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Clark Quinn’s Learnings about Learning

Working virtually

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Of late, I’ve been involved in two separate initiatives that are distributed, one nationally, one internationally. And, as with some other endeavors, I’ve been using some tools to make this work. And, finally, it really really is. I’m finding it extraordinarily productive to be working virtually.

In both endeavors, there’s trust. One’s with folks I know, which makes it easy. The other’s with folks who have an international reputation for scholarly work, and that generates an initial acceptance. Working together quickly generates that.

Working

The work itself, as with most things,  comes down to communication, collaboration, and cooperation. We’ve got initiatives to plan, draft, review, and execute. And we need to make decisions.

We’re using one social media tool to coordinate. In both cases, we’re using Slack as the primary tool for asynchronous communications. We’re setting up meetings (sometimes with the help of Doodle), asking questions, updating on occurrences, and sharing thoughts.

We’re using different tools for synchronous sessions. In one, we’re using Zoom, Blue Jeans in the other. I like Zoom a bit better because when you open the chat or the list of participants, it expands the window. In Blue Jeans, it covers a bit of the screen. Both, however, handle video streams without a problem.

And, for both, we’re using Google tools to create shared representations. Documents, and occasionally spreadsheets, mostly. I’m experimenting with their draw tools; while they’re not as smooth as OmniGraffle, they’re quite robust. It’s even fun to be working together watching several of us editing a doc at the same time!

There are always the hiccups; sometimes one or another can’t attend a meeting, or we lose track of files, but nothing that doesn’t plague co-located work. One problem that’s unique is those folks who aren’t regular users of one or the other tools. But we’ve enough peer pressure to remedy that. And, of course, these are folks who are in tech…

Reflecting

One key element, I think, is the ‘working out loud’. It’s pretty easy to share, and people do. Thinking is largely out in the open. There’re subcommittees, for instance, that may work on specific issues, and some executive discussions, but  little you  can’t see.

And we’re unconsciously working in, and consciously working on, a desirable learning culture. We’re sharing safely, considering ideas fairly, taking time to reflect, and actively seeking diversity. We experiment, and we do serendipitously review our practices (particularly when we onboard new folks).

Most importantly, this is beginning to not only feel natural, but productive.  This  is the new world of work. Using tools to handle collaboration, coordination, and cooperation (the 3 c’s?).  We’re working, and evolving too!

And, a key learning for me, is that this doesn’t preclude being co-located. Though I wonder if that would actually hurt, since hallway conversations can progress things but there’re no trails. Unless, I suppose, if you commit to immediately capture whatever emerges. That’s a cultural thing.

This working virtually is a direction I think will be productive for organizations going forward. It’s social, it’s augmented, and it’s culturally sound. It’s not to say that I won’t welcome the chance to be co-located with these folks at some point. There might even be hugs between folks who’ve never met before (that happens when you interact in a safe space online). But the important thing is that it works, well. And what else needs to be said, after all?

 

Quinnovations

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I was talking with my lass, and reminiscing about a few things. And, it occurs to me, that I may not have mentioned them all. Worse, I confess, I’m still somewhat proud of them. So, at the risk of self-aggrandizement, I thought I’d share a few of my Quinnovations. There’s a bigger list here, but this is the ‘greatest hits’ list, with some annotation. (Note, I’ve already discussed the game Quest for Independence, one of my most rewarding works.)

One project was a game based upon my PhD topic. I proposed a series of steps involved in analogical reasoning, and tested them both alone and then after some training. I found some improvement (arguing for the value of meta-learning instruction). During my post-doc, a side project was developing a game that embedded analogical reasoning in a story setting. I created a (non-existent) island, and set the story in the myths of the voodoo culture on it. The goal was a research environment for analogical reasoning; the puzzles in the game required making inferences from the culture. Most players were random, interestingly, at a test, but a couple were systematic.

With a colleague, Anne Forster, we came up with an idea for an online conference to preface a face-to-face event. This was back circa 1996, so there weren’t platforms for such. I secured the programming assistance of a couple of the techs in the office I was working for (Open Net), and we developed the environment. In it, six folks reknown in their area conducted overlapping conversations around their topic. This set up the event, and saw vibrant discussions.

A colleague at an organization I was working for, Access Australia CMC, had come up with the idea of competition for school kids to create websites about a topic. With another colleague, we brainstormed a topic for the first running of the event. In it, we had kids report on innovations in their towns that they could share with other towns (anywhere). I led the design and implementation of the competition: site and announcements, getting it up and running. It ended up generating vibrant participation and winning awards.

