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

 

How to Stanch Enrollment Loss — from chronicle.com by Jeff Selingo
It’s time to stop pretending the problem will fix itself.

Excerpt:

The latest enrollment numbers from the National Student Clearinghouse Research Center, for the fall of 2022, paint an ominous picture for higher education coming out of the pandemic. Even in what many college leaders have called a “normal” fall on campuses, enrollment was down 1.1 percent across all sectors. And while the drop was smaller than the past two Covid-stricken fall semesters, colleges across every sector still have lost more than a million students since the fall of 2019.

At some point, colleges need to stop blaming the students who sat out the pandemic or the economic factors and social forces buffeting higher education for enrollment losses. Instead, institutions should look at whether the student experience they’re offering and the outcomes they’re promising provide students with a sense of belonging in the classroom and on campus and ultimately a purpose for their education.


The Key Podcast | Ep.91: The Pros and Cons of HyFlex Instruction — from insidehighered.com with Doug Lederman, Enilda Romero-Hall and Alanna Gillis

Excerpt:

During the pandemic, many colleges and universities embraced a form of blended learning called HyFlex, to mixed reviews. Is it likely to be part of colleges’ instructional strategy going forward?

This week’s episode of The Key explores HyFlex, in which students in a classroom learn synchronously alongside a cohort of peers studying remotely. HyFlex moved from a fringe phenomenon to the mainstream during the COVID-19 pandemic, and the experience was imperfect at best, for professors and students alike.

This conversation about the teaching modality features two professors who have both taught in the HyFlex format and done research on its impact.

From DSC:
When I worked for a law school, we had a Weekend Blended Learning Program.  Student evaluations of these courses constantly mentioned that these WBLP-based courses saved many students hundreds of dollars for each particular class that we offered online (i.e., cost savings in flights, hotels, meals, rental cars, parking fees, etc.).

Another thought/idea:

  • What if traditional institutions of higher education were to offer tiered pricing? That is, perhaps students participating remotely could listen in and even audit classes, but pay less.

Colleges should use K-12 performance assessments for course placement, report says — from highereddive.com by Jeremy Bauer-Wolf

Dive Brief:

  • Colleges should use K-12 performance assessments like capstone papers or portfolios for student course placements and advising, according to a recent report.
  • Typical methods of determining students’ placement in early college classes — like standardized tests — don’t fully illustrate their interests and academic potential, according to the report, which was published by postsecondary education access group Complete College America. Conversely, K-12 performance assessments ask students to demonstrate real-world skills, often in a way that ends with a tangible product.
  • The organizations recommend colleges and K-12 schools mesh their processes, such as by mutually developing a high school graduation requirement around performance assessments. This would help strengthen the K-12 school-college relationship and ease students’ transition from high school to college, the report states.

From DSC:
I post this particular item because I like the tighter integration that’s being recommended between K12 and higher education. It seems like better overall learning ecosystems design, design thinking, and on-ramping.

Along these lines, also see:

How Higher Ed Can Help Remedy K-12 Learning Losses — from insidehighered.com by Johanna Alonso
Low national scores have spurred discussion of how K-12 schools can improve student performance. Experts think institutions of higher education can help.

Excerpt:

Now educators at all levels are talking about ways to reverse the declines. Higher education leaders have already added supports for college students who suffered pandemic-related learning losses; many now aim to expand their efforts to help K-12 students who will eventually arrive on their campuses potentially with even more ground to make up.

It’s hard to tell yet what these supports will look like, but some anticipate they will involve strengthening the developmental education infrastructure that already exists for underprepared students. Others believe universities must play a role in the interventions currently ongoing at the K-12 level.


Also see:

CIN EdTech Student Survey | October 2022 — from wgulabs.org

Excerpt:

Our report shares three key takeaways:

  1. Students’ experiences with technology-enabled learning have improved since 2021.
  2. Students want online learning but institutions must overcome perceptions of lower learning quality.
  3. Students feel generally positive about an online-enabled future for higher education, but less so for themselves..

5 things colleges can do to help save the planet from climate change — from highereddive.com by Anthony Knerr
A strategy consultant explores ways colleges can improve sustainability.

Overwhelming demand for online classes is reshaping California’s community colleges — from latimes.com by Debbie Truongs; with thanks to Ray Schroeder out on LinkedIn for this resource

Excerpt:

Gallegos is among the thousands of California community college students who have changed the way they are pursuing higher education by opting for online classes in eye-popping numbers. The demand for virtual classes represents a dramatic shift in how instruction is delivered in one of the nation’s largest systems of public higher education and stands as an unexpected legacy of the pandemic.

Labster Hits Milestone of 300 Virtual Science Lab Simulations — from businesswire.com
Award-winning edtech pioneer adds new STEM titles and extensive product enhancements for interactive courseware for universities, colleges, and high schools

Excerpt:

Labster provides educators with the ability to digitally explore and enhance their science offerings and supplement their in-classroom activities. Labster virtual simulations in fields such as biology, biochemistry, genetics, biotechnology, chemistry, and physics are especially useful for pre- and post-lab assignments, so science department leads can fully optimize the time students spend on-site in high-demand physical laboratories.

