From DSC:
Below are several observations re: our learning ecosystems — and some ideas on how we can continue to improve them.


It takes years to build up the knowledge and skills in order to be a solid teacher, faculty member, instructional designer, and/or trainer. It takes a lot of studying to effectively research how the brain works and how we learn. Then we retire…and the knowledge is often lost or not passed along. And the wheel gets reinvented all over again. And again. And again.

Along these lines — and though we’re making progress in this area — too often we separate the research from the practical application of that research. So we have folks working primarily in learning science, neuroscience, cognitive psychology, and related fields. But their research doesn’t always get practically applied within our learning spaces. We have researchers…and then we have practitioners. So I greatly appreciate the likes of Pooja Agarwal and Patrice Bain out at RetrievalPractice.org, Daniel Willingham, Eva Keiffenheim, The Learning Scientists, James Lang, and several others who bridge this gap.

We need to take more of the research from learning science and apply it in our learning spaces.

Perhaps more researchers, faculty members, teachers, trainers, instructional designers, principals, provosts, etc. could blog or be active out on social media.

***

Along these lines, we need to spend more time helping people know how best to study and to learn.
If that type of thing is ever to be learned, it seems like it’s often learned or discussed in the mid- to later years of one’s life…often after one’s primary and secondary days are long gone.

Instead, we should consider putting these easy-to-understand posters from the Learning Scientists in every K-12 school, college, and university in the nation — or something like them.

***

To provide the most effective engaging learning experiences, we should consider using more team-based approaches. As appropriate, that could include the students themselves.

***

We put way too much emphasis on grades — which produces gameplayers who seek only to do the minimum amount of work necessary to get the A’s.  Doing so creates systems whereby learning is not the goal — getting a 4.0+ is.

***
As we are now required to be lifelong learners, our quality of life as a whole goes waaaay up if we actually enjoy learning.  Many people discover later in life that they like to learn…they just didn’t like school. Perhaps we could place greater emphasis within K-16 on whether students enjoyed their learning experiences or not. And if not, what might have made that topic more enjoyable to them? Or what other topics would they like to dive into (that weren’t’ on the original learning menu)?

This could also apply in the corporate training/L&D space as well. Such efforts could go a long way in helping establish stronger learning cultures.

***

We don’t provide enough choice to our students. We need to do a better job of turning over more control to them in their learning journey. We turn students off to learning because we try to cram information that they don’t care about down their throats. So then we have to use the currency of grades to force them into doing the work that they could care less about doing. Their experience with learning/school can easily get soured.

Learners need: More voice. More choice. More control. -- this image was created by Daniel Christian

We need to be more responsive with our curricula. And we need to explain how the information we’re trying to relay is relevant in the real world and will be relevant in their futures.

***

So those are some ideas that I wanted to relay. Thanks for your time and for your shared interests here!

 

So while we may be a few years from plugging into the Matrix, what is becoming clear is that to survive and thrive in the coming decades, colleges and universities will need to focus on creating an online experience as compelling as their on-campus experience.

Ryan Lufkin

 

The Path Ahead for Community Colleges — from chronicle.com by Lee Gardner; PDF file here
3 ways to reset and succeed.

Excerpts:

This country often underappreciates its community colleges, but there’s no question that it needs them and the job they do. Here are three specific areas that scholars, advocates, and community-college leaders say are vital to future success for two-year institutions, and some examples of those that are trying new strategies to help themselves reset and rebuild.

  1. Rethink Enrollment
  2. Cater to Adults
  3. Look for New Leadership

 

 

From DSC:
An AI-backed platform will constantly search all job postings and present the most desired skills in the marketplace and then how to get those skills. The providers will be individuals, organizations, training providers, traditional institutions of higher education, vendors and more.

Depending upon what happens with blockchain — and if a much more energy-efficient/environmentally-friendly solution can be implemented — blockchain may be a part of that equation.

 

The Future of Education | By Futurist Gerd Leonhard | A Video for EduCanada — from futuristgerd.com

Per Gerd:

Recently, I was invited by the Embassy of Canada in Switzerland to create this special presentation and promotional video discussing the Future of Education and to explore how Canada might be leading the way. Here are some of the key points I spoke about in the video. Watch the whole thing here: the Future of Education.

 

…because by 2030, I believe, the traditional way of learning — just in case — you know storing, downloading information will be replaced by learning just in time, on-demand, learning to learn, unlearning, relearning, and the importance of being the right person. Character skills, personality skills, traits, they may very well rival the value of having the right degree.

