Miscommunication Leads AI-Based Hiring Tools Astray — from adigaskell.org

Nearly every Fortune 500 company now uses artificial intelligence (AI) to screen resumes and assess test scores to find the best talent. However, new research from the University of Florida suggests these AI tools might not be delivering the results hiring managers expect.

The problem stems from a simple miscommunication between humans and machines: AI thinks it’s picking someone to hire, but hiring managers only want a list of candidates to interview.

Without knowing about this next step, the AI might choose safe candidates. But if it knows there will be another round of screening, it might suggest different and potentially stronger candidates.


AI agents explained: Why OpenAI, Google and Microsoft are building smarter AI agents — from digit.in by Jayesh Shinde

In the last two years, the world has seen a lot of breakneck advancement in the Generative AI space, right from text-to-text, text-to-image and text-to-video based Generative AI capabilities. And all of that’s been nothing short of stepping stones for the next big AI breakthrough – AI agents. According to Bloomberg, OpenAI is preparing to launch its first autonomous AI agent, which is codenamed ‘Operator,’ as soon as in January 2025.

Apparently, this OpenAI agent – or Operator, as it’s codenamed – is designed to perform complex tasks independently. By understanding user commands through voice or text, this AI agent will seemingly do tasks related to controlling different applications in the computer, send an email, book flights, and no doubt other cool things. Stuff that ChatGPT, Copilot, Google Gemini or any other LLM-based chatbot just can’t do on its own.


2025: The year ‘invisible’ AI agents will integrate into enterprise hierarchies  — from venturebeat.com by Taryn Plumb

In the enterprise of the future, human workers are expected to work closely alongside sophisticated teams of AI agents.

According to McKinsey, generative AI and other technologies have the potential to automate 60 to 70% of employees’ work. And, already, an estimated one-third of American workers are using AI in the workplace — oftentimes unbeknownst to their employers.

However, experts predict that 2025 will be the year that these so-called “invisible” AI agents begin to come out of the shadows and take more of an active role in enterprise operations.

“Agents will likely fit into enterprise workflows much like specialized members of any given team,” said Naveen Rao, VP of AI at Databricks and founder and former CEO of MosaicAI.


State of AI Report 2024 Summary — from ai-supremacy.com by Michael Spencer
Part I, Consolidation, emergence and adoption. 


Which AI Image Model Is the Best Speller? Let’s Find Out! — from whytryai.com by Daniel Nest
I test 7 image models to find those that can actually write.

The contestants
I picked 7 participants for today’s challenge:

  1. DALL-E 3 by OpenAI (via Microsoft Designer)
  2. FLUX1.1 [pro] by Black Forest Labs (via Glif)
  3. Ideogram 2.0 by Ideogram (via Ideogram)
  4. Imagen 3 by Google (via Image FX)
  5. Midjourney 6.1 by Midjourney (via Midjourney)
  6. Recraft V3 by Recraft (via Recraft)
  7. Stable Diffusion 3.5 Large by Stability AI (via Hugging Face)

How to get started with AI agents (and do it right) — from venturebeat.com by Taryn Plumb

So how can enterprises choose when to adopt third-party models, open source tools or build custom, in-house fine-tuned models? Experts weigh in.


OpenAI, Google and Anthropic Are Struggling to Build More Advanced AI — from bloomberg.com (behind firewall)
Three of the leading artificial intelligence companies are seeing diminishing returns from their costly efforts to develop newer models.


OpenAI and others seek new path to smarter AI as current methods hit limitations — from reuters.com by Krystal Hu and Anna Tong

Summary

  • AI companies face delays and challenges with training new large language models
  • Some researchers are focusing on more time for inference in new models
  • Shift could impact AI arms race for resources like chips and energy

NVIDIA Advances Robot Learning and Humanoid Development With New AI and Simulation Tools — from blogs.nvidia.com by Spencer Huang
New Project GR00T workflows and AI world model development technologies to accelerate robot dexterity, control, manipulation and mobility.


How Generative AI is Revolutionizing Product Development — from intelligenthq.com

A recent report from McKinsey predicts that generative AI could unlock up to $2.6 to $4.4 annually trillion in value within product development and innovation across various industries. This staggering figure highlights just how significantly generative AI is set to transform the landscape of product development. Generative AI app development is driving innovation by using the power of advanced algorithms to generate new ideas, optimize designs, and personalize products at scale. It is also becoming a cornerstone of competitive advantage in today’s fast-paced market. As businesses look to stay ahead, understanding and integrating technologies like generative AI app development into product development processes is becoming more crucial than ever.


