825 research outputs found

    Virtual Reality in Higher Education

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    Virtual reality (VR) is an interactive experience which immerses the user in a digital environment through a sense of presence. In the context of providing an active learning experience, virtual reality has the potential to improve learning outcomes for biomedical science students as it allows the visualisation of and interaction with digital representations of dynamic objects and complex concepts. Studies in bioscience and medical education have shown mixed results pertaining to the benefits of VR as a learning tool. This review aims to consolidate how VR succeeded or failed in improving learning outcomes, and assesses the issue of VR scalability for the ever-growing cohorts in tertiary bioscience courses

    Literacy for digital futures : Mind, body, text

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    The unprecedented rate of global, technological, and societal change calls for a radical, new understanding of literacy. This book offers a nuanced framework for making sense of literacy by addressing knowledge as contextualised, embodied, multimodal, and digitally mediated. In today’s world of technological breakthroughs, social shifts, and rapid changes to the educational landscape, literacy can no longer be understood through established curriculum and static text structures. To prepare teachers, scholars, and researchers for the digital future, the book is organised around three themes – Mind and Materiality; Body and Senses; and Texts and Digital Semiotics – to shape readers’ understanding of literacy. Opening up new interdisciplinary themes, Mills, Unsworth, and Scholes confront emerging issues for next-generation digital literacy practices. The volume helps new and established researchers rethink dynamic changes in the materiality of texts and their implications for the mind and body, and features recommendations for educational and professional practice

    Web-based learning and teaching resources for microscopic detection of human parasites.

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    DMU e-Parasitology (http://parasitology.dmu.ac.uk) presents novel web-based resources co-developed by EU academics at De Montfort University (DMU) for the teaching and learning of microscopic diagnoses of common and emerging human parasites. The package will be completed early in 2019 and presents a Virtual Laboratory and Microscope, which are equipped with engaging units for learning parasitological staining and fresh preparation techniques for detecting cysts, oocysts, eggs and spores, in conjunction with a library of digitised clinical slides. Units are equipped with short videos of academics performing the different techniques and quizzes and exercises, to provide students with the most practical experience possible

    The Industrial Track of EuroVR 2018:Proceedings of the 15th Annual EuroVR Conference

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    The Industrial Track of EuroVR 2018:Proceedings of the 15th Annual EuroVR Conference

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    Emerging ExG-based NUI Inputs in Extended Realities : A Bottom-up Survey

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    Incremental and quantitative improvements of two-way interactions with extended realities (XR) are contributing toward a qualitative leap into a state of XR ecosystems being efficient, user-friendly, and widely adopted. However, there are multiple barriers on the way toward the omnipresence of XR; among them are the following: computational and power limitations of portable hardware, social acceptance of novel interaction protocols, and usability and efficiency of interfaces. In this article, we overview and analyse novel natural user interfaces based on sensing electrical bio-signals that can be leveraged to tackle the challenges of XR input interactions. Electroencephalography-based brain-machine interfaces that enable thought-only hands-free interaction, myoelectric input methods that track body gestures employing electromyography, and gaze-tracking electrooculography input interfaces are the examples of electrical bio-signal sensing technologies united under a collective concept of ExG. ExG signal acquisition modalities provide a way to interact with computing systems using natural intuitive actions enriching interactions with XR. This survey will provide a bottom-up overview starting from (i) underlying biological aspects and signal acquisition techniques, (ii) ExG hardware solutions, (iii) ExG-enabled applications, (iv) discussion on social acceptance of such applications and technologies, as well as (v) research challenges, application directions, and open problems; evidencing the benefits that ExG-based Natural User Interfaces inputs can introduceto the areaof XR.Peer reviewe
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