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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
Men, Qiwei; Gimbert, Belinda; Cristol, Dean – International Journal of Mobile and Blended Learning, 2023
With the rapid expansion of mobile, blended, and seamless learning, researchers claim two factors, lack of self-discipline and poor time management, adversely impact learning performance. In online educational environments, reduced social interactions and low engagement levels generate high dropout rates. Self-regulated learning (SRL), the…
Descriptors: Metacognition, Independent Study, Dropout Rate, Time Management
Mutahar Qassem; Buthainah M. Al Thowaini – Education and Information Technologies, 2024
The optimal measurement of the effectiveness of online translation training courses necessitates a comprehensive evaluation of the translation process and product to fully understand the impact of such courses on trainee translators' behavior. In this study, we employed a one-group pretest-posttest design to assess the effect of a 12-week online…
Descriptors: Learning Analytics, Intervention, Translation, Online Courses
Gafni, Ruti; Goldstein, Anat – Interdisciplinary Journal of e-Skills and Lifelong Learning, 2020
Aim/Purpose: The purpose of this study is to discover usage differences in task performance by students of different cultures, by examining procrastination patterns from a national cultural perspective and exploring the effect of multicultural virtual teamwork on students' individual procrastination. Background: This study aims to examine…
Descriptors: Teamwork, Time Management, Intercultural Communication, Online Courses
Jo, Il-Hyun; Park, Yeonjeong; Yoon, Meehyun; Sung, Hanall – International Review of Research in Open and Distributed Learning, 2016
The purpose of this study was to identify the relationship between the psychological variables and online behavioral patterns of students, collected through a learning management system (LMS). As the psychological variable, time and study environment management (TSEM), one of the sub-constructs of MSLQ, was chosen to verify a set of time-related…
Descriptors: Online Courses, Time Management, Correlation, Behavior Patterns
Olszewski, Mikolaj; Lodzikowski, Kacper; Zwolinski, Jan; Warnakulasooriya, Rasil; Black, Adam – Research-publishing.net, 2016
The aim of this paper is to explore if English as a Foreign Language (EFL) learners' usage of an online workbook follows Benford's law, which predicts the frequency of leading digits in numbers describing natural phenomena. According to Benford (1938), one can predict the frequency distribution of leading digits in numbers describing natural…
Descriptors: Workbooks, English (Second Language), Second Language Learning, Prediction
Elvers, Greg C.; Polzella, Donald J.; Graetz, Ken – Teaching of Psychology, 2003
This study investigated the relation between dilatory behaviors and performance in students whom we randomly assigned to either an online or a traditional, lecture introductory psychology class. Both sections had full access to a class Web site. There were no reliable differences between the 2 sections of the class on the measures of…
Descriptors: Online Courses, Introductory Courses, Lecture Method, Psychology