It’s time to redesign organized learning — from chieflearningofficer.com by Eric Albertini

Excerpt:

Organizations will need to think about three layers of learning content and access methods:

  • Thoughtfully curated by the organization for business fit.
  • Semi-curated with the learner having some control of what they learn.
  • Open for all, where the learner makes all the choices of what and how they learn.

Employee-centric learning approach. There must be a match of learning to organizational objectives as well. Non-curated, open content on platforms is great for focused and deeply aware employees but may not work for everyone, especially in cultures where self-direction is not very strong. Moreover, too much open, non-curated content, driven by non-contextual algorithms, is as detrimental to choice-making for the learner as is too little quality content.

To enable effective learning, technology must be part of a more systemic learning eco-system that includes things such as rewards (the “what’s in it for me”), building blocks from one intervention to the next and post-learning support.  

Also from chieflearningofficer.com, see:

 

Coursera is Evolving into a Third-Wave EdTech Company — from eliterate.us by Michael Feldstein

Excerpts:

This is the vision of Coursera’s three-sided platform at scale, connecting learners, educators and institutions in a global learning ecosystem designed to keep pace with our rapidly changing world.

Coursera CEO Jeff Maggioncalda

Coursera's diversified model with 3 segments -- consumer, enterprise, and degrees

The point of this slide is to show the diversification of Coursera’s business. Degree programs may be down, but enterprise licenses and direct-to-consumer certificates are up. But it also indicates Coursera’s ability to diversify revenue streams for its university content providers. The enterprise business provides a distribution channel between universities and employers. From what I can tell, it’s a Guild competitor, even though the two companies look very different on the surface. The consumer segment started as the MOOC business and has expanded into the “tweener” space between courses and degrees: certificates, microdegrees, whatever.

 

More than half of L&D pros foresee demise of in-person corporate learning, survey finds — from hrdive.com by Ryan Golden

Dive Brief:

  • Learning and development leaders increasingly see online and hybrid learning models as a permanent fixture in the talent space rather than a temporary trend, according to a survey of 515 L&D leaders at North American and European corporations by NovoEd.
  • Per the company’s survey, 83% of respondents said that hybrid work would force organizations to rethink and redesign corporate L&D offerings. Additionally, more than half said that they agreed with the sentiment that the growth of remote learning would “lead to the demise” of brick and mortar corporate learning.
  • As their organizations increase investment in the space, most L&D leaders said they would evaluate their programs by emphasizing metrics such as improvement in job performance; improvement in knowledge and competency; and application and implementation of learning.
 

Deloitte State of AI Report 2022 calls out underachievers — from venturebeat.com by Sharon Goldman

Excerpt:

Deloitte released the fifth edition of its State of AI in the Enterprise research report today, which surveyed more than 2,600 global executives on how businesses and industries are deploying and scaling artificial intelligence (AI) projects.

Most notably, the Deloitte report found that while AI continues to move tantalizingly closer to the core of the enterprise – 94% of business leaders agree that AI is critical to success over the next five years – for some, outcomes seem to be lagging.

What is a surprise, she added, is how quickly the AI landscape is changing – to the point that what began as an every-other-year Deloitte report is now created annually. 

From DSC:
I’m reminded of some graphics here…

 

Also relevant/see:

‘State of AI in the Enterprise’ Fifth Edition Uncovers Four Key Actions to Maximize AI Value — from deloitte.com
Research reveals the key actions leaders can take to accelerate AI outcomes

Key takeaways

For Deloitte’s “State of AI in the Enterprise,” Fifth Edition, we surveyed 2,620 global business leaders representing six industry areas and dozens of sectors. Key findings include:

  • Ninety-four percent of business leaders surveyed agree that AI is critical to success over the next five years.
  • Seventy-nine percent of leaders say they have fully deployed three or more AI applications, compared to 62% last year.
  • There was a 29% increase in the number of respondents self-identifying as “underachievers,” suggesting that many organizations are struggling to achieve meaningful AI outcomes.
  • Top challenges associated with scaling according to respondents are managing AI-related risk (50%), lack of executive commitment (50%), lack of maintenance and post launch support (50%).
 

With Google’s latest push, a blending of industry and higher ed — from workshift.opencampusmedia.org by Elyse Ashburn
Google’s new industry specializations were co-built by its experts and faculty at four top universities—part of a larger push to combine forces with higher education to drive economic mobility.

Excerpt:

Google is making a bigger push into higher education, partnering with name-brand universities to offer more advanced credentials that build on its signature Career Certificates program. The four new industry specializations—for fields like construction management and financial analysis—were co-designed by Google’s technical experts and university faculty with subject matter expertise.

The specializations are open to anybody on Coursera’s platform, and typically cost several hundred dollars to complete.

It’s a blending of industry and academic expertise—with an eye toward helping more Americans get high-demand jobs—that Gevelber calls a tipping point for higher education.

