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Download full textGökhan Akçapinar; Erkan Er; Alper Bayazit – International Review of Research in Open and Distributed Learning, 2024
Lecture capture videos, a popular type of instructional content used by instructors to share course recordings online, play a significant role in educational settings. Compared to other educational videos, these recordings require minimal time and effort to produce, making them a preferred choice for disseminating course materials. Despite their…
Descriptors: Learner Engagement, Video Technology, Lecture Method, Student Behavior
Araka, Eric; Oboko, Robert; Maina, Elizaphan; Gitonga, Rhoda – International Review of Research in Open and Distributed Learning, 2022
With the increased emphasis on the benefits of self-regulated learning (SRL), it is important to make use of the huge amounts of educational data generated from online learning environments to identify the appropriate educational data mining (EDM) techniques that can help explore and understand online learners' behavioral patterns. Understanding…
Descriptors: Data Analysis, Metacognition, Comparative Analysis, Behavior Patterns
van den Beemt, Antoine; Buys, Joos; van der Aalst, Wil – International Review of Research in Open and Distributed Learning, 2018
The increasing use of digital systems to support learning leads to a growth in data regarding both learning processes and related contexts. Learning Analytics offers critical insights from these data, through an innovative combination of tools and techniques. In this paper, we explore students' activities in a MOOC from the perspective of personal…
Descriptors: Online Courses, Student Behavior, Behavior Patterns, Academic Achievement
Sun, Jerry Chih-Yuan; Lin, Che-Tsun; Chou, Chien – International Review of Research in Open and Distributed Learning, 2018
This study aims to apply a sequential analysis to explore the effect of learning motivation on online reading behavioral patterns. The study's participants consisted of 160 graduate students who were classified into three group types: low reading duration with low motivation, low reading duration with high motivation, and high reading duration…
Descriptors: Student Motivation, Student Behavior, Reading, Behavior Patterns
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