What are AI Agents: How To Create a Based AI Agent — from ccn.com by Lorena Nessi

Key Takeaways

  • AI agents handle complex, autonomous tasks beyond simple commands, showcasing advanced decision-making and adaptability.
  • The Based AI Agent template by Coinbase and Replit provides an easy starting point for developers to build blockchain-enabled AI agents.
  • AI based agents specifically integrate with blockchain, supporting crypto wallets and transactions.
  • Securing API keys in development is crucial to protect the agent from unauthorized access.

What are AI Agents and How Are They Used in Different Industries? — from rtinsights.com by Salvatore Salamone
AI agents enable companies to make smarter, faster, and more informed decisions. From predictive maintenance to real-time process optimization, these agents are delivering tangible benefits across industries.

 

Next-Generation Durable Skills Assessment — from gettingsmart.com by Nate McClennen

Key Points

  • Emphasizing the use of AI, VR, and simulation games, the methods in this article enhance the evaluation of durable skills, making them more accessible and practical for real-world applications.
  • The integration of educational frameworks and workplace initiatives highlights the importance of partnerships in developing reliable systems for assessing transferable skills.

 

The Magic of Storytelling: Lessons from Penn Jillette — from learningguild.com by David Kelly
This fall we’re celebrating 20 Years of DevLearn. As part of that celebration, I’m reflecting on the insights I’ve gained from some of my favorite DevLearn keynote speakers over the years. I kick off this series by revisiting The Magic of Storytelling and Learning from Penn Jillette, from DevLearn 2016.

At the heart of Jillette’s message is the power of storytelling. He demonstrates that, much like a magician’s performance, effective learning experiences are crafted from engaging narratives. These stories, although selectively told, can ethically captivate and teach, making the learning process more impactful. Jillette’s career itself is a story of transformation and adaptation, one that resonates deeply with the ongoing journey of a learning professional.


Also from The Learning Guild, see:

AI’s Fusion with Hands-On Workshops Is Transforming Learning — from learningguild.com by Markus Bernhardt

Complementing these conversational approaches are learning experiences enhanced with AI. I highlighted the fast-growing role of immersive scenarios and simulations, produced in tandem with AI and powered through AI in their delivery.

Moreover, the integration of voice interactions, advanced image processing, and augmented reality (AR) and virtual reality (VR) technologies provides additional tools to enrich learning experiences.

The rapid adoption of AI signifies a real shift for our industry, and we are able to see sparks of what is coming our way throughout 2024 and beyond.

Practicing difficult conversations
One of the most compelling applications I’ve seen lies in managerial and leadership training, specifically in navigating complex interpersonal dynamics: practicing difficult conversations. Through interactions with sophisticated avatars capable of mimicking a diverse range of employee personalities and behaviors, learners can engage in realistic scenarios that challenge their communication skills.

Beyond AI: Why Technical Skill Development is Your Next Strategic Advantage — from learningguild.com by Bill Brandon

Table 1. Most Important Transferable Skills 2024–2028

Transferable Skill Description 
Problem-solving The ability to identify, analyze, and solve complex problems.
Critical thinking The ability to think objectively, analyze information, and form sound judgments.
Communication (written & verbal) The ability to effectively convey ideas and information to others, both in writing and verbally.
Collaboration The ability to work effectively with others to achieve a common goal.
Creativity & innovation The ability to think creatively and come up with new ideas and solutions.
Digital literacy & competency The ability of everyone from CEO to workers to use digital tools and technologies effectively.
Data analysis & interpretation The ability to collect, analyze, and interpret data to draw meaningful conclusions.
Self-directed learning & adaptability The ability to take initiative to learn new things and adapt to change.
Time management & organization The ability to manage time effectively and stay organized.
Emotional intelligence & empathy The ability to understand and manage one’s own emotions, and the emotions of others.

Also for the L&D world, see:

When Business Is Just a Game — from bloomberg.com by Robb Mandelbaum
Corporate trainer Abilitie uses simulations to teach lessons in management.

