preliminary study, the correlation between verbal repertoires and tolerance to delayed consequences…
Descriptors: General Education, Grade 2, Elementary School Students, Time
Rebecca Dore; Nan Xiao; Robin Sayers; Kelly Purtell; Laura Justice – Grantee Submission, 2023
We examined whether media use measured using time diaries is related to preschoolers' academic and social/behavioral skills. Children (N = 179) completed direct assessments of academic skills in the fall and spring, and teachers reported on social and behavioral skills. Parents/caregivers completed a 24-hr time diary in the spring, from which…
Descriptors: Preschool Children, Interpersonal Competence, Student Behavior, Preschool Education
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