An Overview of the Common Elements of Learning Management System Policies in Higher Education Institutions

Medical and nursing students' satisfaction with e-learning platforms during the COVID-19 pandemic: Initial findings of an experimental project in China

Satisfaction with learning management systems (LMSs) is an essential indicator of students' e-learning experiences and reflects the quality of e-learning. Applying the technology satisfaction model, the present study aimed to investigate medical and nursing students' satisfaction with LMSs and its predictors. We conducted our survey at a medical university located in East China and received a total of 329 effective responses. Structural equation modelling was used to analyse the data. Our findings confirmed that perceived ease of use and perceived usefulness were two direct predictors of medical and nursing students' satisfaction with LMSs. Furthermore, the influence of perceived usefulness on satisfaction was more powerful than that of perceived ease of use. This study also substantiated that computer self-efficacy and perceived ease of use can indirectly impact medical and nursing students' satisfaction with LMSs. Our research effectively links the theoretical hypotheses with empirical findings, highlighting the central role of Computer Self-Efficacy (CSE), perceived ease of use, and perceived usefulness in shaping medical and nursing students' satisfaction with LMSs. Our findings contributed to the understanding of the technology satisfaction model and medical and nursing students' e-learning during the COVID-19 pandemic.

An Evaluation of Open Source Adaptive Learning Solutions

The education sector has never been so shaken up as much as this past year. COVID-19 has imposed new rules. Several countries were forced to switch overnight from a traditional educational model to a full eLearning one. Like most other countries, the Moroccan government decided to promote distance learning by implementing several initiatives, though they remained at an embryonic stage. To contribute to the movement of transforming the national educational landscape, we aimed to develop a solution that will leverage the technological advances in this field and influence the ways students learn. This will be possible by providing learners with the latest features enabling online and adaptive learning modes. Hence, the purpose of this first study is to provide an empirical evaluation of the existing open source Ed-tech projects, which will serve as the basis for the development of our global adaptive eLearning solution. Unlike existing work, which is based on literature reviews to compare the existing adaptive eLearning platforms, we have used the OpenBRR assessment methodology as a comparison methodology due to its flexibility and ease of use. This work will help us to understand the concepts of adaptivity in education. It will also describe the most popular open source Maturity Models as well as provide a clear idea about the differences between these Ed-tech open source solutions.