Upon my return to the US, I led a team to generate a learning system that developed learners’ understanding of themselves as learners. Ultimately, I conceived of a model whereby we profiled learners as to their learning characteristics (NB:  not learning styles) and adapted learning on that basis. There was a lot to it: a content model, rules for adaptation, machine learning for continuing improvement, and more. We got it up and running, and while it evaporated in 2001 (as did the organization we worked for), it’s legacy served me in several other projects. (And, while they didn’t base it on our system, to my knowledge, it’s roughly the same architecture being seen in Newton.)

Using the concept of that adaptive system, with one of my clients we pitched and won the right to develop an electronic performance support system. It ended up being a context-sensitive help system (which is what an EPSS really is ;).  I created the initial framework which the team executed against (replacing a help system created by the system engineers, not the right team to do it). The design wrote content into a framework that populated the manual (as prescribed by law)  and the help system. The client ended up getting a patent on it (with my name on too ;).

Last one I’ll mention for now, a content system for a publisher. They were going to the next generation of their online tool, and were looking for a framework to: incorporate their existing texts, guide the next generation of texts, and support multiple business models. Again pulling on that content structure experience, I gave them a structured content model that met their needs. The model was supposed to be coupled with a tech platform, and that project collapsed, meaning my model didn’t see the light of day. However, I was pleased to find out subsequently that it had a lasting impact on their subsequent works!

The point being that, in conjunction with clients and partners, I have been consistently generating innovations thru the years. I’m not an academic, tho’ I have been and know the research and theories. Instead, I’m a consultant who comes in early, applies the frameworks to come up with ideas that are both good and unique (I capitalize a lot on models I’ve collected over the years), and gets out quickly when I’m no longer adding value. Clients get an outcome that is uniquely appropriate, innovative, and effective. Ideas they likely wouldn’t have come up with on their own!  If you’d like to Quinnovate, get in touch!

Chasing Technology Good and Bad

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I’ve been complaining, as part of the myths tour, that everyone wants the magic bullet. But, as I was commenting to someone, there are huge tech opportunities we’re missing. How can I have it both ways?  Well, I’m talking about two different techs (or, rather, many).  The fact is, we’re chasing the wrong technologies.

The problem with the technologies we’re chasing is that we’re chasing them from the wrong beginning. I see people chasing microlearning, adaptive learning, video, sims, and more as  the answer. And of course that’s wrong. There  can’t be one all-singing all-dancing solution, because the nature of learning is remarkably diverse. Sometimes we need reminders, sometimes deep practice, some times individualization makes sense, and other times it’s not ideal.

The part that’s really wrong here is that they’re doing this  on top of bad design!  And, as I believe I’ve mentioned, gilded bad design is still bad design.  Moreover,  if people actually spent the time and money first on investing just in improving their learning design, they’d get a far better return on investment than chasing the latest shiny object.  AND, later investments in most anything would be better poised to actually be worthwhile.

That would seem to suggest that there’s not a sensible tech to chase. After, of course, authoring tools and creating elearning. And that’s not true. Investment in, say, sims makes sense if you’re using it to implement good design (e.g. deep practice).  As part of a good learning design  strategy.  But there’s something deeper I’m talking about. And I’ve talked about it before.

What I’m talking about are content systems. They may seem far down the pike, but let me (again) make the case about why they make sense now, and for the future. The thing is, being systematic about content has both short-term  and  long-term benefits. And you can use the short-term ones to justify the long-term ones (or vice-versa).

In the short term, thinking about content from a systems perspective offers you rigor. While that may seem off-putting, it’s actually a benefit.  If you design your content model around good learning design, you are moving towards the first step, above, about good design. And, if you write good descriptions within those elements, you  really provide a foundation that makes it difficult to do bad design.

My point is that we’re ignoring meaningful moves to chase chimera. There are real value steps to make, including formalizing design processes  and  tools about good design. And there are ways to throw your money away on the latest fad.  It’s your choice, but I hope I’ve made a case for one interpretation. So, what’s yours?

PSA SPF

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We interrupt your regularly scheduled blog series for this important public service announcement:

A number of times now, I’ve discovered that there was email being sent to me that I was  not getting. Fortunately, my ISP is also a colleague, mentor, and friend and a real expert in cybersecurity, so I asked him. And he explained it to me (and then again when I’d forgotten and it happened again; sorry Sky!).  So I’ll document it here so I can point to it in further instances. And it’s about domains and SPF, so it’s a wee bit geeky (and at the edge of my capability).  Yet it’s also important for reducing spam, and I’m  all for that. So here we go.

