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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
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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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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
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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
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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
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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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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
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Ezra Putranda Setiawan – Teaching Statistics: An International Journal for Teachers, 2025
Undergraduate students outside Statistics major frequently take only one class of Basic Statistics or Introductory Statistics during their studies. As a consequence, many of them have little knowledge about advanced statistical methods, such as logistic regression, nonparametric procedures, and multivariate analysis, although they might need to…
Descriptors: Undergraduate Students, Introductory Courses, Learning Management Systems, Statistics Education
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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
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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
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Franziska Trede; Mais Fatayer; Suman Laudari – Higher Education Research and Development, 2024
This paper reports on the perceptions of university teachers of two consecutive disruptions: moving to a new learning management system that was immediately followed by the COVID-19 pandemic. The purpose of this research was to understand the role of planned and unplanned disruptions in facilitating or hindering the transformation of teaching…
Descriptors: Teacher Attitudes, College Faculty, Learning Management Systems, COVID-19
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Mitra Jazayeri; Xia Li; Eric Morris; Dan Laurence; Birgit Loch – International Journal of Mathematical Education in Science and Technology, 2024
Statistics anxiety is a significant problem for students' learning experience in the psychological sciences. This article explores a novel teaching methodological approach during the global pandemic to improve students' performance by reducing their statistics anxiety. The subject design and teaching methodological approach were developed based on…
Descriptors: Statistics, Anxiety, Teaching Methods, COVID-19
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Sonam Dhendup; Thinley Wangdi – Journal of Educators Online, 2023
This study is presented in two sections. A total of 436 students from five different colleges under the Royal University of Bhutan participated in this study. The first part involved validating the E-Learning Acceptance Measure (ELAM) proposed by Teo (2010) for its applicability in the context of the study by using Confirmatory Factor Analysis…
Descriptors: Foreign Countries, College Students, Electronic Learning, Validity
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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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Chun Liu – Education and Information Technologies, 2024
The objectives of this work are to investigate the impact of automating the student assessment process using the Schoology web-based learning management system as an example and determine its effectiveness and usability by performing a comparative analysis between the survey results of educators and students. The research methodology is based on…
Descriptors: Foreign Countries, College Faculty, College Students, Learning Management Systems
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