This paper describes a possible application of swarm intelligence techniques in e-learning: an auditing tool for pedagogical planning. Swarm intelligence techniques can be applied to a web system thanks to the fact that the available online material can be organized in a graph by means of hyperlinks. In this case, the swarm that moves on the graph is composed of students who unconsciously leave pheromones in the environment depending on their success or failure. The paper presents the system and shows its capacity to serve as an auditing tool for courses designed by a pedagogical team.
Abstract-We present jPET, a whitebox test-case generator (TCG) which can be used during software development of Java applications within the Eclipse environment. jPET builds on top of PET, a TCG which automatically obtains test-cases from the bytecode associated to a Java program. jPET performs reverse engineering of the test-cases obtained at the bytecode level by PET in order to yield this information to the user at the source code level. This allows understanding the information gathered at the lower level and using it to test source Java programs.
Abstract:The IMS Learning Design specification aims at capturing the complete learning flow of courses, without being restricted to a particular pedagogical model. Such flow description for a course, called a Unit of Learning, must be able to be reproduced in different systems using a so called run-time environment. In the last few years there has been several tools implementing such functionality, but most of them are standalone and do not benefit from the integration with a Learning Management System. This paper describes GRAIL, an IMS Learning Design run-time environment supporting all three levels of the specification and fully integrated with the .LRN Learning Management System. The paper describes its functionality, explains how each level is implemented, shows the differences with other CopperCore based environments, and analyzes its integration with the rest of .LRN services and other specifications such as QTI and SCORM.
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.