Evaluation of the ICT Test Bed project: final report, June 2007

The report describes three strands of evaluation used in the review of the 2006 outcomes from ICT Test Bed and the findings from each strand. a) Quantitative data: Benchmarking of changes in performance on national tests against matched comparator schools and national averages; b) Qualitative data: Site visits including classroom observations, interviews with local authority managers, head teachers, teachers, administrative staff, technicians and students; and c) Document analysis

Towards a Design Methodology for Decision Support Systems

The authors propose the use of process models for DSS design. The kind of process models suggested are task structures and decision structures with simple graphical syntax and semantics. The process models form the basis for a coherent DSS design methodology, based upon the bounded rationality paradigm. The history of DSS and DSS design is discussed to form a theoretical position. The resulting methodology has been tested and evaluated in a laboratory experiment. The results of this evaluation will be used for continuous improvement of the methodolog

Marketing in Higher Education: A Stage Model Concerning Where It\u27s Been and Where It\u27s Going

The ideas of Williford (1987) are used to propose a four-stage model describing the evolution of marketing in many colleges and universities. It elaborates on the thinking endemic to strategic marketing management and frameworks drawn from business marketing which will likely become more prominent in higher education. (Author/GLR

Intelligent student engagement management : applying business intelligence in higher education

Advances in emerging ICT have enabled organisations to develop innovative ways to intelligently collect data that may not be possible before. However, this leads to the explosion of data and unprecedented challenges in making strategic and effective use of available data. This research-in-progress paper presents an action research focusing on applying business intelligence (BI) in a UK higher education institution that has developed a student engagement tracking system (SES) for student engagement management. The current system serves merely as a data collection and processing system, which needs significant enhancement for better decision support. This action research aims to enhance the current SETS with BI solutions and explore its strategic use. The research attempts to follow socio-technical approach in its effort to make the BI application a success. Progress and experience so far has revealed interesting findings on advancing our understanding and research in organisation-wide BI for better decision-making

Risks of user-development application in small business

This paper discusses the risks of developing computerised business applications by end-users particularly in the small business environment. As today’s end-users are becoming more and more sophisticated, coupled with the proliferation of Information Technology (IT) that has brought the computerisation of business activities within reach of many small firms, understanding the benefits and risks of user-developed applications would contribute towards the small firm’s effectiveness in IT adoption. This is particularly relevant in today’s managing business where businesses, including the small firms, in a volatile environment will have to compete not only locally but also globally,and IT is seen to be an enabler that can help small firms to increase their competitiveness. Relevant literature on the benefits and risks of user-developed applications were sought and summarised in this paper. Findings were also based on a case study investigation of small firms with no formal IT function where observations were made on the end-user developers who were given the responsibility to develop the firm’s computerised applications. Whilst the benefits have been enormously highlighted and at times overshadowed the risks, due attention is given to examining the risks so as to provide a more balanced report and a precautionary measure for end-user developers. Risks were categorised according to organisational and individual risks following the application development stages of planning, analysis, design and implementation