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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
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
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
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
Gelman, Ben; Revelle, Matt; Domeniconi, Carlotta; Johri, Aditya; Veeramachaneni, Kalyan – International Educational Data Mining Society, 2016
Recent studies of MOOCs demonstrate their ability to reach a large number of users, but also caution against the high rate of dropout. Some have looked closely at MOOC participation in order to better understand how and when users start to disengage, and, if they remain engaged, in what activities they participate. Most of this prior work relies…
Descriptors: Large Group Instruction, Online Courses, Student Behavior, Learner Engagement
Furr, Daniel; Williamson, Manda – Pearson, 2019
Revel is an interactive learning environment intended to help students prepare for class by reading a little, then doing a little. Within Revel, there are several different learning products. Each product consists of instructional text interspersed with videos, interactive elements and assessments. Revel for "Psychology," 1st edition by…
Descriptors: Psychology, Undergraduate Students, Teaching Methods, Blended Learning
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
Levy, Yair; Ramim, Michelle M. – Interdisciplinary Journal of E-Learning and Learning Objects, 2012
Procrastination appears to be an inevitable part of daily life, especially for activities that are bounded by deadlines. It has implications for performance and is known to be linked to poor personal time management. Although research related to procrastination as a general behavior has been well established, studies assessing procrastination in…
Descriptors: Computer Assisted Testing, Time Management, Student Behavior, Data Collection
College Students' Attention Behaviors during Independent Study and Course Level Academic Performance
Wagner, Linda G. – ProQuest LLC, 2012
Students in college make daily choices about how to use their independent study time, including choices about allocation of attention. Based on theoretical considerations and clinical studies, attention and the dividing of attention through multitasking is thought to have a relationship to performance levels. Research is only beginning to explore,…
Descriptors: Independent Study, Time Management, Attention, Academic Achievement
Tallman, Clifford W.; Reed, Robert – Spectrum, 1985
Observations of student behavior in the elementary and secondary classrooms of Ohio's Otsego Local School District revealed significant differences in the kinds and quantities of off-task behaviors among students at different grade levels, and may help educators develop methods for increasing learning time. The observation instrument is included.…
Descriptors: Age Differences, Classroom Environment, Elementary Secondary Education, Student Behavior

Wambach, Cathrine; Brothen, Thomas – Research and Teaching in Developmental Education, 2001
Examines the performance of four developmental students in a psychology class, each of whom demonstrated a specific type of procrastination: (1) avoidance; (2) arousal; (3) fear of failure; and (4) disorganized or rebellious. States that students were alike in their tendency to postpone work, but they varied in levels of anxiety, timing of work,…
Descriptors: Community Colleges, Self Management, Student Behavior, Student Characteristics
Gump, Paul V. – 1985
This document offers perspectives on the concepts of environment and order related to the classroom setting. Environment is explained as the physical milieu, action structure, and the fit between these phenomena. Order can refer to the system being "in order" or to the participants being on task. Examples are presented of relationships…
Descriptors: Class Organization, Classroom Environment, Classroom Techniques, Discipline

Horne, William R. – Learning Assistance Review, 2000
Describes a study on time management that involved 57 third-year university students who first estimated, then recorded how they allocated weekly time between work, maintenance (sleep, meals, etc.) and leisure. Finds that students spent a mean of 40 hours per week on schoolwork. Offers suggestions on allocating student time. (Contains 19…
Descriptors: Academic Achievement, Community Colleges, Planning, Scheduling
Steere, Bob F.; Wiley, Robert C. – 1985
This packet provides the concerned teacher and supervisor with materials for learning how to determine the percentage of time their students are actively engaged on task. The materials include definitions of key terms, a list of situations during which students must be considered unengaged, sample forms to be used in classroom observations of…
Descriptors: Classroom Observation Techniques, Classroom Techniques, Elementary Secondary Education, Faculty Development

Henderson, Jan – Journal of Vocational Education Research, 1984
A study was conducted to quantify the laboratory time-on-task behavior of students enrolled in selected programs of vocational horticulture and to relate variables to time-on-task behavior. Standing idle was the most frequent reason for coding behavior off task. Male pupils had higher time-on-task scores than female pupils. (CT)
Descriptors: Behavior Patterns, Classroom Environment, Females, Horticulture
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