Collaborative trails in e-learning environments

This deliverable focuses on collaboration within groups of learners, and hence collaborative trails. We begin by reviewing the theoretical background to collaborative learning and looking at the kinds of support that computers can give to groups of learners working collaboratively, and then look more deeply at some of the issues in designing environments to support collaborative learning trails and at tools and techniques, including collaborative filtering, that can be used for analysing collaborative trails. We then review the state-of-the-art in supporting collaborative learning in three different areas – experimental academic systems, systems using mobile technology (which are also generally academic), and commercially available systems. The final part of the deliverable presents three scenarios that show where technology that supports groups working collaboratively and producing collaborative trails may be heading in the near future

Collaboration in the Semantic Grid: a Basis for e-Learning

The CoAKTinG project aims to advance the state of the art in collaborative mediated spaces for the Semantic Grid. This paper presents an overview of the hypertext and knowledge based tools which have been deployed to augment existing collaborative environments, and the ontology which is used to exchange structure, promote enhanced process tracking, and aid navigation of resources before, after, and while a collaboration occurs. While the primary focus of the project has been supporting e-Science, this paper also explores the similarities and application of CoAKTinG technologies as part of a human-centred design approach to e-Learning

Trail records and navigational learning

An emerging wave of 'ambient' technologies has the potential to support learning in new and particular ways. In this paper we propose a 'trail model' of 'navigational learning' which links some particular learning needs to the potentialities of these technologies. In this context, we outline the design and use of an 'experience recorder', a technology to support learning in museums. In terms of policy for the e-society, these proposals are relevant to the need for personalised and individualised learning support

An Introduction to 3D User Interface Design

3D user interface design is a critical component of any virtual environment (VE) application. In this paper, we present a broad overview of three-dimensional (3D) interaction and user interfaces. We discuss the effect of common VE hardware devices on user interaction, as well as interaction techniques for generic 3D tasks and the use of traditional two-dimensional interaction styles in 3D environments. We divide most user interaction tasks into three categories: navigation, selection/manipulation, and system control. Throughout the paper, our focus is on presenting not only the available techniques, but also practical guidelines for 3D interaction design and widely held myths. Finally, we briefly discuss two approaches to 3D interaction design, and some example applications with complex 3D interaction requirements. We also present an annotated online bibliography as a reference companion to this article

Information Outlook, April 2001

Volume 5, Issue 4https://scholarworks.sjsu.edu/sla_io_2001/1003/thumbnail.jp

Investigating the potential of on-line 3D virtual environments to improve access to museums as both an informational and educational resource

New digital technological possibilities allow physical museum artefacts to be transferred into a virtual environment using 3D computer models with rich information content for educational purposes. However, although several museum websites have applied relevant educational theories to learning activities in these 3D environments, these alone are not enough to develop 3D museum environments without consideration of virtual visiting styles in the learning context. This research addresses the relationship between visiting styles and the design of 3D museum environments based on pedagogic approaches for learning efficacy. Relevant literature on the nature of web-based museum systems was reviewed. Three stages of primary research (a critical review, observations and interviews) were also conducted in this study. The critical review examined the use of 3D technologies in current museum websites in terms of informational aspects and the learning context. The observation studies identified the relationship between visitor behaviours and associated learning activities within 3D museum environments. The interviews further elicited experts’ views and were used to test the research hypotheses. A theoretical design reference model was developed. Initially based on the Reeves multimedia design model, the model consists of three phases: analysis, design and assessment. A prototype 3D exhibition was created based on the theoretical model and two pedagogic approaches. Evaluation of this showed that the design of the exhibits with rich multimedia formats had the potential for more effective visitor learning. The two pedagogic approaches encouraged the related visiting style(s), leading to a deeper engagement with the content and ultimately improving learning efficiency

Role of Artificial Intelligence (AI) art in care of ageing society: focus on dementia

open access articleBackground: Art enhances both physical and mental health wellbeing. The health benefits include reduction in blood pressure, heart rate, pain perception and briefer inpatient stays, as well as improvement of communication skills and self-esteem. In addition to these, people living with dementia benefit from reduction of their noncognitive, behavioural changes, enhancement of their cognitive capacities and being socially active. Methods: The current study represents a narrative general literature review on available studies and knowledge about contribution of Artificial Intelligence (AI) in creative arts. Results: We review AI visual arts technologies, and their potential for use among people with dementia and care, drawing on similar experiences to date from traditional art in dementia care. Conclusion: The virtual reality, installations and the psychedelic properties of the AI created art provide a new venue for more detailed research about its therapeutic use in dementia