Differences of E-Learning Systems With the Focus on Moodle and Blackboard Systems

With the development of new technologies and their implementation in all areas of life, especially education, it is important to understand and accept all the new educational/technological concepts and their benefits. Through the concept of virtual learning environment, educational institutions can improve the quality of the learning process, reduce costs, but also improve communication between students and lecturers. The main objective of this paper is to present characteristics of two most used e-learning systems (Moodle and Blackboard) and provide results of the literature review on the differences of these two systems. Based on the results of literature review, a comparison between Moodle and Blackboard based on ISO 25010 framework is made. Through this secondary research, it was concluded that Moodle is the best solution for introducing a learning management system, but there are numerous opportunities for improving the education system at all levels.

A Study on the Usability of Moodle and Blackboard – Saudi Students Perspectives

<p class="0abstract">Nowadays, e-learning management systems are used in many universities around the world. In Saudi Arabia, universities use several systems such as Moodle and Blackboard. However, only little empirical research has been conducted on Saudi students’ preference for such systems. This study compared the usability of Moodle and Blackboard systems among Saudi university students. Specifically, three comparison metrics have been considered: user interface, download and upload service and materials organization. The results showed that the students preferred Moodle and believed that it is more usable than Blackboard in all studied metrics.</p>

Predicting Personality Traits by Student Learning Behaviors on Blackboard Systems

Personality has been demonstrated as influential factors in technology-enhanced learning. The collection of personality is always a challenge. Human efforts are usually required in the user surveys which is the most common and popular way to collect the personality traits. Predicting personality traits, as a result, becomes one of the research directions. Some researchers consider these personality traits as labels in the classifications, while some others consider them as numeric variables in the regressions. In this paper, we made our attempt to predict the students’ personality traits from their learning behaviors on the Blackboard system. More specifically, we tried both the classification and regression models, and evaluate them based on the same standards. Our initial experimental results discover the insights about these predictive models.