When is the high-stakes, high-pressure world of the C-suite just a game? When executives at emerging companies Compuline and Nanotel met on a Wednesday evening in May to manage existing products and roll out new ones, that’s exactly what it was. The “executives” were students in…

 

Instructors as Innovators: a Future-focused Approach to New AI Learning Opportunities, With Prompts –from papers.ssrn.com by Ethan R. Mollick and Lilach Mollick

Abstract

This paper explores how instructors can leverage generative AI to create personalized learning experiences for students that transform teaching and learning. We present a range of AI-based exercises that enable novel forms of practice and application including simulations, mentoring, coaching, and co-creation. For each type of exercise, we provide prompts that instructors can customize, along with guidance on classroom implementation, assessment, and risks to consider. We also provide blueprints, prompts that help instructors create their own original prompts. Instructors can leverage their content and pedagogical expertise to design these experiences, putting them in the role of builders and innovators. We argue that this instructor-driven approach has the potential to democratize the development of educational technology by enabling individual instructors to create AI exercises and tools tailored to their students’ needs. While the exercises in this paper are a starting point, not a definitive solutions, they demonstrate AI’s potential to expand what is possible in teaching and learning.

 

Making your campus neurodivergent friendly — from timeshighereducation.com
How to create a university where neurodivergent staff and students feel welcome and thrive in the classroom, in the lab and throughout campus

Neurodivergent students and staff think about, interact with and see the world differently from their neurotypical peers and colleagues. Universities that adopt inclusive practices to welcome people with ADHD, autism, dyslexia, dyspraxia and other disabilities to campus also foster their distinct strengths and talents in the classroom, labs, boardrooms and social spaces. This collection of resources offers advice for teachers, researchers, PhD supervisors and administrators for supporting neurodiversity in higher education.


Some Colleges Will Soon Charge $100,000 a Year. How Did This Happen? — from nytimes.com by Ron Lieber; via Ryan Craig
Some Vanderbilt students will have $100,000 in total expenses for the 2024-25 school year. The school doesn’t really want to talk about it.

It was only a matter of time before a college would have the nerve to quote its cost of attendance at nearly $100,000 a year. This spring, we’re catching our first glimpse of it.

One letter to a newly admitted Vanderbilt University engineering student showed an all-in price — room, board, personal expenses, a high-octane laptop — of $98,426. A student making three trips home to Los Angeles or London from the Nashville campus during the year could hit six figures.

This eye-popping sum is an anomaly. Only a tiny fraction of college-going students will pay anything close to this anytime soon, and about 35 percent of Vanderbilt students — those who get neither need-based nor merit aid — pay the full list price.

But a few dozen other colleges and universities that reject the vast majority of applicants will probably arrive at this threshold within a few years. Their willingness to cross it raises two questions for anyone shopping for college: How did this happen, and can it possibly be worth it?


‘Running Out of Road’ for FAFSA Completion — from insidehighered.com by Liam Knox
The number of students who filled out the federal aid form is down nearly 30 percent. The ramifications for access and enrollment could be devastating.

And that’s probably an optimistic estimate, said Bill DeBaun, NCAN’s senior director of data and strategic initiatives; if the pace of completion doesn’t pick up, the decline could be closer to 700,000 students. That could translate to up to a 4 percent drop in college-goers come fall, DeBaun said, which would be the largest enrollment drop since the COVID-19 pandemic—and one that’s likely to be made up primarily of low-income and first-generation students.


Study: Nearly 40 Percent of Students Started, Never Finished College — from insidehighered.com by Kathryn Palmer
Federal researchers followed the post-secondary outcomes of 23,000 students for 12 years. 

Only 60 percent of students who enrolled in college earned a degree or credential within eight years of graduating high school.

That’s one of the biggest takeaways from a new report the National Center for Education Statistics released Monday that analyzed the enrollment, completion and financial aid outcomes of students.

The researchers tracked the postsecondary educational outcomes of roughly 23,000 students beginning in 2009 when they were freshman in high school through 2021, when the cohort was eight years out from graduating high school.


Race to the Finish | The rise of faster bachelor’s degrees raises the question: What is college for? — from chronicle.com by Kelly Field; from Jeff Selingo

Taken together, the two recent decisions illustrate a blurring of the lines between the two- and four-year sectors that is taking place not just in Idaho, but nationwide, as colleges struggle to overcome enrollment declines and skepticism about the value of a bachelor’s degree.

“It’s pretty clear that higher education is in a funk,” said Robert M. Zemsky, a University of Pennsylvania professor, who has been advocating for three-year programs for more than 15 years. “There’s a sense that we have to do something to make the product better, more relevant, and less costly to students.”


