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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
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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
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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
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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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Jamal Kay B. Rogers; Tamara Cher R. Mercado; Ronald S. Decano – Journal of Education and Learning (EduLearn), 2025
Poor academic performance remains among the most concerning educational issues, especially in higher education and online learning. To address the concern, institutions like the University of Southeastern Philippines (USeP) leverage educational data mining (EDM) techniques to generate relevant information from learning management systems (LMS)…
Descriptors: Foreign Countries, Learning Management Systems, Academic Achievement, Data Analysis
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Zulherman; Supriansyah; Desvian Bandarsyah; Mohamed Nazreen Shahul Hamid – Journal of Education and Learning (EduLearn), 2025
Online and distance learning technology with the learning management system (LMS) is an example of the application of online learning models at universities, which is the impact of technological developments. However, advances in LMS technology still need to be implemented in universities, the problem of university readiness being the main factor.…
Descriptors: Learning Management Systems, Models, Universities, Electronic Learning
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Yang Tian; Tak Jie Chan; Sharifah Sofiah Syed Zainudin; Farhana Muslim Mohd Jalis – Journal of Educators Online, 2025
This study aims to identify the mediating effect of collaborative learning on the relationship between Learning Management System (LMS) usage and academic performance among undergraduate students in a public university through the constructivism theory. The study employed a purposive sampling survey method, and 381 valid respondents were…
Descriptors: Learning Management Systems, Cooperative Learning, Academic Achievement, Undergraduate Students
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Yifat Davidoff; Wurud Jayusi – Education and Information Technologies, 2025
Higher Education has serious challenges regarding academic online teaching-learning-evaluation methods and tools. This study examined 980 students from diverse disciplines about their social-emotional-psychological (SEP) perceptions. We also examined the presence and desirability of 14 TLE (teaching-learning-evaluation) tools in the online…
Descriptors: Instructional Effectiveness, Electronic Learning, Learning Strategies, Student Attitudes
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Martin Ebner; Sarah Edelsbrunner; Katharina Gasplmayr; Katharina Hohla-Sejkora; Philipp Leitner; Sandra Schön; Behnam Taraghi – International Journal on E-Learning, 2025
This paper explores the challenges and first experiences of implementing federated virtual learning management within the European University Alliance "Unite!". Through the lens of Learning Tools Interoperability (LTI), the study investigates the complexities inherent in connecting Learning Management Systems (LMS) across diverse…
Descriptors: Foreign Countries, Learning Management Systems, Universities, Electronic Learning
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Anuradha Peramunugamage; Uditha W. Ratnayake; Shironica P. Karunanayaka; Ellen Francine Barbosa; William Simão de Deus; Chulantha L. Jayawardena; R. K. J. de Silva – Journal of Learning for Development, 2025
Interactions among students in online learning environments are difficult to monitor but can be crucial for their academic performance. Moodle is one of the best and most popular online learning platforms, where its log records can reveal important information on students' engagement and the respective performance. This study examines the degree…
Descriptors: Cooperative Learning, Interaction, Electronic Learning, Learning Management Systems
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Xinyu Li; Yizhou Fan; Tongguang Li; Mladen Rakovic; Shaveen Singh; Joep van der Graaf; Lyn Lim; Johanna Moore; Inge Molenaar; Maria Bannert; Dragan Gaševic – Journal of Learning Analytics, 2025
The focus of education is increasingly on learners' ability to regulate their own learning within technology-enhanced learning environments. Prior research has shown that self-regulated learning (SRL) leads to better learning performance. However, many learners struggle to productively self-regulate their learning, as they typically need to…
Descriptors: Learning Analytics, Metacognition, Independent Study, Skill Development
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Umberto Dello Iacono; George Santi – International Journal of Mathematical Education in Science and Technology, 2025
In this paper, we report on a study involving third-year undergraduate mathematics students who were taking a course in Mathematics Education. The participants, prospective teachers, discussed typical misconceptions in mathematics. They first worked in Moodle environment communicating in small groups and with the whole class using Quick Chat…
Descriptors: Learning Management Systems, Student Attitudes, Mathematics Education, Misconceptions
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Melissa R. Becker; Anna Fox; Lisa Colvin – Journal of Instructional Research, 2025
In recent years, online education in institutions of higher learning has exponentially expanded the application of digital approaches to learning. The Learning Management Systems (LMS) used by online instruction provide a variety of tools to enhance learning with peers and instructors (Yount & Neild, 2022). One such tool, Asynchronous…
Descriptors: Learning Management Systems, Electronic Learning, Asynchronous Communication, Discussion Groups
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Linghong Li; Wayne F. Patton – Journal of Educational Technology Systems, 2025
The evolving landscape of higher education demands integrating advanced technologies to foster engaging and inclusive learning environments. This paper examines the practical integration of Stellarium, a virtual planetarium software, and ChatGPT, an AI conversational agent, in an asynchronous online undergraduate astronomy course. Stellarium…
Descriptors: Electronic Learning, Astronomy, Science Education, Artificial Intelligence
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Alez Lagos-Castillo; Andrés Chiappe; María-Soledad Ramirez-Montoya; Diego Fernando Becerra Rodríguez – Contemporary Educational Technology, 2025
It may seem that learning platforms and systems are a tired topic for the academic community; however, with the recent advancements in artificial intelligence, they have become relevant to both current and future educational discourse. This systematic literature review explored platforms and software supporting personalized learning processes in…
Descriptors: Technology Uses in Education, Classroom Environment, Individualized Instruction, Technological Advancement
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