Essential knowledge aggregation, delivery and assessment

It is clear that the use of ICT for education has not yet achieved its potential. In this paper we present our vision on the further development and widening of learning through the enhanced use of ICT. In this context, learning is considered as having a framework with several essential and connected processes. Web semantic methods now enable the monitoring of knowledge and curriculum updates. Substantial research is required as well as an understanding of how the human brain manages various channels of information delivery. We consider knowledge delivery in combination with textual, visual and audio information. Its efficiency can be improved when we discover and apply methods used for successful performances and plays. A paradigm shift from in-class assessment toward self-assessment assisted by individually tailored ICT increases the efficiency of learning. As a first step, an individual assessment tool (App) for iOS is briefly described. What does education need from ICT? It is clear that we need to address how we extract knowledge from Web, how we aggregate new with existing knowledge, how we deliver more current and essential knowledge and how we can ease and improve assessment. All of these steps include ICT, web and human involvement. This is called Essential Knowledge Extraction, Aggregation, Delivery and Assessment. It is a practical pathway for considerable research in knowledge aggregation (using information processing support), extraction, and delivery. To succeed in delivering this aggregated knowledge we must understand how the learner’s brain absorbs knowledge. In addition self-assessment supported and implemented by individually tailored (adaptive) assessment technology and tools can also improve knowledge delivery

Developing a quality assurance metric: a panoptic view

This article is a post-print of the published article that may be accessed at the link below. Copyright @ 2006 Sage Publications.There are a variety of techniques that lecturers can use to get feedback on their teaching - for example, module feedback and coursework results. However, a question arises about how reliable and valid are the content that goes into these quality assurance metrics. The aim of this article is to present a new approach for collecting and analysing qualitative feedback from students that could be used as the first stage in developing more reliable quality assurance metrics. The approach, known as the multi-dimensional crystal view, is based on the belief that individuals have different views on the benefits that the embedded process in a system can have on the behaviour of the system. The results of this study indicate that in the context of evaluation and feedback methods, the multi-dimensional approach appears to provide the opportunity for developing more effective student feedback mechanisms

Regional Coalitions for Healthcare Improvement: Definition, Lessons, and Prospects

Outlines how regional quality coalitions can collaborate to help deliver evidence-based healthcare; improve care processes; and measure, report, and reward results. Includes guidelines for starting and running a coalition and summaries of NRHI coalitions

Evaluation of e-learning web sites using fuzzy axiomatic design based approach

High quality web site has been generally recognized as a critical enabler to conduct online business. Numerous studies exist in the literature to measure the business performance in relation to web site quality. In this paper, an axiomatic design based approach for fuzzy group decision making is adopted to evaluate the quality of e-learning web sites. Another multi-criteria decision making technique, namely fuzzy TOPSIS, is applied in order to validate the outcome. The methodology proposed in this paper has the advantage of incorporating requirements and enabling reductions in the problem size, as compared to fuzzy TOPSIS. A case study focusing on Turkish e-learning websites is presented, and based on the empirical findings, managerial implications and recommendations for future research are offered