This started with an organization where I had been conversing with individuals.  And eventually it became clear that they had sent me a form letter, as part of a bigger mailing, and assumed I had it while I was still asking about details in said form letter. Debugging this is how I found out what happened.

Now, when an org sends you email directly, your mail system tracks the paths it takes to get to you. If it goes back to the server for the org says the mail’s from, all’s good. For certain types of mails (e.g. event-related or service-related), however, those mails are sent via a service. A good mail server should check to see if the mail the service claims is really from the org. Otherwise, you could have a lot of people sending things pretending to be from one place but … can you say ‘spam’?  Right.

So, what the org needs to do is create a really simple one-line bit of text in something called a  Sender Policy Framework (SPF) record that says “they mail on my behalf”.  E.g. the record lets the org publish a list of IP addresses or subnets that are authorized to send email on their behalf.  And, seriously, this is simple enough that  I can do it.

Yet somehow, some orgs don’t do this. Now, some mailers don’t check, but they  should! That check to the DNS entry on behalf of the org to see if there’s an SPF covering the service will help reduce spam. So my ISP checks rigorously. And then I miss mail when people haven’t done the right thing in their tech set up. When I have this type of problem, it’s pretty much one of these.

Please, please, do check that your orgs get this right if they  do use a service. That would be orgs doing mailing lists through external providers (e.g. small firms without the resources to purchase bulk mail systems). And you can ignore this if it doesn’t apply to you, but if you do have the symptoms, feel free to point people here to help them understand what to fix. I certainly will!

We now return you to your regularly scheduled blog, already in progress.

Learning Experience Portals?

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What is a learning experience platform?  Suddenly the phrase seems ubiquitous, but what does it mean?  It’s been on my mental ‘todo’ list for a while, but I finally spent some time investigating the concept. And what I found as the underlying concept mostly makes sense, but I have some challenges with the label.  So what am I talking about?

It’s ImPortal!

Some background: when I talk about the performance ecosystem, it’s not only about performance support and resources, but finding them.  Ie, it includes  the need for a portal. When I ask audiences “how many of you have portals in your org”, everyone raises their hands. What also emerges is that they have  bunches of them. Of course, they’re organized by the business unit offering them. HR, product, sales, they all have their own portals. Which doesn’t make sense. What does make sense is to have a place to go for thing organized by people’s roles and membership in different groups.

A user-centered way of organizing portals makes sense then. People need to be able to see relevant resources in a good default organization, have the ability to reorganize to a different default, and  search.  Federate the portal and search over all the sources of resources, not some subset.  I’ve suggested that it might make sense to have a system on top of the portals that pulls them together in a user-centric way.

An additional issue is that the contents of said portal should be open, in the sense that all users should be able to contribute their curated or created resources, and the resources can be in any format: video, audio, document, even interactive. In today’s era of increasing speed of change and decreasing resources for meeting the learning needs, L&D can no longer try to own everything. If you create a good culture, the system will be self-policing.

And, of course, the resources aren’t all about learning. Performance support is perfectly acceptable. The in-the-moment video is as needed as is the course on a new skill. Anything people want, whether learning resources from a library to that quick checklist should be supported.

The Learning Experience Platform(?)

As I looked into Learning Experience Platforms (LXP), (underneath all the hype) I found that they’re really portals; ways for content to be aggregated and made available. There are other possible features – libraries, AI-assistance, paths, assessments, spaced delivery – but at core they’re portals. The general claim is that they augment an LMS, not replace it. And I buy that.

The hype  is a concern: microlearning for instance (in one article that referred to the afore-mentioned in-the-moment video, glossing over that you may learn nothing from it and have to access it again). And of course exaggerated claims about who does what.  It appears several LMS companies are now calling themselves LXPs. I’ll suggest that you want such a tool designed to be a portal, not having it grafted onto to another fundamental raison-d’être. Similarly, many also claim to be social. Ratings would be a good thing, but also trying to be a social media platform would not.

Ultimately, such a capability is good. However, if I’m right, I think Learning Experience Platform isn’t the right term, really they’re portals. Both learning  and experience are wrong; they can be perform in the moment, and generally they’re about access, not generating experiences. And I could be wrong.

Take-home?

Ecosystems should be integrated from best-of-breed capabilities. One all-singing, all-dancing platform is likely to be wrong in at least one if not more of the subsidiary areas,  and you’re locked in.  I think a portal is a necessary component, and the LXPs have many performance & development  advantages for over generic portal tools.

