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…

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 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…

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…

Higher education institutions are in a consistent pursuit of technological adoption through digital transformation techniques since the beginning of the technology revolution. The transformation from traditional to eLearning education system faces the challenges of Information and Communication Technologies (ICT) and operational risks. The…

During the past decades a respectable number and variety of theoretical perspectives and practical approaches have been advanced for studying determinants for prediction and explanation of user's behavior towards acceptance and adoption of educational technology. Aiming to identify the most prominent factors affecting and reliably predicting…

A breakthrough in the development of online learning occurred with the utilization of Learning Management Systems (LMS) as a tool for creating, distributing, tracking, and managing various types of educational and training material. In recent years, major technological enhancements transformed the LMS into powerful software for providing…

This empirical study aims to identify the factors influencing the use of Moodle as a Learning Management Systems (LMS) in the academic context. To fulfil this objective, a quantitative study was carried out through a questionnaire directed to Portuguese university students, which obtained a total of 631 valid answers. The results obtained, based…

Blended learning combines face-to-face instruction and online learning experiences. It capitalizes on online learning management systems, one of which is Google Classroom (GC). Nevertheless, empirical investigations have mirrored literature gaps in understanding how the GC platform affects students' behavioral intention to harness it for web-based…

The COVID-19 epidemic has affected most countries across the globe since it was declared in December 2019 and forced most educational institutions to shift from face-to-face learning style to E-learning or distance education. This study aims to analyze and investigate the experiences and perceptions of using Blackboard as a distance learning…

With the emergence of technology, the personalization of e-learning systems is enhanced. These systems use a set of parameters for personalizing courses. However, in literature, these parameters are not based on classification and optimization algorithms to implement them in the cloud. Cloud computing is a new model of computing where standard and…

The article considers a convergent approach to the synthesis of the information learning environment for higher education, which includes tools for managing educational content and learning trajectories. The process of convergence is defined as synchronization and coordination of electronic educational resources, educational programs and skill…

The key objective of this study was to reveal the key factors that impact university students' continued usage intentions with respect to Learning Management Systems (LMSs). Given the context-dependent nature of e-learning, the Unified Theory of Acceptance and Use of Technology (UTAUT) model was applied and extended with constructs principally…

Technological evolution involves a challenge for teachers and higher education institutions to achieve e-learning success. This paper addresses this issue from the teachers' perspective to reveal what characteristics of the e-learning system affect teachers' continuance commitment and contribute to the increase and permanence of e-learning…