The COVID-19 pandemic not only affected our health and social life in many aspects, but it also changed the classical way of training in classrooms and education preferences of society. As a solution various e-learning platforms were developed and preferred by many educational institutions where the individuals had the opportunity to try the…

Since Personalized Instruction increases the motivation, interest, performance and attitude of the student, it is aimed to develop an instructional management system that can be adapted to the individual, taking into account the prior knowledge level of the person who provides the personalization of all instructional materials. The project is…

The time students spend in a learning management system (LMS) is an important measurement in learning analytics (LA). One of the most common data sources is log files from LMS, which do not directly reveal the online time, the duration of which needs to be estimated. As this measurement has a great impact on the results of statistical models in…

Learning Management Systems (LMS) are in use for years and are still crucial assets for both teachers and students for teaching and learning. There is a wide variety of LMS available for institutions to administer learning in and out of the classes. However, deciding to pick an LMS to integrate is a critical decision that affects both instructors…

Learning management systems form an integral part of the learning environments of most universities and support a wide range of diverse activities and operations. However, learning management systems are often regulated by institutional policies that address the general use of Information Technology and Communication services rather than specific…

In this work, 29 features were defined and implemented to be automatically extracted and analysed in the context of NeuroK, a learning platform within the neurodidactics paradigm. Neurodidactics is an educational paradigm that addresses optimization of the learning and teaching process from the perspective of how the brain functions. In this…

Learning Management Systems (LMS) lack automated intelligent components that analyze data and classify learners in terms of their respective characteristics. Manual methods involving administering questionnaires related to a specific learning style model and cognitive psychometric tests have been used to identify such behavior. The problem with…

The paper aims at determining the principles of participative management and the nuances of their implementation into integrated e-learning, which complements the traditional forms of education in emergencies, such as the COVID-19 pandemic. The research uses a semi-structured questionnaire adapted from Dashkova for the education sphere and…

During the outbreak of the Coronavirus (COVID-19) pandemic, higher education institutions (HEIs) have shifted from traditional and blended learning approaches to a fully virtual course delivery. This research investigates the students' perceptions on remote learning through asynchronous learning management systems (LMS) and via synchronous video…

The aim of this study was to unveil the factors that affect the use of Mobile Cloud Learning (MCL) platform Blackboard. Considering the nature of MCL, the Unified Theory of Acceptance and Use of Technology (UTAUT) model was applied and modified with two additional variables, i.e. mobility and self-management learning to understand the use…

This study adopted a discursive approach to review the use of the Learning Management System (LMS) popularly known as "Moodle" in most South African universities. Moodle as fondly called is one of the online tools that can be effectively used to deliver learning activities as well as online learning assessments to implement curriculum…

This study aimed to evaluate structural models and measurement models of student satisfaction in online learning. This was a quantitative study using a survey research design. Structural model testing was done by examining the relationship between several variables. The variables in question were the learning management system (LMS), admin…

The current study aimed to investigate the relationship between the self-learning skills that students acquire and their attitude towards using the e-learning system (Moodle). However, studies that examine the relationship between self-learning skills and students' attitudes towards using e-learning system have thus far been rare. This study…

In E-Learning Systems, the automatic detection of the learners' learning styles provides a concrete way for instructors to personalize the learning to be made available to learners. The classification techniques are the most used techniques to automatically detect the learning styles by processing data coming from learner interactions with the…

Providing feedback on student work is a key part of the teaching process. Ideally, students use the provided feedback to learn and improve future work. In the age of technology-mediated learning, it is essential to study how technology affects the feedback process. This work uses data captured by a Learning Management System (LMS) to measure…