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Showing all 11 results Save | Export
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Alexandros Liapis; Vicky Maratou; Theodor Panagiotakopoulos; Christos Katsanos; Achilles Kameas – Interactive Learning Environments, 2023
The current era of (e-)learning invests heavily on Massive Open Online Courses (MOOCs). Various dedicated MOOC platforms are used, such as Coursera, Udacity, and Open edX. Moodle, one of the most popular open-source Learning Management Systems (LMS), has been also used for MOOC implementations. Usability and user experience (UX) are very important…
Descriptors: MOOCs, Usability, Learning Management Systems, Computer Software Evaluation
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Rotelli, Daniela; Monreale, Anna – Journal of Learning Analytics, 2023
The increased adoption of online learning environments has resulted in the availability of vast amounts of educational log data, which raises questions that could be answered by a thorough and accurate examination of students' online learning behaviours. Event logs describe something that occurred on a platform and provide multiple dimensions that…
Descriptors: Learning Analytics, Learning Management Systems, Time on Task, Student Behavior
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Halvoník, Dominik; Kapusta, Jozef; Munk, Michal – Interactive Learning Environments, 2023
The main aim of this paper is to present results of an experimental test focused on the validity and effectiveness of composed methodology aimed at increasing the student's attention in Virtual Learning Environment. Areas of presented methodology which were subject of our research is students behavior during learning. The behavioral part of…
Descriptors: Electronic Learning, Time on Task, Learning Management Systems, Attention
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Gabriela Trindade Perry; Marlise Bock Santos – Journal of Computer Assisted Learning, 2024
Background: Instances of academic dishonesty are common in online learning environments because difficulties in their detection result in considerably low degrees of risks. However, if not identified, the noise introduced by dishonest learners in MOOCs' clickstream data could lead to biased results and conclusions in scientific research.…
Descriptors: Foreign Countries, MOOCs, Distance Education, Electronic Learning
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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
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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
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Kosareva, Larisa; Demidov, Lev; Ikonnikova, Irina; Shalamov?, Olga – Interactive Learning Environments, 2023
This study examined the efficiency of teaching Russian as a foreign language (L2) in two groups of students -- the first benefited from the e-learning platform's capabilities (experimental), and the second underwent a traditional in-class course. Students learning Russian as L2 at People's Friendship University of Russia (Moscow, Russia) were…
Descriptors: Russian, Second Language Learning, Second Language Instruction, Comparative Analysis
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Aziman Abdullah – International Society for Technology, Education, and Science, 2023
This study explores the potential of using screen time data in learning management systems (LMS) to estimate student learning time (SLT) and validate the credit value of courses. Gathering comprehensive data on actual student learning time is difficult, so this study uses LMS Moodle logs from a computer programming course with 490 students over 16…
Descriptors: Time Factors (Learning), Handheld Devices, Computer Use, Television Viewing
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Beena Joseph; Sajimon Abraham – Knowledge Management & E-Learning, 2023
Currently, the majority of e-learning lessons created and disseminated advocate a "one-size-fits-all" teaching philosophy. The e-learning environment, however, includes slow learners in a noticeable way, just like in traditional classroom settings. Learning analytics of educational data from a learning management system (LMS) have been…
Descriptors: Electronic Learning, Learning Management Systems, Slow Learners, Educational Environment
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John Mingoia; Brianna Le Busque – Journal of Learning Development in Higher Education, 2022
Online higher education is experiencing growth in enrolment and development which creates a need to continually evaluate the efficacy of online course delivery. Prior research reported that performance in online education is equivalent to traditional face-to-face delivery; however, minimal research exists to identify which elements of course…
Descriptors: Foreign Countries, Undergraduate Students, Psychology, Online Courses
Schonberg, Christina – Online Submission, 2021
The goal of this study was to further evaluate the impact of IXL on learning outcomes in math and ELA. Using a quasi-experimental design with matched treatment and control groups, we analyzed data from 296 public schools in Colorado during the 2018-2019 school year. The analysis of IXL Math included 186 schools (93 treatment, 93 control), and the…
Descriptors: Program Evaluation, Program Effectiveness, Comparative Analysis, Public Schools