Technology-enhanced learning

Jonathon Rial
2012 Education for Primary Care  
The success of the e-learning paradigm observed in recent times created a growing demand for elearning systems in universities and other educational institutions, that itself led to the development of a number of either commercial or open source learning management systems (LMS). While the usage of these systems gains recognition and acceptance amongst institutions, there are new problems arising that need to be solved. Because of multiplicity of platforms and approaches used for various
more » ... implementation, it becomes increasingly difficult to manage or compare them. Their variety and growing number is also a true barrier for re-use of existing learning materials that is a clear economical concern for the future of these technologies. Applications and their data become isolated. As the result of platform diversity, future vision of interconnecting LMS of different educational institutions is demanding, too. The present study ambitions to overcome the aforementioned difficulties by using the Model Driven Architecture (MDA) approach of the Object Management Group (OMG). The goal is to provide a generalized architectural framework enabling an integrated specification of platform architectures. This platform-independent framework can then be used to specify and classify existing or future Learning management systems and to simplify migration of data between different kinds of e-learning systems. Abstract. Mobile computing technologies and social software have given new challenges to technology-enhanced learning. Simple e-learning system personalization, adaptation and authoring become only part of problems. Learning activities take place in certain contexts such as at a certain location in a certain period of time within certain communities. Learning content in the Web 2.0 era draws a large audience. There is yet little research work addressed to both context awareness and data uncertainty in mobile learning applications. My research focuses on identifying, analyzing and reducing data uncertainty problems for learning content in context aware technology enhanced learning systems. The concept of mobile social software is realized in the system Virtual Campfire which is a community knowledge management system for context-aware mobile learning. It supports learner communities to create, annotate, search, and share geographic and multimedia knowledge on mobile devices. At the same time, the problems of data uncertainty, data modeling and data semantic are explored. Abstract: Current learning modelling languages do not allow formalization of scripts where generic tools are required. This limitation is especially relevant on remote courses when using collaborative models. Integrating information from external services into IMS LD will enhance its expressiveness by reducing the required administrative tasks at deploy time. This document analyzes external service requirements on learning model, and discusses a solution consisting on an extension to be used in conjunction with the current IMS LD specification. Abstract. Lifecycle information can be of great help in the retrieval, authoring and usage of both, Learning Resources and Knowledge Documents. In my PhD thesis I want to show how the different types of information can be captured, managed and utilized so that the persons involved in the lifecycle of these documents benefit from it in various ways. This article shows my overall strategy and my progresses in the different segments. Abstract. Large firms tend to overlap their boundaries in unstable environments and create strategic alliances and collaborations with their suppliers, customers and partners. In the automobile sector, firms are extended enterprises continuously innovating and creating new products through their dynamic capabilities. A large automotive company seeks to leverage its relationships with its customers and suppliers through networks creation. More specifically, partnering with the organizations, constituting a Dealers' network-providing after sales services to customers as assisting, selling, and repairing cars. The dealers' network consists of small and medium organizations that represent the automotive company and are the intermediary among it and its customers. Through this research, we are elaborating a model representing the collaborative relationship among the automotive company and its dealers' network that leads to knowledge creation and sharing about the automobiles components and services of this extended enterprise. We present a model illustrating the dealers' network organization and its interaction with the large firm. The collaborative knowledge network (CKN) contributes to the sustainability of the new product development (NPD) process of the automotive company.
doi:10.1080/14739879.2012.11494142 pmid:23182104 fatcat:dhik6h73hraipczxb63pdbuqvi