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…

The deepened understandings of the Double Reduction policy have instigated a transition from focusing on reduction in homework quantity to emphasizing homework quality in Chinese basic education. The digital transformation in education offers new opportunities to address the current issues with homework management, such as unscientific design of…

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…

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…

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…

This essay challenges the broad, ongoing neoliberal transformation of higher education as expressed in contemporary literacy pedagogies based in and around Learning Management Systems. Building on Chantal Mouffe's conception of agonistic democracy, we seek to model and encourage an alternative--a critical literacy that highlights competing…

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…

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…

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…

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,…

The goal of this research is to develop a 21st-century learning management model tailored for early childhood teachers in Roi Et Province. The sample group includes teachers of early childhood education. A simple random sample from the sample is chosen to achieve this. 400 persons. The research employed questionnaires, an assessment form, and…

The ever-changing landscape of distance learning AI and learning analytics transforms engagement and efficiency in education. AI systems analyze behavior and performance data to provide real-time feedback for improved outcomes. Learning analytics further help educators to identify at-risk students while fostering better teaching strategies. By…

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…

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…

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…