If you learn like a robot…you’ll never have a job to begin with.

Gerd Leonhard


Also relevant/see:

The Next 10 Years: Rethinking Work and Revolutionising Education (Gerd Leonhard’s keynote in Riga) — from futuristgerd.com


 

Some learning-related tips from Eva Keiffenheim’s Learn Letter


Excerpts from Eva’s 6/15/22 letter re: learning a language — with Mathias Barra, who “has studied about 20 languages and is fluent in six”

2) The best way to mastery is by making language learning part of your life
There’s no single best way to study languages. Mathias approached every language differently.

The most important thing is to find some activities that you actually enjoy in the language. For example, you can:

  • watch a Netflix series with double subtitles with the free Language Reactor extension
  • reading a book in the language you’re learning, for example with easy readers?
  • go to radio.garden and listen to the language you’re learning
  • switch your phone settings to another language
  • write your diary in the language you’re learning

“The best way to study languages is not to limit it to study time, but to make it part of your life, for example, through exposure.”

Some tools and resources Mathias recommends:

  • iTalki offers 1-on-1 lessons in more than 150 languages
  • Journaly allows you to type a text that natives correct
  • Slowly connects you with a language tandem for writing letters
  • HiNative gets you answers from native speakers
  • Speechling helps you work on listening comprehension

See the full interview here.

And from Eva’s 6/22/22 Learn Letter:

According to this concept, there’s an optimal arousal level for task performance. The Yerkes-Dodson Law says there is an empirical relationship between stress and performance. Yerkes and Dodson discovered that the optimal arousal level depends on the complexity and difficulty of the task.

From DSC:
Reading a bit about the Yerkes-Dodson Law, I was reminded of a bad learning experience from years ago. I recall sitting in a conference room at Baxter Healthcare and I was trying to learn more about programming.  I had just been switched into a new group and my new supervisor was trying to teach me some basic items (basic to him, anyway). He was getting increasingly frustrated at me for not understanding some things. The more frustrated he got, the less I could even concentrate on what he was saying and trying to teach me. 

Along these lines, I also remember a relative trying to teach another relative some new things. Again, the more upset the “teacher” got, the less able the “learner” was able to concentrate. It didn’t end well. 

Oh…what’s that?! I’m hearing a loud “Amen!!!” coming from countless music teachers and students out there too. 

For these kinds of reasons, I want to learn more about the place of emotion in our learning ecosystems.

 

Coursera’s Global Skills Report

Excerpt from the Executive Summary:

Here are some of our top findings:

  • Digital skills are the shared language of the modern economy.
  • Women’s participation continued to rise.
  • The developing world had the highest rate of learner growth.
  • Lower levels of internet access mean lower levels of skills proficiency.
  • Courses in human skills had more learners from developed countries, while those in digital skills had more from developing ones.
  • The U.S. held steady in its overall skills proficiency ranking—yet it lost meaningful ground in core technology and data science skills.
  • Europe leads the world in skills proficiency.
  • Proficiency in technology and data science skills varies widely across the Asia-Pacific region.
  • Learners used Coursera to understand the pandemic.
 

Boost Usability of Libraries & Knowledge Hubs with Automation — from learningsolutionsmag.com by Markus Bernhardt

Excerpts (emphasis DSC):

Our article series looks at the top three areas where we see automation and AI revolutionizing the way in which successful L&D teams work: Asset libraries and knowledge hubs; hyper-personalized, truly adaptive learning; and capability mapping. This article examines the impact of AI and automation on maintaining asset libraries and knowledge hubs.

Thus, the contextualization engine becomes a powerful content management tool. It is also easy to use and requires no particular subject matter knowledge of the user; the librarian who has read everything does that for the user. And this works, of course, with articles, slide decks, audio, video, and even VR/AR content, and basically any file type.

Assets can be mapped to competencies, skills, learning objectives, departments, the requirements of a specific course or workshop, or to the horizontals and verticals of an organization’s internal restructuring model. And this takes place within seconds and minutes, and at scale.

With the ability to map content as well as practice exercises, questions, and assessments automatically into each concept’s complexity tree, it is now possible to use automation and AI to deliver adaptive and truly personalized learning content and learning paths. 
 
 

Measurement has never mattered more — from chieflearningofficer.com by Tom Griffiths
5 best practices to excel at L&D measurement in remote and hybrid work.