 

It’s time to modernize workplace development programs — from chieflearningofficer.com by Jason Mundy

Excerpts:

So, what exactly do employers need to do to improve L&D? Incorporate individualized microlearning into workforce development.

Microlearning-based L&D is used to solve key business objectives and is useful for many types of employee education, such as compliance training, on-the-job skills and administrative responsibilities. Microlearning programs can be tailored to individuals and administered in a way that is not disruptive to employees. Through modern microlearning solutions, it’s also possible to implement scenario-based learning and gamification, both of which increase employee engagement.

From DSC:
After reading this article, some questions come to my mind:

  • Who decides what’s next on the training regime for an employee?
  • Is it a team of people doing that for each position? The employee, the supervisor, two levels up supervisor(s), L&D, other? 
  • And/or is it tapping into streams of content created by former people who have done that exact job?

streams of content are ever flowing by -- we need to tap into them and contribute to them

  • For each position, is it possible to capture a knowledgebase containing which topics, learning modules/courses, blogs, websites, people to follow on social media, or other resources?
  • Is there a community of practice for each position?
  • How and who keeps these knowledgebases pruned and up-to-date? 

Hmmm…thanks for letting me think out loud with you.

 

The 5 Biggest Artificial Intelligence (AI) Trends In 2023 — from forbes.com by Bernard Marr

Excerpt:

Today, the technology most commonly used to achieve AI is machine learning – advanced software algorithms designed to carry out one specific task, such as answering questions, translating languages or navigating a journey – and become increasingly good at it as they are exposed to more and more data.

Worldwide, spending by governments and business on AI technology will top $500 billion in 2023, according to IDC research. But how will it be used, and what impact will it have? Here, I outline what I believe will be the most important trends around the use of AI in business and society over the next 12 months.


Also relevant/see:


 

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.

 

Amazon ups its cloud training investments — from workshift.opencampusmedia.org by Byelyse Ashburn
Amazon Web Services just launched a new skills center near D.C. and is expanding both its in-person and online training programs for cloud careers.

Excerpt:

The big idea: The skills center is just one part of AWS’ plan to spend hundreds of millions of dollars providing free training in cloud computing to 29 million people globally by 2025. In the past year, the company has dramatically increased its free cloud skills offerings, adding AWS Skill Builder, an online library of 500-plus self-paced courses. It’s also twice expanded re/Start, its cohort-based training program for workers who are unemployed or underemployed.

Thus far, the company has helped more than 13 million people gain cloud skills for free through its various offerings—seven million more than this time last year.

 

New Mexico College Publishes Report to Advance a National Learning and Employment Record for Skills-based Credentialing and Hiring — from prnewswire.com by Central New Mexico Community College

Excerpt (emphasis DSC):

ALBUQUERQUE, N.M.Oct. 11, 2022 /PRNewswire/ — In the current job market, applicants are usually asked to provide a broad résumé that lists the basics of their qualifications including college degrees and past work experience. It’s an outdated and inefficient system and one that Central New Mexico Community College (CNM) is now helping to improve.

Thanks to a grant from Walmart, CNM produced a comprehensive report that researches several independent efforts underway in order to build a model for creating a national Learner and Employment Records (LER) infrastructure. An LER enables the exchange of skills-based digital records that facilitate more efficient pathways from learning to earning.

An LER is more efficient and secure for both employers and job-seekers because it uses blockchain technology to provide security, trust, and transparency.

From DSC:
I still am learning about how secure blockchain-based applications are — or aren’t. But this idea of a Learner and Employment Record — which I’ve referred to on this blog as a “cloud-based learner profile” — seems to hold a lot of potential as we move into the future. Especially when the focus is increasingly on which skills a position needs and which skills an individual has.

I have used the term cloud-based learner profiles instead of LERs but the idea is the same

 

What might the ramifications be for text-to-everything? [Christian]

From DSC:

  • We can now type in text to get graphics and artwork.
  • We can now type in text to get videos.
  • There are several tools to give us transcripts of what was said during a presentation.
  • We can search videos for spoken words and/or for words listed within slides within a presentation.

Allie Miller’s posting on LinkedIn (see below) pointed these things out as well — along with several other things.



This raises some ideas/questions for me:

  • What might the ramifications be in our learning ecosystems for these types of functionalities? What affordances are forthcoming? For example, a teacher, professor, or trainer could quickly produce several types of media from the same presentation.
  • What’s said in a videoconference or a webinar can already be captured, translated, and transcribed.
  • Or what’s said in a virtual courtroom, or in a telehealth-based appointment. Or perhaps, what we currently think of as a smart/connected TV will give us these functionalities as well.
  • How might this type of thing impact storytelling?
  • Will this help someone who prefers to soak in information via the spoken word, or via a podcast, or via a video?
  • What does this mean for Augmented Reality (AR), Mixed Reality (MR), and/or Virtual Reality (VR) types of devices?
  • Will this kind of thing be standard in the next version of the Internet (Web3)?
  • Will this help people with special needs — and way beyond accessibility-related needs?
  • Will data be next (instead of typing in text)?

