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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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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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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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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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Lorraine Laguerre Van Sickle; Regina F. Frey – Chemistry Education Research and Practice, 2025
General chemistry is often the first course taken by students interested in careers in STEM and health fields, and therefore, is considered an essential course for the success and retention of students in these fields. Prior studies have shown study habits and skills to be related to student performance in college-level courses, including STEM…
Descriptors: Chemistry, Student Behavior, Study Habits, STEM Education
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Elena C. Papanastasiou; Michalis P. Michaelides – Large-scale Assessments in Education, 2024
Test-taking behavior is a potential source of construct irrelevant variance for test scores in international large-scale assessments where test-taking effort, motivation, and behaviors in general tend to be confounded with test scores. In an attempt to disentangle this relationship and gain further insight into examinees' test-taking processes,…
Descriptors: Grade 4, Testing, Student Behavior, Test Wiseness
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Erdinç Duru; Murat Balkis; Sibel Duru – European Journal of Psychology of Education, 2024
This study investigates the mediating mechanisms that play a crucial role in the relationship between fear of failure and academic satisfaction and between fear of failure and procrastination. The study sample consists of 292 undergraduate students enrolled in different departments of the university. Within the scope of this study, emotion…
Descriptors: Fear, Failure, Student Satisfaction, Emotional Response
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Zepei Wu; Man Jiang – Higher Education Studies, 2024
This study investigates the relationship between academic procrastination, self-control, time management, and academic self-efficacy among vocational college students. Grounded in self-control theory, the study utilized convenience sampling to conduct an online survey of 994 students from vocational colleges in Henan Province, China. Descriptive…
Descriptors: Time Management, Vocational Education, Student Behavior, Self Control
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Yujie Zhou; Liping Deng – Australasian Journal of Educational Technology, 2024
Smartphone multitasking is prevalent in university classrooms, yet the nature and characteristics of this behavior have not been sufficiently understood. This empirical study explores in-class smartphone multitasking behaviors using diverse research approaches to achieve a more authentic and holistic understanding of this pervasive behavior.…
Descriptors: Handheld Devices, Telecommunications, Student Behavior, Time Management
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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
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Jiutong Luo; Jie Cao; Pui-sze Yeung; Jo Ng; Meng Sun – Education and Information Technologies, 2024
The negative effects of media multitasking have been addressed in previous studies, and the widespread adoption of online learning to control the outbreak of COVID-19 has further increased concerns about the media use, especially media multitasking, among adolescent students. However, very few studies have explored the protective factors against…
Descriptors: Mass Media Use, Time Management, Adolescents, Secondary School Students
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Amin Khalifeh; Mohammad Hamdi Al Khasawneh; Mohammad Alrousan; Ahmad Samed Al-Adwan; Firas Wahsheh; Fandi Yousef Omeish; Husam Ananzeh – Journal of Information Technology Education: Research, 2024
Aim/Purpose: This research aims to empirically investigate and answer the following research questions: Do students' self-control and smartphone e-learning readiness influence smartphone-cyberloafing, and does gender play a role in this relationship? Background: Research indicates that many students' learning time is wasted due to cyberloafing,…
Descriptors: Foreign Countries, Student Behavior, Self Control, Telecommunications
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