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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
Bälter, Olle; Zimmaro, Dawn – Interactive Learning Environments, 2018
It is challenging for students to plan their work sessions in online environments, as it is very difficult to make estimates on how much material there is to cover. In order to simplify this estimation, we have extended the Keystroke-level analysis model with individual reading speed of text, figures, and questions. This was used to estimate how…
Descriptors: Keyboarding (Data Entry), Data Analysis, Time Management, Online Courses
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
Jacobi, Laura – Journal of University Teaching and Learning Practice, 2017
The purpose of this study was to explore the perspectives of students regarding what was effective about the way in which the asynchronous discussions were structured in an upper level online organizational communication course. Surveys from 27 student participants were used, with questions focused upon the structure of discussions in the online…
Descriptors: Discourse Analysis, Computer Mediated Communication, Online Courses, Student Attitudes
Kuiper, Alison; Solomonides, Ian; Hardy, Lara – Distance Education, 2015
This paper reports on an investigation into how staff teaching in compressed courses can encourage student engagement and enhance student use of learning time, despite significant restraints of time as well as distance. Typically these courses (described here as units) are expected to have comparable learning outcomes to their full-semester…
Descriptors: Time on Task, Learner Engagement, Time Management, Outcomes of Education
Bonk, Curtis J.; Lee, Mimi Miyoung – Journal of Learning for Development, 2017
This research targeted the learning preferences, goals and motivations, achievements, challenges, and possibilities for life change of self-directed online learners enrolled in a massive open online course (MOOC) related to online teaching hosted by Blackboard using CourseSites. Data collection included a 40-item survey, of which 159 MOOC…
Descriptors: Learning Motivation, Academic Achievement, Independent Study, Open Education
Powell, Karan; Helm, Jennifer Stephens; Layne, Melissa; Ice, Phil – Administrative Issues Journal: Education, Practice, and Research, 2012
Technological and pedagogical advances in distance education have accentuated the necessity for higher education to keep pace regarding institutional infrastructures. Each infrastructure--driven by a common mission to provide quality learning--interprets quality according to standards established by various governmental and accrediting entities.…
Descriptors: Online Courses, Distance Education, Higher Education, National Standards