The Experience of Learning in “The Cube”: Queensland University of Technology’s Giant Interactive Multimedia Environment
Journal Title: Informatics - Year 2014, Vol 1, Issue 2
Abstract
In this paper we report findings of the first phase of an investigation, which explored the experience of learning amongst high-level managers, project leaders and visitors in Queensland University of Technology’s (QUT) “Cube”. “The Cube” is a giant, interactive, multi-media display; an award-winning configuration that hosts several interactive projects. The research team worked with three groups of participants to understand the relationship between: (a) the learning experiences that were intended in the establishment phase; (b) the learning experiences that were enacted through the design and implementation of specific projects; and (c) the lived experiences of learning of visitors interacting with the system. We adopted phenomenography as a research approach, to understand variation in people’s understandings and lived experiences of learning in this environment. The project was conducted within the first twelve months of The Cube being open to visitors.
Authors and Affiliations
Elham Sayyad Abdi, Christine Bruce and Ian Stoodley
Keywords
Related Articles
- EP ID EP44041
- DOI https://doi.org/10.3390/informatics1020126
- Views 307
- Downloads 0
Advancing Social Media and Mobile Technologies in Healthcare Education
Social media and mobile technologies are important new tools in healthcare education, both to assist healthcare professionals learn and maintain their craft, and for the education of patients and families. Social media...
Ambient Assisted Living and Health-Related Outcomes—A Systematic Literature Review
The active ageing paradigm aims to contribute to the expectation of a long, autonomous, independent and healthy life. Ambient Assisted Living (AAL) promotes the development of technological solutions that might have a...
Sampling and Estimation of Pairwise Similarity in Spatio-Temporal Data Based on Neural Networks
Increasingly fast computing systems for simulations and high-accuracy measurement techniques drive the generation of time-dependent volumetric data sets with high resolution in both time and space. To gain insights fro...
MaPSeq, A Service-Oriented Architecture for Genomics Research within an Academic Biomedical Research Institution
Genomics research presents technical, computational, and analytical challenges that are well recognized. Less recognized are the complex sociological, psychological, cultural, and political challenges that arise when g...
Quality Management in Big Data
Due to the importance of quality issues in Big Data, Big Data quality management has attracted significant research attention on how to measure, improve and manage the quality for Big Data. This special issue in the Jo...