Some two-process models for memory

Two-process models for memory and learnin

Some speculations on storage and retrieval processes in long term memory

Speculations on storage and retrieval processes in long term memor

The global campus project: using e-learning to extend access to new polpulations of students.

The Global Campus (GC) project started in May 1999 between the School of Computing Science (SCS) of Middlesex University (MU) and the Regional Information Technology and Software Engineering Centre (RITSEC) in Cairo[1]. RITSEC were keen to further develop their collaboration with Middlesex University and it was decided to launch a complete MSc programme in Distance Learning (DL) mode. This was in line with the University strategy to expand its provision overseas to meet the vast demand for British higher education abroad by offering e-learning supported programmes to provide access to students who would otherwise be unable to benefit due to the prohibitive costs of studying in the UK. At the time there was a worldwide demand for IT/Computing academic qualifications offering good employment opportunities. Professor Mark Woodman, who joined the School from Open University, played a key role in specifying the pedagogy, determining the structure of the Web-based material and choosing the technology for delivering and implementing the e-learning programmes. During the course of the project, GC programmes were delivered to students at seven collaborative partner institutions located in five countries: China, Cyprus, Egypt, Hong Kong and Singapore. These programmes were part of the portfolio of the Business Information Systems (BIS) Academic group of the SCS and the same programmes were also delivered to students at our London campus. All programmes employed the same course management, assessment and quality control procedures so that all students had an equivalent learning experience. These procedures complied with the standards laid down by the Quality Assurance Agency (QAA) of the Higher Education Funding Council (HEFCE). The paper is an attempt to analyse our experience once the project came to an end with the start of the Academic year 2007/8

Using e-Learning to extend access to new populations of students and reduce cost of programme delivery

This paper evaluates the Global Campus e-learning programmes offered by the School of Computing. The programmes are delivered to students at seven collaborative partner institutions located in China, Cyprus, Egypt, Hong Kong and Singapore. The same programmes are also delivered to students at our London campus. All programmes employ the same course management assessment and quality-control procedures so that all students ahave an equivalent learning experience. These procedures comply with the standards laid down by the Quality Assurance Agency (QAA) of the Higher Education Funding Council of of England (HEFCE). Recently a sustainability analysis was completed correlating programme income with staff salary costs for all programmes offered by the University. Using these figures we have been able to estimate the benefits of delivering the programmes with Global Campus e-learning materials in terms both of learning enhancement and cost reduction

Inter-sensory Judgments of Signal Duration

Intersensory discrimination of signal duration using visual and auditory signal

Domain-specific textual meta-modelling languages for model driven engineering

The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-31491-9_20Proceedings of 8th European Conference, ECMFA 2012, Kgs. Lyngby, Denmark, July 2-5, 2012Domain-specific modelling languages are normally defined through general-purpose meta-modelling languages like the MOF. While this is satisfactory for many Model-Driven Engineering (MDE) projects, several researchers have identified the need for domain-specific meta-modelling (DSMM) languages providing customised meta-modelling primitives aimed at the definition of modelling languages in a specific domain, as well as the construction of meta-model families. In this paper, we discuss the potential of multi-level meta-modelling for the systematic engineering of DSMM architectures. For this purpose, we present: (i) several primitives and techniques to control the meta-modelling facilities offered to the users of the DSMM languages, (ii) a flexible approach to define textual concrete syntaxes for DSMM languages, (iii) extensions to model management languages enabling the practical use of DSMM in MDE, and (iv) an implementation of these ideas in the metaDepth tool.This work was funded by the Spanish Ministry of Economy and Competitivity (project “Go Lite” TIN2011-24139) and the R&D programme of the Madrid Region (project “e-Madrid” S2009/TIC-1650