AAA partners with universities to develop tech talent — from ciodive.com by Lindsey Wilkinson
Through tech internships and for-credit opportunities, the auto club established a talent pipeline that has led to new feature development.

5 enrollment trends to keep an eye on for fall 2022 — from highereddive.com by Natalie Schwartz
Although undergraduate and graduate enrollment are both down, some types of institutions saw notable increases, including HBCUs and online colleges.

 

How Might Engineering Education Transition From In-Person To Hybrid and Online Modalities? — from insidehighered.com by Joshua Kim
Three questions for Rick Hill, professor of mechanical engineering at the University of Detroit Mercy.

Excerpts:

Tools I use in my classroom, including MATLAB and Simulink, are key to recreating the in-person lab experience and giving engineering students access to the same equipment as engineers in the field. Students can gain experience analyzing data, developing algorithms and creating models. They’re developing skills in the design of systems with multidomain models, simulation and deployment without the need for code.

Virtual labs allow an instructor to easily introduce “experiments” into nonlab classes, either in the middle of a lecture or in homework. I do this with live scripts and simulation models. It saves me and the students the time of having to set up and debug the lab hardware and saves the cost and space of the physical laboratory while providing a very quick and controlled environment for doing experiments.

 

How Long Should a Branching Scenario Be?— from christytuckerlearning.com by Christy Tucker
How long should a branching scenario be? Is 45 minutes too long? Is there an ideal length for a branching scenario?

Excerpt:

Most of the time, the branching scenarios and simulations I build are around 10 minutes long. Overall, I usually end up at 5-15 minutes for branching scenarios, with interactive video scenarios being at the longer end.

From DSC:
This makes sense to me, as (up to) 6 minutes turned out to be an ideal length for videos.

Excerpt from Optimal Video Length for Student Engagement — from blog.edx.org

The optimal video length is 6 minutes or shorter — students watched most of the way through these short videos. In fact, the average engagement time of any video maxes out at 6 minutes, regardless of its length. And engagement times decrease as videos lengthen: For instance, on average students spent around 3 minutes on videos that are longer than 12 minutes, which means that they engaged with less than a quarter of the content. Finally, certificate-earning students engaged more with videos, presumably because they had greater motivation to learn the material. (These findings appeared in a recent Wall Street Journal article, An Early Report Card on Massive Open Online Courses and its accompanying infographic.)

The take-home message for instructors is that, to maximize student engagement, they should work with instructional designers and video producers to break up their lectures into small, bite-sized pieces.

 

Apple just quietly gave us the golden key to unlock the Metaverse — from medium.com by Klas Holmlund; with thanks to Ori Inbar out on Twitter for this resource

Excerpt:

But the ‘Oh wow’ moment came when I pointed the app at a window. Or a door. Because with a short pause, a correctly placed 3D model of the window snapped in place. Same with a door. But the door could be opened or closed. RoomPlan did not care. It understands a door. It understands a chair. It understands a cabinet. And when it sees any of these things, it places a model of them, with the same dimensions, in the model.

Oh, the places you will go!
OK, so what will this mean to Metaverse building? Why is this a big deal? Well, to someone who is not a 3D modeler, it is hard to overstate what amount of work has to go into generating useable geometry. The key word, here, being useable. To be able to move around, exist in a VR space it has to be optimized. You’re not going to have a fun party if your dinner guests fall through a hole in reality. This technology will let you create a fully digital twin of any space you are in in the space of time it takes you to look around.

In a future Apple VR or AR headset, this technology will obviuosly be built in. You will build a VR capable digital twin of any space you are in just by wearing the headset. All of this is optimized.

Also with thanks to Ori Inbar:


Somewhat relevant/see:

“The COVID-19 pandemic spurred us to think creatively about how we can train the next generation of electrical construction workers in a scalable and cost-effective way,” said Beau Pollock, president and CEO of TRIO Electric. “Finding electrical instructors is difficult and time-consuming, and training requires us to use the same materials that technicians use on the job. The virtual simulations not only offer learners real-world experience and hands-on practice before they go into the field, they also help us to conserve resources in the process.”


 

Top Tools for Learning 2022 [Jane Hart]

Top Tools for Learning 2022

 

Top tools for learning 2022 — from toptools4learning.com by Jane Hart

Excerpt:

In fact, it has become clear that whilst 2021 was the year of experimentation – with an explosion of tools being used as people tried out new things, 2022 has been the year of consolidation – with people reverting to their trusty old favourites. In fact, many of the tools that were knocked off their perches in 2021, have now recovered their lost ground this year.


Also somewhat relevant/see:


 
© 2024 | Daniel Christian