Hmmm….interesting times ahead.

 

New Unionization, Upskilling And The Future Of Work — from forbes.com by Daphne Kis

From DSC:
I’m not sure what I think of this article as a whole, but I like the emphasis on lifelong learning! here are some relevant excerpts, for example:

In particular, workers and businesses should take this moment to partner around the issue of education and forge new agreements about employer-provided training and reskilling.

This approach, however, is inadequate to deal with the demands of today’s global information economy, which demands continual upskilling on the part of workers.

As true job security can only be generated by continued education and training, this is in the interest of all parties.

“We need to replenish skills throughout a working career, and this calls for revisiting the models and concept of lifelong learning to create the future we want.”

 

 

Tearing the ‘paper ceiling’: McKinsey supports effort driving upward mobility for millions of workers — from mckinsey.com

Excerpt:

September 23, 2022There’s a hidden talent pool that most employers overlook—the more than 70 million workers in the US who are STARs, or workers ‘skilled through alternative routes.’ Whether through community college, workforce training, bootcamp or certificate programs, military service, or on-the-job learning, STARs have the skills for higher-wage jobs but often find themselves blocked from consideration.

This week, nonprofit Opportunity@Work and the Ad Council have launched a nationwide campaign to ‘Tear the Paper Ceiling’ and encourage employers to change hiring practices. McKinsey is providing pro bono support to the effort through data and analytics tools that enable recruiters to recognize STARs and their skills.

“While companies scramble to find talent amid a perceived skills gap, many of their job postings have needlessly excluded half of the workers in the country who have the skills for higher-wage work,” says Byron Auguste, founder of Opportunity@Work and a former senior partner at McKinsey. “Companies like the ones we’re proud to call partners in this effort—and those we hope will join—can lead the way by tapping into skilled talent from a far wider range of backgrounds.”

There are lots of reasons why someone might not begin or complete a degree that have nothing to do with their intrinsic abilities or potential. We know there are better ways to screen for talent and now we have the research and tools to back that up.

Carolyn Pierce, McKinsey partner

Also from McKinsey, see:

Latest McKinsey tech outlook identifies 14 key trends for business leaders

Excerpt:

October 4, 2022 The McKinsey Technology Council—a global group of over 100 scientists, entrepreneurs, researchers, and business leaders—has published its second annual Technology Trends Outlook. By assessing metrics of innovation, interest, investment, and adoption, the council has prioritized and synthesized 40 technologies into 14 leading trends.

Following on from last year, applied AI once again earned the highest score for innovation in the report. Sustainability, meanwhile, emerged as a major catalyst for tech around the world, with clean energy and sustainable consumption drawing the highest investment from private-equity and venture-capital firms. And five new trends were added to this year’s edition: industrializing machine learning, Web3, immersive-reality technologies, the future of mobility, and the future of space.

In this post, McKinsey senior partner Lareina Yee, expert partner Roger Roberts, and McKinsey Global Institute partner Michael Chui share their thoughts about what the findings may mean for leaders over the next few years.

 

Is Compliance Training Killing Your Learning Culture? — from learningsolutionsmag.com by Adam Weisblatt

Excerpt:

There is a disconnect in learning and development departments in most large companies: On one hand there is an obligation to meet regulatory requirements for compliance training. On the other, there is the drive to improve business outcomes by creating a culture of learning.

These two forces can clash when expectations are not well defined.

Somewhat relevant/see:

Branching Scenario Podcast with Mark Parry — from christytuckerlearning.com by Christy Tucker
Mark Parry recently interviewed me for his podcast about branching scenarios, including how feedback is used to help learners in scenarios.

 

The future of learning: Preparing your L&D organization for the new landscape of work — from chieflearningofficer.com by Vikas Joshi

Excerpt:

Two major shifts characterize today’s work: The skills economy and the hybrid work approach. Alone, they are both powerful. But together, they are completely disrupting work and learning in significant ways.

It’s an exciting time for learning and development organizations. They are stepping up to meet the changing learning needs of employees and businesses. This article outlines the new landscape of work, lists its implications for learning leaders and providers, describes solution frameworks and makes the case for preparing your L&D organization for the future of learning with digital technology.

If the challenges my client L&D organizations describe are any indication, there is a distinct pattern of struggle to keep up with the growing demands from businesses and employees. The challenges occupy a wide spectrum — rapidly shifting need patterns, content obsolescence, remote solitary learners, content overload and the lack of certainty of effective outcomes — and despite the large and ever-growing libraries of learning content, robust video-conferencing technologies and learning management systems. So, where is the problem?

The first drastic change: The skills economy is here. As technology races ahead, skill gaps have appeared, widened and morphed. There was a time when L&D organizations could get by without using technology. Not anymore. New skills are needed across all kinds of work.

 
© 2024 | Daniel Christian