Reflections on the use of Project Wonderland as a mixed-reality environment for teaching and learning

This paper reflects on the lessons learnt from MiRTLE?a collaborative research project to create a ?mixed reality teaching and learning environment? that enables teachers and students participating in real-time mixed and online classes to interact with avatar representations of each other. The key hypothesis of the project is that avatar representations of teachers and students can help create a sense of shared presence, engendering a greater sense of community and improving student engagement in online lessons. This paper explores the technology that underpins such environments by presenting work on the use of a massively multi-user game server, based on Sun?s Project Darkstar and Project Wonderland tools, to create a shared teaching environment, illustrating the process by describing the creation of a virtual classroom. It is planned that the MiRTLE platform will be used in several trial applications ? which are described in the paper. These example applications are then used to explore some of the research issues arising from the use of virtual environments within an education environment. The research discussion initially focuses on the plans to assess this within the MiRTLE project. This includes some of the issues of designing virtual environments for teaching and learning, and how supporting pedagogical and social theories can inform this process

Lessons learnt from the broadband diffusion in South Korea and the UK: Implications for future government intervention in technology diffusion

Governments around the globe are rapidly introducing e-government initiatives with the role of the internet being regarded as pertinent. Information and Communication Technologies (ICTs) offer the capacity to an improved internet. Broadband technology is a form of ICT that is currently being adopted and diffused in many countries. In this paper, we outline how the role of the government can sustain broadband adoption. We use a framework developed by King et al. regarding institutional actions related to IT diffusion and examine the institutional actions taken by the South Korean government (hereafter referred as Korea) and we compare them with relevant policies pursued in Britain (hereafter referred as UK). We demonstrate that a comparison between the IT policies of the two countries allows research to extract the 'success factors' in government intervention in supporting technology diffusion, in order to render favourable results if applied elsewhere

Open and distance learning for basic education in South Asia: its potential for hard to reach children and children in conflict and disaster areas

This is the main report in a UNICEF funded project which explores the ways in which, across South Asia, various forms of open and distance learning could be developed to better meet the needs of marginalised children and those affected by natural disaster and by conflic

Future bathroom: A study of user-centred design principles affecting usability, safety and satisfaction in bathrooms for people living with disabilities

Research and development work relating to assistive technology 2010-11 (Department of Health) Presented to Parliament pursuant to Section 22 of the Chronically Sick and Disabled Persons Act 197

M-Commerce Implementation in Nigeria: Trends and Issues

Nigeria was described as the fastest growing telecoms nation in Africa and the third in the World. The country had experienced a phenomenal growth from a teledensity of 0.49 in 2000 to 25.22 in 2007. This trend has brought about a monumental development in the major sectors of the economy, such as banking, telecoms and commerce in general. This paper presents the level of adoption of ICT in the banking sector and investigates the prospects of m-Commerce in Nigeria based on strengths, weaknesses, opportunities and threats (SWOT) analysis. Findings revealed that all banks in Nigeria offer e-Banking services and about 52% of the offer some forms of m-Banking services. The banks and the telecoms operators have enormous potentials and opportunities for m-Commerce but the level of patronage, quality of cell phones, lack of basic infrastructure and security issues pose a major threat to its wide scale implementation

Artificial Intelligence and Machine Learning Approaches to Energy Demand-Side Response: A Systematic Review

Recent years have seen an increasing interest in Demand Response (DR) as a means to provide flexibility, and hence improve the reliability of energy systems in a cost-effective way. Yet, the high complexity of the tasks associated with DR, combined with their use of large-scale data and the frequent need for near real-time de-cisions, means that Artificial Intelligence (AI) and Machine Learning (ML) — a branch of AI — have recently emerged as key technologies for enabling demand-side response. AI methods can be used to tackle various challenges, ranging from selecting the optimal set of consumers to respond, learning their attributes and pref-erences, dynamic pricing, scheduling and control of devices, learning how to incentivise participants in the DR schemes and how to reward them in a fair and economically efficient way. This work provides an overview of AI methods utilised for DR applications, based on a systematic review of over 160 papers, 40 companies and commercial initiatives, and 21 large-scale projects. The papers are classified with regards to both the AI/ML algorithm(s) used and the application area in energy DR. Next, commercial initiatives are presented (including both start-ups and established companies) and large-scale innovation projects, where AI methods have been used for energy DR. The paper concludes with a discussion of advantages and potential limitations of reviewed AI techniques for different DR tasks, and outlines directions for future research in this fast-growing area