Excerpt from Next — from/by Jeff Selingo

Bottom line: While critics of a shorter degree see it as a lesser replacement for the four-year baccalaureate degree, advocates see it as another option for students who might not be interested in college at a time when enrollment is falling.

  • “We need to use this opportunity to redesign and do things better,” Carrell said. “That means that we all need to stay curious. We need to be a learning enterprise…and learn from the evidence we produce.”

Job-Ready on Day One — from the-job.beehiiv.com by Paul Fain

The U.S. faces a serious shortage of workers in the skilled trades—fields like HVAC, plumbing, electrical, solar, and construction. And those labor gaps are likely to widen as the federal government spends billions on infrastructure projects.

Employers in these industries are desperate for hires, says Doug Donovan, the founder and CEO of Interplay Learning. Yet the “challenge is not employer demand for workers,” he says, “but rather ensuring that learners learn about skilled trades careers and pursue them.”

The Austin-based Interplay offers online and VR training for workers in the skilled trades. The company was founded in 2016 with a focus on upskilling the hands-on worker. Even before the pandemic exacerbated labor shortages, Donovan says companies in these trades needed to hire workers who didn’t have all the skills required for jobs.

Interplay’s online courses and 3D, interactive simulations get close to what a learner is going to see on the job, says Donovan. “We aren’t trying to replace hands-on, instructor-led training,” he says. “We are trying to deliver tools that enhance that hands-on time or make it more efficient.”


 

 

Conversational & Experiential: The New Duality of Learning — from learningguild.com by Markus Bernhardt

Excerpt (emphasis DSC):

The future of corporate learning and development (L&D) is being profoundly reshaped by the progress we are witnessing in artificial intelligence (AI). The increasing availability of new technologies and tools is causing L&D leaders and their teams to rethink their strategy and processes, and even their team structure. The resulting shift, already gaining momentum, will soon move us toward a future where learning experiences are deeply personal, interactive, and contextually rich.

The technological advancements at the forefront of this revolution:

  • Allow us to create high-quality content faster and at a fraction of the cost previously experienced.
  • Provide us with a range of new modalities of delivery, such as chat interfaces, as well as immersive and experiential simulations and games.
  • Enable us to transform learning and training more and more into a journey uniquely tailored to each individual’s learning path, strengths, weaknesses, and confidence levels.

We are already seeing signs of the immediate future—one where AI will adapt not only content but the entire learner experience, on-the-fly and aligned with the needs and requirements of the learner at a specific moment of need.


Harnessing AI in L&D: Reviewing 2023 & Imagining the Future — from learningguild.com by Juan Naranjo

Excerpt (emphasis DSC):

AI-assisted design & development work: A dramatic shift
This prediction was right. There has been a seismic shift in instructional design, and the role is evolving toward content curation, editing, and resource orchestration. Critical thinking skills are becoming more important than ever to make sure that the final learning asset is accurate. All of this is happening thanks to AI tools like:

  • Adobe Firefly…
  • ChatGPT…
  • Another tool, one that isn’t usually part of the L&D ecosystem, is Microsoft’s Azure AI Services…

Early estimates indicate these improvements save between 30 percent and 60 percent of development time.

As a reminder, meta-learning, in this context, refers to tools that serve up experiences to learners based on their preferences, needs, and goals. It is the superstructure behind the content assets (e.g., programs, courses, articles, videos, etc.) that assembles everything into a coherent, and purposeful, body of knowledge for the users.

 

Learning Corporate Learning — Newsletter #70 — from transcend.substack.com by Alberto Arenaza and Michael Narea
A deep-dive into the corporate learning-edtech market for startups

The Transcend Newsletter explores the intersection of the future of education and the future [of] work, and the founders building it around the world.

 

Lastly, we look at four product categories within L&D:

  • Content: libraries of learning content covering a wide range of topics (Coursera & Udemy for Business, Pluralsight, Skillsoft). Live classes are increasingly a part of this category, like Electives, Section or NewCampus.
  • Upskilling: programs focused on learning new skills (upskilling) or relocation of talent within the company (reskilling), both being more intensive than just content (Multiverse, Guild).
  • Coaching: support from coaches, mentors or even peers for employees’ learning (BetterUp, CoachHub, Torch).
  • Simulations: a new wave of scalable learning experiences that creates practice scenarios for employees (Strivr, SimSkills)
 

Will one of our future learning ecosystems look like a Discord server type of service? [Christian]

 

Brainyacts #57: Education Tech— from thebrainyacts.beehiiv.com by Josh Kubicki

Excerpts:

Let’s look at some ideas of how law schools could use AI tools like Khanmigo or ChatGPT to support lectures, assignments, and discussions, or use plagiarism detection software to maintain academic integrity.

