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Kala Krishna; Pelin Akyol; Esma Ozer – National Bureau of Economic Research, 2025
Exams are designed to rank students objectively by their abilities, including elements such as time limits, the number and difficulty of questions, and negative marking policies. Using data from a lab-in-field experiment, we develop and estimate a model of student behavior in multiple-choice exams that incorporates the effects of time constraints…
Descriptors: Multiple Choice Tests, Student Behavior, Response Style (Tests), Time
Süleyman Avci; Jianzhong Xu; Mustafa Özgenel – Psychology in the Schools, 2025
Homework is a widely used educational practice, but the ways in which students approach it vary considerably and influence its effectiveness. Understanding these behavioral differences is crucial to designing effective and appropriate homework practices. The purpose of this study was to examine students' homework behavior and determine its…
Descriptors: Homework, Student Behavior, Academic Achievement, Student Motivation
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
Steven L. Wise; Megan R. Kuhfeld; Marlit Annalena Lindner – Applied Measurement in Education, 2024
When student achievement is assessed, we seek to elicit a student's maximum performance -- a goal requiring the assumption that the student is fully engaged. Otherwise, to the extent that disengagement occurs, test performance is likely to suffer. Effectively managing test-taking disengagement requires an understanding of the testing conditions…
Descriptors: Testing, Attention Span, Learner Engagement, Time Factors (Learning)
Martín-Antón, Luis J.; Almedia, Leandro S.; Sáiz-Manzanares, María-Consuelo; Álvarez-Cañizo, Marta; Carbonero, Miguel A. – Assessment & Evaluation in Higher Education, 2023
Procrastination in academic activities is common amongst university students, and has negative consequences for their personal as well as academic development. As a result, there is a need for valid -- yet at the same time brief and clear-cut -- measurement tools that enable the specific procrastinating behaviour of university students to be…
Descriptors: Psychometrics, Time Management, Measures (Individuals), Foreign Countries
Lili Michelle Smith – Online Submission, 2021
This work examined the relationship between academic entitlement and noncompliance among college students using trauma or adverse childhood experiences to moderate the relationship. Additionally, this study explored how gender, enrollment type (full-time vs. part-time), and type of student (residential vs. online) impacted noncompliance. This…
Descriptors: College Students, Student Attitudes, Student Characteristics, Compliance (Psychology)
Lili Michelle Smith – ProQuest LLC, 2021
This work examined the relationship between academic entitlement and noncompliance among college students using trauma or adverse childhood experiences to moderate the relationship. Additionally, this study explored how gender, enrollment type (full-time vs. part-time), and type of student (residential vs. online) impacted noncompliance. This…
Descriptors: College Students, Student Attitudes, Student Characteristics, Compliance (Psychology)
Almazyad, Reem Ali – ProQuest LLC, 2022
This study quantitatively and qualitatively measured gender and age differences in cognitive, affective, and behavioral engagement while playing video games among the University of North Texas (UNT) undergraduate students. Also, it examined the relationship between time spent playing video games and the three engagement states. For the…
Descriptors: Undergraduate Students, Gender Differences, Age Differences, Student Behavior
Maoyan She; Yiyang Xu; Yuyan Luo; Peng Hu – SAGE Open, 2025
With the global rise of digital education, fragmented academic reading has attracted increasing attention, as an emerging learning mode among university students in various countries. This study explores the factors influencing university students' acceptance and use of fragmented academic reading through a comprehensive framework that integrates…
Descriptors: Undergraduate Students, Foreign Countries, Student Attitudes, Reading
Taipe-Quispe, Alicia; Heredia-Mamani, Yulissa; Turpo-Gebera, Osbaldo; Igartua, Juan-José – Journal of Technology and Science Education, 2023
The incidence of consumption on Facebook around the world and its implications for university students is something that has necessarily been studied in the scientific literature (Gil-Flores, De Besa-Gutierrez & Garzón-Umerenkova, 2019). Fewer and far between are works focused on the study of social networks and academic procrastination in a…
Descriptors: Foreign Countries, General Education, Time Management, Social Media
Erkan, Mert; Munusturlar, Süleyman; Koçak, Osman Göktug – International Journal of Curriculum and Instruction, 2023
In order to socialize, get rid of stress and the routine of daily life, relax, and return to work more efficiently, people plan their vacation time in advance, work for this plan, save money and even go into debt. In this regard, this study aims to examine the relationship between the planned behavior levels of university students who tend to…
Descriptors: Foreign Countries, Behavior Theories, College Students, Tourism
Ibrahim Durmus – Turkish Online Journal of Distance Education, 2025
The study aims to identify the factors that may influence university students' artificial intelligence addiction in educational activities. The study sample consists of 415 students currently studying at Bayburt University. The snowball sampling method was used in the research. In the study, an electronic survey was conducted with university…
Descriptors: Foreign Countries, College Students, Artificial Intelligence, Addictive Behavior
Ayesha Farooq; Tanveer Shah; Farwa Amin – Journal of Educators Online, 2024
The present research was carried out to explore the relationship between academic procrastination and academic performance among virtual and conventional university students. The role of the demographic characteristics of the participants was also explored. Nonprobability convenience sampling technique was used to select a sample of 200 students.…
Descriptors: Time Management, Student Behavior, Academic Achievement, In Person Learning
Colette Christiansen; Carol Calvert; Clare Morris – Educational Researcher, 2024
Previous studies in higher education have found that a considerable number of students do not access feedback. Here, we use assessment system data on nearly 300,000 assignment submissions to statistically analyze demographic and timing factors leading to lower likelihood of feedback collection. The most significant factors were student…
Descriptors: Influences, Student Behavior, Feedback (Response), Undergraduate Students
Liu, Yan; Deng, Lisa; Lin, Lin; Gu, Xiaoqing – Interactive Learning Environments, 2023
With the rapid development of mobile devices and web-based technologies, it becomes common for students to switch between different tasks during study time. However, it remains unclear how the transition between on-task and off-task states happens and how digital devices affect the process. This study examines college students' independent study…
Descriptors: Independent Study, Student Behavior, Behavior Patterns, Time on Task

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