Excerpt:

Measuring learning has always been important, but in today’s remote and hybrid workplaces, it’s essential. You can develop, design and deliver the best training programs, but if you can’t show stakeholders across the organization that it actually “worked,” then you’re missing a crucial part of the story. Today’s remote and hybrid workplaces demonstrate that it’s more important than ever to use structured and intentional measurement methods, due to the reduced visibility and increased flexibility of our workforce. If business leaders were skeptical before about how in-person training impacted behaviors in the office, imagine how skeptical they might be now as training takes place from home in our pajamas.

Showing training results under these conditions has never been so important for learning and development. While the training environments have changed, companies still need to show that every dollar spent was a good investment. And how can we say training, or the L&D function it comes out of, is valuable if we never measure its effectiveness?

From DSC:
I agree that it helps to attempt to measure learning — and thus I posted this article by Tom Griffiths from Chief Learning Officer. That said, it’s much easier said than done. In fact, I think it’s most likely impossible to actually and accurately do so.

To me, it’s like when I was working at Kraft and we were trying to get people to use electronic mail. How would you begin to quantify the Return on Investment (ROI) from using/implementing email throughout the organization? As but one example, what happens if two people or two groups/departments are able to communicate faster and collaborate better due to electronic mail and are able to get a new product to market first?

  • How should that be quantified?
  • Is it fair to put all of the value on email/communications?
  • What about the research and the product development/testing that it took to get to that point? How should the ROI be divvied up? For how long should the ROI be attributed to email and to those other things?

Surely email helped a great deal, but to try to quantify that ROI is next to impossible, if not downright impossible. 

The same with learning. Don’t believe me? 

Well, let’s narrow the focus waaaaaaay down for a second — to make it begin to be more realistic.

What did you learn this last week?

  • Can you recall it all?
  • Did you take a pre-test and post-test on everything that you learned?
  • Can you quantify the ROI on each piece of that learning? That is, could you attach a dollar amount to all of the results of that learning? I doubt it. I couldn’t.

But were you glad that you learned those things? Were they beneficial? Do you think learning about new things is worth the trouble?

And that’s just one person looking at the last week of their learning.

Don’t get me wrong. I like the five best practices to excel at L&D measurement. They can be helpful and they can scratch the surface of obtaining such data. But at the end of the day, the C-Suite will have to accept that not everything can be neatly packaged into pieces of data and accurate ROI’s.

Should that stop them from trying to help their employees reinvent themselves? Learn new skills/upskill? No, I don’t think so either. But it’s a fool’s errand to think you’ll be able to measure all learning in one’s organization.

At the end of the day, what drives investment in L&D’s efforts needs to be an appreciation for lifelong learning and the place of learning within the culture of one’s organization. While one may not be able to fully capture the ROI from it, learning is still valuable.

If I were a Chief Learning Officer in a corporation, I’d try to make it so that everyone could get the time and budget to learn something new about ANY topic that they wanted to. Get the love of learning going! Get that yeast baked into the bread.

I’m sure that there’s much more to say about this — but that’s going to have to do it for today. 

 

How to Learn about Learning Science — from christytuckerlearning.com by Christy Tucker
How do you learn about learning science? Recommendations for people to follow, books to read, and other resources.

Excerpt:

I have written before about how research informs my work. As instructional designers, LXDs, and other L&D professionals, I think it’s important for us to learn how to design more effective learning experiences. Our work should be informed by research and evidence. But, how do you learn about learning science, especially if you don’t have a graduate degree in instructional design? These are my recommendations for people to follow, books to read, and other resources.

 

 

Shifting Skills, Moving Targets, and Remaking the Workforce — from bcg.com by Matt Sigelman, Bledi Taska, Layla O’Kane, Julia Nitschke, Rainer Strack, Jens Baier, Frank Breitling, and Ádám Kotsis; with thanks to Ryan Craig for this resource
Our analysis of more than 15 million job postings reveals the future of work.

Excerpt (emphasis DSC):

Jobs do come and go, but even more significantly, jobs change. Day by day, skill by skill, the basic building blocks of a job are repositioned, until the role looks much different than it did just five years ago. Yet the job title—and the worker in the job—may remain the same.

But even company leaders may not realize how profoundly and rapidly the jobs throughout their business and industry are evolving. A comprehensive look at job listings from 2016 through 2021 reveals significant changes in requested skills, with new skills appearing, some existing skills disappearing, and other existing skills shifting in importance.

The challenge for employers and employees alike is to keep up—or, better yet, to get ahead of the trends.

