#ASCILITEMLSIG at the #ASCILITE2019 Conference: Weds 4th December

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The ASCILITE Mobile Learning SIG has two sessions on day 2 (Weds 4th December) at the Conference, and it would be great to see everyone who is attending there http://2019conference.ascilite.org/programme.html: 1pm to 2:30pm Weds 4th December, SR C 3.10 - Mobile Learning SIG Meet and share mobile learning projects and plan activities for 20202:30pm to 3:30pm Weds 4th December, PAT - Panel Symposium discussing the 2019 article updates to the special collection on Mobile Mixed Reality (MMR) for the Research in Learning Technology Journal https://journal.alt.ac.uk/index.php/rlt/collections 
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#MESH360 #XRBootcamp & Showcase

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⚡️ “#XR Showcase & Bootcamp” Latest showcase of projects from the #MESH360 research cluster https://www.researchgate.net/project/MESH360 @ToddStretton @caguayoNZ @victoriomartin @Jinhong5849 @aiello_stephen @wilkinson_norm @Srgurr https://twitter.com/i/moments/1142979328302407682
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#SOTELNZ upcoming events

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The Mixed Reality Showcase  13 June 2019 @ 12-1pm WO1020 On June 13, come and experience a showcase of Mixed Reality projects currently underway at AUT. Hear from Jin Hong (CfLAT), Todd Stretton (Physiotherapy), Sally Britnell (Nursing), Claudio Aguayo and the AppLab, and Stephen Aiello (Paramedicine), about their journeys to developing immersive reality experiences for their students. Immersive learning environments cover virtual CAVEs, desktop computing environments, tethered and mobile head mounted displays, as well as augmented reality glasses and mobile smartphone based implementations. Immersive learning environments can also be enhanced through the use of positional, haptic, and biometric feedback. This is a rapidly developing technology, and policy makers need to be informed of where the technology is headed, what are the best current options, and how best to meet educational goals through the investment in the design of learning environments that utilise these technologies (Walker,…
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Thomas Reeves—The Research We Need to Win the Race between Human Learning and Machine Learning #sotelnz #trendsetter

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Thomas C. Reeves, Professor Emeritus of Learning, Design, and Technology The University of Georgia, USA Title: “The Research We Need to Win the Race between Human Learning and Machine Learning” Abstract: Over the past 25 years, major advances have been made in the development of machine learning, also referred to as “deep learning,” a branch of artificial intelligence (AI) whereby computers are programmed to analyze large data sets and make inferences about new data. The capacities of deep learning machines to see and understand, listen and speak, read and write, and integrate information and make judgments are developing at amazing rates. Among other uses, deep learning algorithms are automating jobs done by humans at an ever-increasing rate. While we have grown accustomed to thinking that robotics would take over most…
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