Engage VR on Thursdays
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more on EngageVR in this IMS blog
https://blog.stcloudstate.edu/ims?s=engagevr
Digital Literacy for St. Cloud State University
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more on EngageVR in this IMS blog
https://blog.stcloudstate.edu/ims?s=engagevr
An executive guide to artificial intelligence, from machine learning and general AI to neural networks.
Narrow AI is what we see all around us in computers today — intelligent systems that have been taught or have learned how to carry out specific tasks without being explicitly programmed how to do so.
General AI
General AI is very different and is the type of adaptable intellect found in humans, a flexible form of intelligence capable of learning how to carry out vastly different tasks, anything from haircutting to building spreadsheets or reasoning about a wide variety of topics based on its accumulated experience.
There are a vast number of emerging applications for narrow AI:
A survey conducted among four groups of experts in 2012/13 by AI researchers Vincent C Müller and philosopher Nick Bostrom reported a 50% chance that Artificial General Intelligence (AGI) would be developed between 2040 and 2050, rising to 90% by 2075.
Another area of AI research is evolutionary computation.
As mentioned, machine learning is a subset of AI and is generally split into two main categories: supervised and unsupervised learning.
Supervised learning
Unsupervised learning
All of the major cloud platforms — Amazon Web Services, Microsoft Azure and Google Cloud Platform — provide access to GPU arrays for training and running machine-learning models, with Google also gearing up to let users use its Tensor Processing Units — custom chips whose design is optimized for training and running machine-learning models.
It’d be a big mistake to think the US tech giants have the field of AI sewn up. Chinese firms Alibaba, Baidu, and Lenovo, invest heavily in AI in fields ranging from e-commerce to autonomous driving. As a country, China is pursuing a three-step plan to turn AI into a core industry for the country, one that will be worth 150 billion yuan ($22bn) by the end of 2020 to become the world’s leading AI power by 2030.
While you could buy a moderately powerful Nvidia GPU for your PC — somewhere around the Nvidia GeForce RTX 2060 or faster — and start training a machine-learning model, probably the easiest way to experiment with AI-related services is via the cloud.
Robots and driverless cars
Fake news
Facial recognition and surveillance
Healthcare
Reinforcing discrimination and bias
AI and global warming (climate change)
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more on AI in this iMS blog
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https://mondediplo.com/2004/04/15mozambique
Otelo Saraiva de Carvalho — the leader of Portugal’s Carnation Revolution, which toppled the Estado Novo dictatorship of Antonio de Oliveira Salazar in April 1974 — died last week aged 84. Born in Mozambique, Saraiva de Carvalho negotiated its independence a few months after the revolution, as well as those of Angola and Guinea-Bissau. As an ally of the most leftwing faction of the Armed Forces Movement (MFA), he found himself increasingly marginalised as Portugal became a European democracy.
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more on history in this iMS blog
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Teachers and administrators from pre-K through 12th grade named these tools their top picks for this year and beyond.
https://www.edutopia.org/article/10-teacher-picks-best-tech-tools
the responses of 1,461 virtual learning academy participants—pre-K to 12 teachers and administrators—to survey questions on impactful tools that I conducted from May to December 2020, and over 70 webinars and virtual learning sessions, these are the top teacher-tested tech tools I have identified.
10. Parlay, https://parlayideas.com/
9. Flipgrid
8. Edpuzzle
7. Pear Deck
6. Prezi
5. Screencastify, https://www.screencastify.com/
4. Mural, https://www.mural.co/
3. Gimkit, https://www.gimkit.com/
2. Mentimeter and Slido. https://www.sli.do/, https://www.mentimeter.com/
1. Learning management system: Canvas and Schoology, Google Classroom
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more on ID in this IMS blog
https://blog.stcloudstate.edu/ims?s=instructional+design
Virtual reality clinical skills training helps in muscle memory building by:
Learning by performing – In a VR environment, learners get the opportunity to learn skills by performing tasks and it is a well-proven fact that the best way to retain knowledge is practical application.
Practicing multiple times – Virtual environments offer multiple practice sessions as there is no need for repeatedly setting up of equipment. Learners can practice as many numbers of times they desire to, so much so that the particular skill becomes a habit.
Identifying and correcting errors – Performing tasks multiple times also helps learners identify their mistakes and correct them. They can revisit procedures, eliminate errors and perform the correct steps repeatedly to get it perfect and make it habitual.
Training in controlled environments – Every case in the field is a new case and can be critical. To get that confidence to perform effectively on the job learners can gain the expertise by practicing in controlled virtual environments.
Guided training sessions to learn – Rich with prompts and feedbacks, guided VR training sessions hand-hold learners through the procedure helping them get acquainted, experienced and skilled to perform individually.
Assessment sessions test performance without prompts –
more immersive and interactive VR experiences were no more effective at arousing empathy than less expensive VR experiences such as cardboard headsets.
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more on VR and empathy in this IMS blog
https://blog.stcloudstate.edu/ims?s=vr+empathy
In what is currently a fragmented regulatory and standards landscape internationally, the EU has taken strongest interest in IoT, but from a competition perspective. The EU Commission is investigating competition questions related especially to the three dominant voice-assistants (Alexa, Google Assistant, Siri), a node for issues of data privacy and interoperability. Its recently released report hardly mentions security.
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more on IoT in this iMS blog
https://blog.stcloudstate.edu/ims?s=internet+of+things
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more on immersive training in this IMS blog
https://blog.stcloudstate.edu/ims?s=immersive+training