a “maze” of nearly a million unique education credentials in the United States, the nonprofit Credential Engine reports, including not only degrees but also badges, certificates, licenses, apprenticeships and industry certifications.
The way new kinds of credentials are being developed and awarded is “a bit like the wild West,” a study by the Rutgers University Education and Employment Research Center found.
Even before the pandemic and the subsequent labor squeeze, 39 percent of human resources managers said they spent less than a minute reading a resume, according to a survey by CareerBuilder.
Conventional higher education institutions are increasingly alarmed about the holes that have developed in a system that was previously much simpler.
A quarter of American adults now hold nondegree credentials, meaning something short of an associate or bachelor’s degree, according to federal data, and they’ve become more popular in recent years.
“As online education becomes normalized, as a credential from Google or Microsoft can get someone a job, all of a sudden we’re in an environment where higher education doesn’t have a monopoly on education,” Ahluwalia said.
The Credential Engine Registry so far includes full or partial information on about 30,000 educational credentials. That’s about 3 percent of the total it eventually hopes to list.
Metaverse Storefront Creators, Developers, and Operators
Metaverse Law Enforcement
DAO Attorneys
Cryptocurrency
Crypto Coaches and Advisors
Crypto Mortgage Specialists
Decentralization Managers
Healthcare
Amnesia Surgeons – Doctors who are skilled in removing bad memories or destructive behavior.
Memory Augmentation Therapists – Entertainment is all about the great memories it creates. Creating a better grade of memories can dramatically change who we are and pave the way for an entirely new class of humans.
Digital Implant Architects
Genetic Troubleshooters
Body Part Fabricators
AI Health Managers
Big Data
Privacy Strategists
Personal Data Managers, Archivists, and Protectors
“Augmented reality, computer vision, language processing, dialogue processing and reasoning are all AI technologies that have disrupted a variety of industries individually but never in such a coordinated and synergistic fashion,”
Laubersheimer, J., Ryan, D., & Champaign, J. (2016). InfoSkills2Go: Using Badges and Gamification to Teach Information Literacy Skills and Concepts to College-Bound High School Students. Journal of Library Administration, 56(8), 924.
From online trivia and virtual board games to complex first-person perspective video games and in-person scavenger hunts, libraries are creating games for a variety of purposes, including orientations and instruction (Broussard,2012; Mallon, 2013; Smith & Baker, 2011).
Although the line between gaming and gamification can be blurry, most scholars recognize differences. Games are interactive, involvechallenge, risk, and reward, and have rules and a goal (Pivec, Dziabenko, &Schinnerl, 2003; Becker, 2013). Gamification, on the other hand, utilizes spe-cific gaming elements, often interactivity and rewards, to make an ordinary task more engaging (Prince, 2013). The gamification layer is not the focus of an endeavor, but rather can add enjoyment and a sense of competition toa task.
Battista (2014) argues that well-executed badges could represent an authentic assessment tool, because they often require the student to tangibly demonstrate a skill, competency, or learning outcome.
Use of the badges helped the team organize the Web site and provided a hierarchy to follow once the steps for earning each badge were created.Each badge consists of three to six tasks. A task can be a tutorial, a video, a game, or a short reading assignment on a given topic. An assessment is given for each task
The fourth and final platform the group considered was BadgeOS fromLearningTimes. BadgeOS requires a WordPress installation BadgeOS was designed to work with Credly (https://credly.com/) and Mozilla Open Badges (http://openbadges.org/) as standard features. LearnDash was the most useful plugin for the project beyond BadgeOS. Available for a reasonable fee, LearnDash adds tools and features that give WordPress the ability to be used as a complete learning management system(LMS). Available for free under the GNU Public License, BuddyPress(https://buddypress.org/) is another plugin that was capable of integrating with BadgeOS as an extension. The advantage of BuddyPress for the project group was the addition of social media components and functionality to the project Web site. Go-daddy.com offered comprehensive technical support, easy application instal-lation, and competitively priced hosting packages. A 3-year hosting agree-ment was purchased that included domain registration, unlimited storageand unlimited bandwidth.
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.
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.
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.
++++++++++++++++++++++++++
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.
Document-based questions have long been a staple of social studies classrooms
Since the human brain is essentially wired to recognize patterns, computational thinking—somewhat paradoxically—doesn’t necessarily require the use of computers at all.
In a 2006 paper for the Association for Computing Machinery, computer scientist Jeanette Wing wrote a definition of computational thinking that used terms native her field—even when she was citing everyday examples. Thus, a student preparing her backpack for the day is “prefetching and caching.” Finding the shortest line at the supermarket is “performance modeling.” And performing a cost-benefit analysis on whether it makes more sense to rent versus buy is running an “online algorithm.” “Computational thinking will have become ingrained in everyone’s lives when words like algorithm and precondition are part of everyone’s vocabulary,” she writes.
three main steps:
Looking at the data: Deciding what’s worth including in the final data set, and what should be left out. What are the different tools that can help manipulate this data—from GIS tools to pen and paper?
Looking for patterns: Typically, this involves shifting to greater levels of abstraction—or conversely, getting more granular.
Decomposition: What’s a trend versus what’s an outlier to the trend? Where do things correlate, and where can you find causal inference?
