Automation of information decision support to improve e-learning resources quality

Decision Support to Improve Service Quality in Demand Surge Situations

Learning to Improve both E ciency and Quality of Planning

Most research in learning for planning has concentrated on eeciency gains. Another important goal is improving the quality of nal plans. Learning to improve plan quality has been examined by a few researchers, however, little research has been done learning to improve both eeciency and quality. This paper explores this problem by using the Scope learning system to acquire control knowledge that...

Information Services to Support E-Learning in Ad-hoc Networks

Mobile ad-hoc networks are a growing research topic. Much effort has been put into providing a technical basis for such networks. However, up to now, there has been very little work on how to facilitate integrated usage of the resources available in such a network. In this paper, we give an insight into our research on developing concepts to use the services of an ad-hoc net in an integrated, e...

Use of clinical decision support to improve the quality of care provided to older hospitalized patients.

BACKGROUND Frail older inpatients are at risk of unintended adverse events while in hospital, particularly falls, functional decline, delirium and incontinence. OBJECTIVE The aim of this pragmatic trial was to pilot and evaluate a multi-component knowledge translation intervention that incorporated a nurse-initiated computerized clinical decision support tool to reduce harms in the care of ol...

Information Quality Framework for e-Learning Systems

Information quality frameworks are developed to measure the quality of information systems, generally from the designers’ viewpoint. The recent proliferation of e-services and e-learning particularly raises the need for a new quality framework in the context of e-learning systems. This paper proposes a new information quality framework, with 14 information quality attributes grouped in three qu...