Age related cognitive impairments and assistive web-base technology

Several researchers argue that age related cognitive impairments have detrimental affect on use of web services by older adults. However little and systematic applied research has been conducted on how age related cognitive impairments might affect the usage of web services by older adults. Undoubtedly, understanding the relationship between the cognitive changes that accompany aging and their impact on older adults’ usage of web services will be beneficial for designing web services for this group. The paper demonstrates how such understanding has been employed to develop an assistive technology in order to improve older adults’ interaction with online forms

Harnessing technology review 2007. Progress and impact of technology in education. Full Report.

This is the first review of the use and impact of ICT in the education system following the publication of the Government's e-Strategy for the education system, known as Harnessing Technology. The Review drew upon Becta's surveys of schools and FE colleges as well as other research to assess the impact of technology within the education system and the progress made in achieving the system outcomes of the policy

Transformational government and assistive web base technologies

Transformational government has been on the European agenda for several years. However, progress towards realising the full potential of ICT to transform public services for older adults with age related cognitive impairments has been very limited. Highlighting such limitations this paper demonstrates how assistive web base technologies can be developed to improve the public services for older adults with age related cognitive impairments. However the paper argues that these transformations can be obstructed if there is no strong leadership and political commitment from people at many levels in public sectors and governments

Ontology-based personalisation of e-learning resources for disabled students

Students with disabilities are often expected to use e-learning systems to access learning materials but most systems do not provide appropriate adaptation or personalisation to meet their needs.The difficulties related to inadaptability of current learning environments can now be resolved using semantic web technologies such as web ontologies which have been successfully used to drive e-learning personalisation. Nevertheless, e-learning personalisation for students with disabilities has mainly targeted those with single disabilities such as dyslexia or visual impairment, often neglecting those with multiple disabilities due to the difficulty of designing for a combination of disabilities.This thesis argues that it is possible to personalise learning materials for learners with disabilities, including those with multiple disabilities. This is achieved by developing a model that allows the learning environment to present the student with learning materials in suitable formats while considering their disability and learning needs through an ontology-driven and disability-aware personalised e-learning system model (ONTODAPS). A disability ontology known as the Abilities and Disabilities Ontology for Online LEarning and Services (ADOOLES) is developed and used to drive this model. To test the above hypothesis, some case studies are employed to show how the model functions for various individuals with and without disabilities and then the implemented visual interface is experimentally evaluated by eighteen students with disabilities and heuristically by ten lecturers. The results are collected and statistically analysed.The results obtained confirm the above hypothesis and suggest that ONTODAPS can be effectively employed to personalise learning and to manage learning resources. The student participants found that ONTODAPS could aid their learning experience and all agreed that they would like to use this functionality in an existing learning environment. The results also suggest that ONTODAPS provides a platform where students with disabilities can have equivalent learning experience with their peers without disabilities. For the results to be generalised, this study could be extended through further experiments with more diverse groups of students with disabilities and across multiple educational institutions

Harnessing Technology: analysis of emerging trends affecting the use of technology in education (September 2008)

Research to support the delivery and development of Harnessing Technology: Next Generation Learning 2008–1

The impact of digital technologies on teaching and learning

This thesis explores the impact of new technologies on learning and teaching and draws on research work carried out over a ten-year period. The thesis looks at the facilitators and barriers to using digital technologies effectively and explores the challenges for educators as they respond to the changes brought about by these digital technologies. It presents eight published works that have investigated the impact of digital technologies and collected data using a range of qualitative and quantitative techniques. The core paper provides a model by which the impact of digital technologies can be analysed and understood and the remaining papers populate that model. The model identifies a system of learning spaces that describe the ways that learners, teachers and managers respond to the challenges and opportunities that digital technologies bring to learning. The papers explore how the school space, the teaching space, the personal learning space and the living space have all been transformed by digital technologies. These papers highlight the ongoing tension within education brought about by the conflicting ambitions of managers to control learning while at the same time encouraging personalisation. The papers consider the nature of digital divides and also the potential hazards presented to young people by digital technologies. Finally, the papers explore the relationship between the use of digital technologies and academic achievement. The work presented here provides a coherent contribution to the field that offers new understandings of the impact of digital technologies on learning, and identifies key issues for further research