  1. Personalized learning
  2. Virtual tutors and coaches
  3. Interactive simulations
  4. Enhanced course materials
  5. Collaborative learning
  6. Automated assessment and feedback
  7. Continuous improvement
  8. Accessibility and inclusivity

AI Will Democratize Learning — from td.org by Julia Stiglitz and Sourabh Bajaj

Excerpts:

In particular, we’re betting on four trends for AI and L&D.

  1. Rapid content production
  2. Personalized content
  3. Detailed, continuous feedback
  4. Learner-driven exploration

In a world where only 7 percent of the global population has a college degree, and as many as three quarters of workers don’t feel equipped to learn the digital skills their employers will need in the future, this is the conversation people need to have.

Taken together, these trends will change the cost structure of education and give learning practitioners new superpowers. Learners of all backgrounds will be able to access quality content on any topic and receive the ongoing support they need to master new skills. Even small L&D teams will be able to create programs that have both deep and broad impact across their organizations.

The Next Evolution in Educational Technologies and Assisted Learning Enablement — from educationoneducation.substack.com by Jeannine Proctor

Excerpt:

Generative AI is set to play a pivotal role in the transformation of educational technologies and assisted learning. Its ability to personalize learning experiences, power intelligent tutoring systems, generate engaging content, facilitate collaboration, and assist in assessment and grading will significantly benefit both students and educators.

How Generative AI Will Enable Personalized Learning Experiences — from campustechnology.com by Rhea Kelly

Excerpt:

With today’s advancements in generative AI, that vision of personalized learning may not be far off from reality. We spoke with Dr. Kim Round, associate dean of the Western Governors University School of Education, about the potential of technologies like ChatGPT for learning, the need for AI literacy skills, why learning experience designers have a leg up on AI prompt engineering, and more. And get ready for more Star Trek references, because the parallels between AI and Sci Fi are futile to resist.

The Promise of Personalized Learning Never Delivered. Today’s AI Is Different — from the74million.org by John Bailey; with thanks to GSV for this resource

Excerpts:

There are four reasons why this generation of AI tools is likely to succeed where other technologies have failed:

    1. Smarter capabilities
    2. Reasoning engines
    3. Language is the interface
    4. Unprecedented scale

Latest NVIDIA Graphics Research Advances Generative AI’s Next Frontier — from blogs.nvidia.com by Aaron Lefohn
NVIDIA will present around 20 research papers at SIGGRAPH, the year’s most important computer graphics conference.

Excerpt:

NVIDIA today introduced a wave of cutting-edge AI research that will enable developers and artists to bring their ideas to life — whether still or moving, in 2D or 3D, hyperrealistic or fantastical.

Around 20 NVIDIA Research papers advancing generative AI and neural graphics — including collaborations with over a dozen universities in the U.S., Europe and Israel — are headed to SIGGRAPH 2023, the premier computer graphics conference, taking place Aug. 6-10 in Los Angeles.

The papers include generative AI models that turn text into personalized images; inverse rendering tools that transform still images into 3D objects; neural physics models that use AI to simulate complex 3D elements with stunning realism; and neural rendering models that unlock new capabilities for generating real-time, AI-powered visual details.

 

Also relevant to the item from Nvidia (above), see:

Unreal Engine’s Metahuman Creator — with thanks to Mr. Steven Chevalia for this resource

Excerpt:

MetaHuman is a complete framework that gives any creator the power to use highly realistic human characters in any way imaginable.

It includes MetaHuman Creator, a free cloud-based app that enables you to create fully rigged photorealistic digital humans in minutes.

From Unreal Engine -- Dozens of ready-made MetaHumans are at your fingertips.

 




AutoGPT is the next big thing in AI— from therundown.ai by Rowan Cheung

Excerpt:

AutoGPT has been making waves on the internet recently, trending on both GitHub and Twitter. If you thought ChatGPT was crazy, AutoGPT is about to blow your mind.

AutoGPT creates AI “agents” that operate automatically on their own and complete tasks for you. In case you’ve missed our previous issues covering it, here’s a quick rundown:

    • It’s open-sourced [code]
    • It works by chaining together LLM “thoughts”
    • It has internet access, long-term and short-term memory, access to popular websites, and file storage

.



