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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
Mathias Norqvist; Bert Jonsson; Johan Lithner – Educational Studies in Mathematics, 2025
In mathematics classrooms, it is common practice to work through a series of comparable tasks provided in a textbook. A central question in mathematics education is if tasks should be accompanied with solution methods, or if students should construct the solutions themselves. To explore the impact of these two task designs on student behavior…
Descriptors: Attention, Algorithms, Creativity, Mathematics Education
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
Na-Ra Nam; Sue-Yeon Song – Innovations in Education and Teaching International, 2025
This empirical study uses a random forest algorithm to examine the factors that influence learners' persistence in online learning at a prominent Korean institution. The data were collected from students who began their studies in Spring 2021, and encompassed a range of variables including individual attributes, academic engagement, academic…
Descriptors: Adult Students, Academic Persistence, Foreign Countries, Influences
Reysen, Rebekah; Reysen, Matthew; Reysen, Stephen – College Teaching, 2021
In the present study, we examined the relationship between academic entitlement, nomophobia, and cellular phone usage during class. Students reported the amount of time spent on their phones during class, frequency of checking phones during class, academic entitlement, and dimensions of nomophobia (cell phone addiction). Academic entitlement and…
Descriptors: Handheld Devices, Telecommunications, Anxiety, College Students
Brown, Stephen; Baume, David – Innovations in Education and Teaching International, 2023
This paper reports on responses of 645 students (N = 6540) on 4 University of London (UoL) distance learning courses to a variety of course components. Published research on best practice in student learning stresses the value of active learning and of student collaboration. By contrast, our respondents report that they regard more active…
Descriptors: Cooperative Learning, Group Activities, Student Attitudes, Learning Activities
Linnea M. Horvath; Ryan D. Burns; Timothy A. Brusseau; Yang Bai; Julie E. Lucero; Jessica L. King Jensen – American Journal of Health Education, 2024
Background: Health coaching sessions that incorporate goal setting may help improve college students' health behaviors. Purpose: This study examined whether specific goal-setting practices moderated changes in health behaviors during an online wellness intervention in college students. Methods: Participants were 90 college students recruited from…
Descriptors: College Students, Health Behavior, Health Programs, Health Promotion
Jost, Nathanael S.; Jossen, Sina L.; Rothen, Nicolas; Martarelli, Corinna S. – Education and Information Technologies, 2021
Ongoing digital transformations facilitate the conduct of online courses and distance learning. In this study, it was aimed to investigate the role of learners' personalities and behaviors in their academic success (exam scores) in a blended learning setting (combination of distance learning and face-to-face learning). Next to individual…
Descriptors: Blended Learning, Student Behavior, Personality, Academic Achievement
Kirsten Lansey; Shirin Antia; Stephanie MacFarland; Chelsea Carr – Journal of Inclusive Postsecondary Education, 2022
Postsecondary education students with intellectual and multiple disabilities are often supported by same-aged peer mentors. A single-subject multiple baseline design was used to examine the relationship between training with and without performance feedback and a peer mentor's fidelity of implementing a student's function-based intervention plan…
Descriptors: Students with Disabilities, Intellectual Disability, Multiple Disabilities, Peer Teaching
Fiorella, Logan; Pilegard, Celeste – Educational Psychology, 2021
Two experiments investigated how writing an explanation after studying a multimedia lesson influences restudy behavior (eye movements) and learning. In Experiment 1, college students who wrote a retention-based explanation ('Explain how the car's brake system works') spent more time focusing on the text and less time on the picture during the…
Descriptors: College Students, Multimedia Instruction, Student Behavior, Writing Assignments
Deng, Liping; Ku, Kelly Yee Lai; Kong, Qiuyi – Interactive Technology and Smart Education, 2019
Purpose: The study aims to give a descriptive account of university students' engagement with non-learning-related activities during class time and explore the relationship between off-task multitasking and learning. The predictive factors for off-task multitasking from individual, social and class-related dimensions are also examined.…
Descriptors: Telecommunications, Handheld Devices, Time on Task, Time Management
Stadler, Matthias; Kolb, Nicola; Sailer, Michael – Distance Education, 2021
To slow the spread of COVID-19, many universities have had to move to online teaching, which entails changing exams from in-person to online. Online exams can facilitate cheating when there is no direct proctoring. To provide some form of control in unproctored exams, Cluskey et al. (2011) suggested having substantial time pressure; yet there are…
Descriptors: COVID-19, Pandemics, School Closing, Online Courses
Wood, Eileen; Mirza, Amna; Shaw, Lindsay – Journal of Computing in Higher Education, 2018
Media multitasking is a common artifact of the increasing presence of technologies in classrooms. However, research indicates learning decrements when students engage in inappropriate or "off-task" media multitasking during class time. This is a concern as many innovative teaching practices call for the use of technologies. The present…
Descriptors: Educational Technology, Technology Uses in Education, Time on Task, Student Behavior
Mangaroska, Katerina; Sharma, Kshitij; Giannakos, Michail; Træteberga, Hallvard; Dillenbourg, Pierre – Journal of Learning Analytics, 2018
This study investigates how multimodal user-generated data can be used to reinforce learner reflection, improve teaching practices, and close the learning analytics loop. In particular, the aim of the study is to utilize user gaze and action-based data to examine the role of a mirroring tool (i.e., Exercise View in Eclipse) in orchestrating basic…
Descriptors: Eye Movements, Student Behavior, Computer Science Education, Programming
Chen, Zhongzhou; Lee, Sunbok; Garrido, Geoffrey – International Educational Data Mining Society, 2018
The amount of information contained in any educational data set is fundamentally constrained by the instructional conditions under which the data are collected. In this study, we show that by redesigning the structure of traditional online courses, we can improve the ability of educational data mining to provide useful information for instructors.…
Descriptors: Online Courses, Course Organization, Data Analysis, Instructional Design