A current concern of modern societies is the quality of their educational systems. Learning Management Systems (LMSs) are technological tools that have been used to improve and extend the traditional educational system. Although LMSs have greatly benefited from technological advances, this type of educational platforms are still in need of mechanisms to provide virtual educational environments in which students are considered the main actor in the design of the learning process, thus contributing to increase the quality of educational systems. In particular, LMSs usually lack mechanisms for recognizing users' learning styles, which describe the way a learner acquires and process information.In this work we propose a framework for automatic identification of learning styles in LMSs and present a specific implementation. A key goal of the framework design is to provide researchers and practitioners with a tool that facilitates the specification of expert knowledge for classifying students with respect to their learning styles in LMSs.
In this paper we present a Web platform designed to allow medical students and practitioners to study clinical cases on their own. The main objective of this proposal is to address key problems inherent in the traditional study of clinical cases by providing a tool that implements techniques and elements of gamification, simulation, and serious games. The proposed platform offers an improved learning experience through a virtual environment that provides an alternative method for training and interpretation of clinical cases for medical examinations. Medical students and practitioners can play the role of a real doctor in a simulated office. In particular, the platform allows medical students and practitioners to learn through their mistakes without hurting human beings. In addition, this platform is designed to allow users to add new clinical cases and make them available for study. The platform was validated in a local hospital by 8 medical practitioners. The participants indicated that the platform design, the tutorials included, and the ease of use factors are satisfactory.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.