From DSC:
I want to highlight that paper from Stanford, as I’ve seen it cited several times recently:.

Generative Agents: Interactive Simulacra of Human Behavior -- a paper from Stanford from April 2023


From DSC:
And for a rather fun idea/application of these emerging technologies, see:

  • Quick Prompt: Kitchen Design — from linusekenstam.substack.com by Linus Ekenstam
    Midjourney Prompt. Create elegant kitchen photos using this starting prompt. Make it your own, experiment, add, remove and tinker to create new ideas.

…which made me wonder how we might use these techs in the development of new learning spaces (or in renovating current learning spaces).


From DSC:
On a much different — but still potential — note, also see:

A.I. could lead to a ‘nuclear-level catastrophe’ according to a third of researchers, a new Stanford report finds — from fortune.com by Tristan Bove

Excerpt:

Many experts in A.I. and computer science say the technology is likely a watershed moment for human society. But 36% don’t mean that as a positive, warning that decisions made by A.I. could lead to “nuclear-level catastrophe,” according to researchers surveyed in an annual report on the technology by Stanford University’s Institute for Human-Centered A.I., published earlier this month.


 

VR & robotics could be the future of medical training — from vrscout.com by Kyle Melnick
FundamentalVR is partnering with Haply Robotics to provide more realistic VR surgical simulations.

VR & Robotics Could Be The Future Of Medical Training

Also relevant/see:

 

Top 6 VR learning trends in 2023 — from chieflearningofficer.com by Anders Gronstedt

Excerpt:

From virtual to mixed reality
A new class of “mixed reality” headsets will launch in 2023, promising to break the barriers between the real and virtual worlds. Meta launched a developer version of this technology a few months ago called “Quest Pro,” which superimposes computer-generated images into the real world around us. The mass-market version of this headset, Quest 3, will hit the shelves this fall for $400. Meanwhile, Apple is rumored to finally premiere a more premium mixed reality headset this spring. This can be an important step toward a vision of true augmented reality glasses that is still years away.

The new year will see the mainstream adoption of VR for safety, equipment operations and service, logistics, manufacturing, emergency response and health care training. Other applications will take several more years to mature. Current XR technology is not ripe for soft skills training, IT systems training, conferences and all-purpose collaboration (Meta can’t even get its own employees to hold regular meetings in VR). Procedural hands-on training simulations will be the edge of the new frontier of XR learning in the new year.

 

behance.net/live/   <— Check out our revamped schedule!

Join us in the morning for Adobe Express streams — If you are an aspiring creative, small business owner, or looking to kickstart a side hustle – these live streams are for you!

Then level up your skills with Creative Challenges, Bootcamps, and Pro-Tips. Get inspired by artists from all over the world during our live learning events. Tune in to connect directly with your instructors and other creatives just like you.

In the afternoon, join creatives in their own Community Streams! Laugh and create along side other Adobe Live Community members on Behance, Youtube and Twitch!

For weekly updates on the Adobe Live schedule + insight into upcoming guests and content, join our discord communities!

Watch Adobe Live Now!

 

“Tech predictions for 2023 and beyond” — from allthingsdistributed.com by Werner Vogels, Chief Technology Officer at Amazon

Excerpts:

  • Prediction 1: Cloud technologies will redefine sports as we know them
  • Prediction 2: Simulated worlds will reinvent the way we experiment
  • Prediction 3: A surge of innovation in smart energy
  • Prediction 4: The upcoming supply chain transformation
  • Prediction 5: Custom silicon goes mainstream
 

Using Virtual Reality for Career Training — from techlearning.com by Erik Ofgang
The Boys & Girls Clubs of Indiana have had success using virtual reality simulations to teach students about career opportunities.

a Woman with a virtual reality set on occupies one half of the screen. The other shows virtual tools that she is controlling.

Excerpts:

Virtual reality can help boost CTE programs and teach students about potential careers in fields they may know nothing about, says Lana Taylor from the Indiana Alliance of Boys & Girls Clubs of America.

One of those other resources has been a partnership with Transfer VR to provide students access to headsets to participate in career simulations that can give them a tactile sense of what working in certain careers might be like.

“Not all kids are meant to go to college, not all kids want to do it,” Taylor says. “So it’s important to give them some exposure to different careers and workforce paths that maybe they hadn’t thought of before.” 


AI interviews in VR prepare students for real jobseeking — from inavateonthenet.net

 
© 2024 | Daniel Christian