According to a 2021 report, 75% of business leaders anticipate using Augmented or Virtual Reality by 2023. VR Training solutions have become a powerful way to revamp traditional training methods, and it’s as cost-effective
A Baylor study took 20 subjects and taught them a fire safety procedure. Half with traditional methods (video presentation and reading) and half with a VR training experience. A week after their training they were all given a memory test with mock scenarios, and 70% of the VR group performed the right sequence of steps compared to 20% of the video group.
With VR, virtual environments can house as many pieces of hardware at whatever scale you’d like all at the same cost. Especially once a framework has been developed, adding new procedures, objects, or environments to your training can be designed and deployed within a few days.
Another one of the benefits of VR training is the ability for trainees to learn what they need to at their pace. If a certain training scenario is a challenge, it’s easy to reset a scenario from the beginning. If a trainee is confident in a process, they can jump to a final procedure test.
Virtual Reality allows for a risk-free environment, allowing learners to prepare themselves and train in these stressful situations without the possibility of danger.
During a VR experience, trainees can be exposed to stressful situations in safe conditions. Over time, these experiences reduce the stress or fear response of that stimuli, allowing learners to gain confidence in real scenarios. The increased multi-sensory aspect of an immersive experience can be incredibly similar to real-life stressors. In addition, there exists the ability to have controlled exposure of these situations based on the learner’s own limits.
As more sophisticated data collecting methods are being developed, such as eye or facial tracking, more metrics can be used to understand how people are reacting to VR training. This is probably most sought after in soft skills training, where emotional input plays a larger role.
VR headsets can be implemented remotely, greatly reducing the requirement for in-person training.
After studying children ages 4 to 11 on their use of screen time, a University of Michigan study found that “how children use the devices, not how much time they spend on them, is the strongest predictor of emotional or social problems connected with screen addiction.”
According to an Australian study on active and passive screen uses, there are actually two types of active screen use: physical and cognitive. Kids can actually get similar benefits to physical exercise when they play with active video game systems like the Nintendo Switch, XBox Kinect or Pokemon Go.
Playing active games has been proven to have similar effects to moderate walking, skipping and jogging. There are also plenty of active screen uses that spark the cognitive side of the brain.
Studies show that children respond to activity-based programming when it is fun, designed for them and encourages imitation or participation.
The News Feed made Facebook an actual social network. In turn, the News Feed became synonymous with social media.
Twitter’s feed was chronological, so you could tweet out a ton of links to content and get consistent clicks from your followers. Facebook’s algorithm was incredibly friendly to “link posts” that sent users to news or blog articles.
Stories let Snapchat users post a series of snaps that would last for 24 hours, and it was an immediate hit.
Stories were so absurd on LinkedIn that the company is shutting it down by the end of this month).
TikTok’s success has often been attributed to its algorithm, which is very good at predicting the type of video you’ll like. But TikTok is also so successful because it plays on the same part of our brain that makes gambling so addictive. random reinforcement
As our research showed earlier this year, people will continue to consume content in an array of different formats—from blog posts to YouTube to podcasts to good old-fashioned memes.
With the pandemic boosting its videoconferencing business, Zoom more than quadrupled its annual revenue from $622.7 million to $2.7 billion in the 12 months ending January 31, 2021.
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.
What can Narrow AI do?
There are a vast number of emerging applications for narrow AI:
Interpreting video feeds from drones carrying out visual inspections of infrastructure such as oil pipelines.
Organizing personal and business calendars.
Responding to simple customer-service queries.
Coordinating with other intelligent systems to carry out tasks like booking a hotel at a suitable time and location.
Flagging inappropriate content online, detecting wear and tear in elevators from data gathered by IoT devices.
Generating a 3D model of the world from satellite imagery… the list goes on and on.
What can General AI do?
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.
What is machine learning?
What are neural networks?
What are other types of AI?
Another area of AI research is evolutionary computation.
What is fueling the resurgence in AI?
What are the elements of machine learning?
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
Which are the leading firms in AI?
Which AI services are available?
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.
Which countries are leading the way in AI?
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.
How can I get started with AI?
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.
Instructional Design focuses on instruction, User Experience Design focuses on the user, and Learning Experience Design focuses on the learner. This is not to say that IDs don’t care about learners, or that UX designers do not work on educational products, or that LXDs spend no time thinking about instruction or users. The difference lies in who these designers orient their process towards the most – instruction, user, learner.
ID as a field tends to be more scientific and organized, following academic frameworks
UX tends to be both scientific and artistic in its approach. UX designers are informed by academic theories and frameworks, but are also flexible and artistic in finding engaging, intuitive solutions to usability issues.
LXD tends to be more artistic than scientific. While LX designers care about the learning process deeply though understanding of related learning theories and cognitive processes of learners, their primary focus is on designing visually stunning, useful, and engaging learning experiences.
IDs are typically working on products such as Courses, e-learning modules, curriculum, workshops. UX designers are typically working on products such as mobile apps, websites, digital games, software. LXDs are typically working on all these things – courses, apps, AND other forms of learning experiences which could take the form of museum exhibits, summer camps, AR interactive booklets, children’s books, movies, toys and games or any other medium that can be used to generate a learning experience.
software tools are just like paintbrushes, they don’t make an artist. Some popular paintbrushes for IDs are Adobe Captivate, Articulate Storyline, Brainshark. For UX designers some popular tools are Adobe XD, Sketch, Figma, Balsamiq. For LXDs everything Adobe Creative Cloud has to offer – and many other ID/UX tools as well (depending on what the experience design needs) come in handy.
For IDs, one of the popular frameworks is ADDIE: Analyze, Design, Development, Implement, Evaluation
For UX designers, a popular framework quoted often is Design Thinking: Empathize, Define, Ideate, Prototype, Test
For LXDs, Neils floor outlines this LXD process: Question, Research, Design, Build, Test, Improve, Launch
Nurse’s Escape is a VR game that simulates an escape room based on the five stages of the Sepsis Bundle. The purpose is to supplement nurse’s lecture-style curriculum with an interactive way to test nurse’s Sepsis knowledge. Sepsis is one of the leading causes of deaths and hospitalizations yearly, so equipping nurses with the right skills and information to treat sepsis in a timely manner can save lives and money. Help treat the millionaire’s illness before time runs out!
This game is sponsored by the University of Nebraska Medical Center’s College of Nursing-Lincoln.
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Australian hospitals leveraging VR tech to fast-track clinician training
It only takes 10 minutes to practice a procedure in a session through a VR platform such as Vantari VR.
Using flight-simulator technology, Vantari VR provides medical training using a VR headset and laptop. Its modules cover 90% of medical procedures as part of doctors’ core training and deliver steps that are recommended by college guidelines.
In Fiona Stanley Hospital, for example, over 20 registrars have been educated to perform chest drain insertions.
Vantari VR was awarded a $100,000 grant from Epic Games, the American video game company behind the online game Fortnite. Presently, the startup seeks to raise $2 million from a funding round that will close in August.
