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Devkan Kaleci – Journal of Educational Technology and Online Learning, 2025
The integration of artificial intelligence (AI) technologies into Learning Management Systems (LMS) represents a transformative advancement in contemporary education, enhancing personalization, efficiency, and interactivity. This study presents a systematic methodology for integrating AI technologies into the Moodle LMS. Moodle 4.5 was selected as…
Descriptors: Artificial Intelligence, Learning Management Systems, Educational Technology, Technology Integration
Helen Benson; Keith Heggart; Kylie A. Williams; Chloé Smit; Patrick Abela – TechTrends: Linking Research and Practice to Improve Learning, 2025
This article investigates the effectiveness of a newly developed online tool for assessing and improving the design and accessibility of Learning Management System (LMS) sites in Higher Education. The study employs a mixed-methods approach, incorporating both quantitative and qualitative data. Results from 25 subject coordinators and 3 peer…
Descriptors: Blended Learning, Learning Management Systems, Higher Education, Usability
Amjid Khan; Arshad Hussain Afridi; Muhammad Kamal Khan; Pervaiz Ahmad – Asian Association of Open Universities Journal, 2025
Purpose: This empirical study was carried out to examine predictors of perceived usefulness of the learning management system (LMS) from the viewpoint of distance learning students of Allama Iqbal Open University (AIOU) Islamabad. Design/methodology/approach: This study used a positivist paradigm and a correlation research design. The information…
Descriptors: Learning Management Systems, Student Attitudes, Distance Education, Predictor Variables
Nina Brandau; Sigrid Hartong – Discourse: Studies in the Cultural Politics of Education, 2025
Critical research on data visualisations in education has so far mostly focused on the representation of numeric data in dashboards or graphs. Consequently, the question of how schools are made visible and (re)enacted through visual structures on data-mediated interfaces more broadly -- what we call Graphic Data Visualisations (GDV) -- has…
Descriptors: Visual Aids, Learning Management Systems, Design, Educational Practices
Hani Y. Ayyoub; Omar S. Al-Kadi – IEEE Transactions on Learning Technologies, 2024
Education is a dynamic field that must be adaptable to sudden changes and disruptions caused by events like pandemics, war, and natural disasters related to climate change. When these events occur, traditional classrooms with traditional or blended delivery can shift to fully online learning, which requires an efficient learning environment that…
Descriptors: Cognitive Style, Individualized Instruction, Learning Management Systems, Artificial Intelligence
Shynta Amalia; Muhammad Iqbal Ramdhani; Syafryadin; Eka Apriani; Saad Boulahnane – LEARN Journal: Language Education and Acquisition Research Network, 2024
Through the application of the experimental research method and the factorial design, the purpose of this study was to investigate the effects of the authoring tools SoftChalk medium and Hot Potatoes medium in the learning management system (LMS), as well as the types of readers (Avid, Passive, and Reluctant), on the reading comprehension…
Descriptors: Learning Management Systems, Reading Comprehension, Foreign Countries, Reading Improvement
Emine Cabi – Education and Information Technologies, 2025
Learning Management System (LMS) can track student interactions with digital learning resources during an online learning activity. Learners with different goals, motivations and preferences may exhibit different behaviours when accessing these materials. These different behaviours may further affect their learning performance. The purpose of this…
Descriptors: Academic Achievement, Electronic Learning, Learning Management Systems, Student Behavior
Wahyuddin; Maharida; Muhammad Awal Nur – Anatolian Journal of Education, 2025
This research analyzed the effect of learning management on learning activities both directly and through moderating learning readiness variables. This research was an ex-post facto type of quantitative research carried out at the Universitas Muhammadiyah Makassar. The research variables consist of exogenous variables, namely learning management,…
Descriptors: Learning Management Systems, Learning Activities, Learning Readiness, College Students
Felicitas Macgilchrist; Juliane Jarke – Discourse: Studies in the Cultural Politics of Education, 2025
AI-powered predictive systems have high margins of error. However, data visualisations of algorithmic systems in education and other social fields tend to visualise certainty, thus invisibilising the underlying approximations and uncertainties of the algorithmic systems and the social settings in which these systems operate. This paper draws on a…
Descriptors: Educational Technology, Visual Aids, Learning Management Systems, Prediction
Eddy Triswanto Setyoadi; Syaad Patmanthara; Heru Wahyu Herwanto; Hartarto Junaedi; Alexander Wirapraja; Titasari Rahmawati – Electronic Journal of e-Learning, 2025
The adoption of digital learning systems is closely related to user engagement and system relevance. This quantitative research aims to explore the factors influencing students' switching intention from traditional Learning Management Systems (LMS) to a gamified LMS platform, using the Push-Pull-Mooring (PPM) framework. A conceptual model was…
Descriptors: Foreign Countries, College Students, Higher Education, Gamification
Sven Judel; Jasper vom Felde; Ulrik Schroeder – Technology, Knowledge and Learning, 2024
This article presents the first iteration of the video analytics system VA4ME that enables the logging of video interactions in Moodle without the need to provide the videos by a separate plugin or website. Instead, the logging plugin injects, if allowed within a course, JavaScript code that logs video interactions and transforms these logs into…
Descriptors: Video Technology, Learning Management Systems, Information Storage, Educational Technology
Joe Noteboom – Learning, Media and Technology, 2025
This article builds on emerging accounts of the 'student as user' to explore platformisation in higher education from the perspectives of students. While existing scholarship on platformisation and assetisation has highlighted important concerns about the distribution of power and value in contemporary higher education, much of this literature…
Descriptors: Foreign Countries, Educational Technology, Usability, Learning Management Systems
Shaofeng Wang; Zhuo Sun – Education and Information Technologies, 2025
Artificial Intelligence (AI) is increasingly being integrated into educational settings, with Intelligent Personal Assistants (IPAs) playing a significant role. However, the psychological impact of these AI assistants on fostering active learning behaviors needs to be better understood. This research study addresses this gap by proposing a…
Descriptors: Artificial Intelligence, Active Learning, Redundancy, Role
Jeff Freels; Rajagopal Sankaranarayanan – Online Learning, 2025
This study explores the influence of Learning Management System (LMS) course site design on student failure and withdrawal rates (DFW) in undergraduate courses in a residential hybrid educational context. We used multiple linear regression analysis to explore the interactions between course-level DFW, enrollment, student satisfaction, and counts…
Descriptors: Learning Management Systems, Instructional Design, Undergraduate Students, Academic Failure
Chaewon Lee; Lan Luo; Shelbi L. Kuhlmann; Robert D. Plumley; Abigail T. Panter; Matthew L. Bernacki; Jeffrey A. Greene; Kathleen M. Gates – Journal of Learning Analytics, 2025
The increasing use of learning management systems (LMSs) generates vast amounts of clickstream data, opening new avenues for predicting learner performance. Traditionally, LMS predictive analytics have relied on either supervised machine learning or Markov models to classify learners based on predicted learning outcomes. Machine learning excels at…
Descriptors: Electronic Learning, Prediction, Data Analysis, Artificial Intelligence

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