Four Big Trends
We see four big trends in skill change:

    • Digital skills, like technical fluency and abilities including data analysis, digital marketing, and networking, aren’t limited to jobs in IT.
    • Soft skills, like verbal communication, listening, and relationship building, are needed in digital occupations.
    • Visual communication has become increasingly important even outside of traditional data occupations. Experience with tools such as Tableau, MS Power BI, and Adobe Analytics is in high demand.
    • Social media skills, such as experience with Facebook, LinkedIn, and Adobe Photoshop, are in demand in the current media climate.

Also from Ryan Craig, see:

How to Really Fix Higher Ed — from theatlantic.com by Ben Sasse
Rather than wiping the slate clean on student debt, Washington should take a hard look at reforming a broken system.

Excerpts:

Most young Americans never earn a college degree, and far too many of those who do are poorly served by sclerotic institutions that offer regularly overpriced degrees producing too little life transformation, too little knowledge transmission, and too little pragmatic, real-world value.

Far too often, higher education equates value with exclusivity, and not with outcomes. The paradigmatic schools that dominate higher-ed discussions in the pages of The New York Times, The Wall Street Journal, and The Washington Post measure themselves by how many high-school seniors they reject, rather than by how many they successfully launch, by how much they bolster the moral and intellectual development of the underprivileged, or even by a crude utilitarian calculus such as the average earnings of their recent graduates.

Each of these changes will depend on breaking up the accreditation cartels. College presidents tell me that the accrediting system, which theoretically aims to ensure quality and to prevent scammers from tapping into federal education dollars, actually stifles programmatic innovation inside extant colleges and universities aiming to serve struggling and underprepared students in new ways. 


One last item here:

Learning Should Be Like Cooking — from linkedin.com by Cali Koerner Morrison

Excerpt:

We need systems of record that are learner-owned, verifiable and travel across all types of learning recognition. 1EdTech is making great strides in this direction with the comprehensive learner record and the T3 Innovation Network with the LEROpen Skills Network and Credential Engine are making great strides to level the playing field on defining all elements of skills-based learning and credentialing. We need pathways that help guide learner-earners through their career progression so they are in a constant swirl of learning and earning, leveling up with each new achievement – from a microcredenial to a master’s degree.

 

Designing for Autism, ADHD, and More: Representing Neurodivergence — from learningsolutionsmag.com by Judy Katz

Excerpt:

Understanding inclusion from a neurodiversity perspective has both a DEI component (addressed in this article), and an accessibility component (addressed in the two articles to come in this series). As learning and development professionals, applying both is not just about accommodating impairment or staying compliant with the ADA. It’s about unlocking the talents that diverse neurotypes bring.

Positives of neurodivergence
One of the best things you can do to lead to greater acceptance of neurodivergence in the workplace is to learn and reinforce to others that neurodivergent brains are often different in positive ways, despite broad negative stereotypes. Here are some examples, but remember, not all traits apply to all individuals; if you know one neurodivergent, you know one neurodivergent.

#autistics #ADHD #Aspergers #neurodivergence #DEI


Also from learningsolutionsmag.com:

Automation, AI Will Advance—and Challenge—Learning Leadership — by Markus Bernhardt

Excerpt:

The current momentum of change, seen across all sectors and industries, is unparalleled in magnitude and speed; both are accelerating. The need for businesses to adapt has arguably never been more pressing, while challenges continue to grow at an increasing pace.

The digital revolution has arrived, and we already find ourselves in the thick of it. For learning and development (L&D), the time has come that deploying automation will be key. When we look at other departments within organizations, we can no longer imagine how marketing, sales, finance, or HR would fare without automation. Here, automation has celebrated some huge successes, gathering momentum as available technology is deployed more broadly. The results are increasing efficiencies, accuracy, and speed, and at scale.

This article introduces a short series on automation and AI and their impact on L&D.


 
 

The Science of Learning: Research Meets Practice — from the-learning-agency-lab.com by Alisa Cook and Ulrich Boser; with thanks to Learning Now TV for this resource
Six Research-Based Teaching Practices Are Put Into Practice

Excerpt:

For the nation’s education system, though, the bigger question is: How do we best educate our children so that they learn better, and learn how to learn, in addition to learning what to learn? Additionally, and arguably just as challenging, is: How do we translate this body of research into classroom practice effectively?

Enter the “Science of Learning: Research Meets Practice.” The goal of the project is to get the science of learning into the hands of teaching professionals as well as to parents, school leaders, and students.

 
© 2025 | Daniel Christian