So I laud their existence, but I question their branding. My recommendation is  always to dig beneath the label, and find the underlying concept. For instance, each of the concepts underpinning the term microlearning is valuable, but the aggregation is problematic. Confusion is an opening for error. So too with LXP: don’t get it confused with learning or creating experiences.  But do look to the genre for advanced portals.  At least, that’s my take: what’s yours?

Post popularity?

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My colleague, Will Thalheimer, asked what posts were most popular (if you blog, you can participate too).  For complicated reasons, I don’t have Google Analytics running.  However, I found I have a WordPress plugin called Page Views. It helpfully can list my posts by number of guest views.  I was surprised by the winner (and less so by the runner up). So it makes me wonder what leads to post popularity.

The winner was a post titled  New Curricula?  In it, I quote a message from a discussion that called for meta-cognitive and leadership skills, and briefly made the case to support the idea.  I certainly don’t think it was one of my most eloquent calls for this. Though, of course, I do believe in it.  So why?  I have to admit I’m inclined to believe that folks, searching on the term, came to this post rather than it was so important on it’s own merits.

Which isn’t the case with the post that had the second most views.  This one, titled  Stop creating, selling, and buying garbage!, was a rant about our industry. And this one, I believe, was popular because it could be viewed as controversial, or at least, a strong opinion.  I was trying to explain why we have so much bad elearning (c.f. the  Serious eLearning Manifesto), and talking about various stakeholders and their hand in perpetuating the sorry state of affairs.

Interestingly, I won an award last year for my post on AR (yes, I was on the committee, but we didn’t review our own).  And, I was somewhat flummoxed on that one too. Not that there weren’t good thoughts in it, but it was pretty simple in the mechanism: I (digitally) drew on some photos!  Yet clearly that made something concrete that folks had wondered about.

Of course, I think there’s also some luck or fate in it as well. Certainly, the posts I think are most interesting aren’t the ones others perceive.  But then, I’m biased. And perhaps some are used in a class so you get a number of people pointed to it or something. I really have no way to know.  I note that the posts here at Learnlets are more unformed thoughts, and my attempts at more definitive thoughts appear at the Litmos blog and now at my Quinnsights columns at Learning Solutions.

I’ll be interested in Will’s results (regardless of whether my data makes it in, because without analytics I couldn’t answer some of his questions).  And, of course, I welcome any thoughts you have about what makes a post popular (beyond SEO :), and/or what you’d  like to read!

Realities: Why AR over VR

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In the past, I’ve alluded to why I like Augmented Reality (AR) over Virtual Reality. And in a conversation this past week, I talked about realities a bit more, and I thought I’d share. Don’t get me wrong, I like VR  alot, but I think AR has the bigger potential impact.  You may or may not agree, but here’s my thinking.

In VR, you create a completely artificial context (maybe mimicking a real one).  And you can explore or act on these worlds. And the immersiveness has demonstrably improved outcomes over a non-immersive experience.  Put to uses for learning, where the affordances are leveraged appropriately, they can support  deep practice. That is, you can minimize transfer to the real world, particularly where 3D is natural. For situations where the costs of failure are high (e.g. lives), this is  the best practice before mentored live performance. And, we can do it for scales that are hard to do in flat screens: navigating molecules or microchips at one end, or large physical plants or astronomical scales at the other. And, of course, they can be completely fantastic, as well.

AR, on the other hand, layers additional information on  top of our existing reality. Whether with special glasses, or just through our mobile devices, we can elaborate on top of our visual and auditory world.  The context exists, so it’s a matter of extrapolating on it, rather than creating it whole. On the other hand, recognizing and aligning with existing context is hard.  Yet, being able to make the invisible visible where you already are, and presumably are for a reason that makes it intrinsically motivating, strikes me as a big win.

First, I think that the learning outcomes from VR are great, and I don’t mean to diminish them. However, I wonder how general they are, versus being specific to inherently spatial, and potentially social, learning.  Instead, I think there’s a longer term value proposition for AR. There’s less physical overhead in having your world annotated versus having to enter another one. While I’m not sure which will end up having greater technical overhead, the ability to add information to a setting to make it a learning one strikes me as a more generalizable capability.  And I could be wrong.

Another aspect is of interest to me, too. So my colleague was talking about mixed reality, and I honestly wondered what that was. His definition sounded like  alternate reality, as in alternate reality games. And that, to me, is also a potentially powerful learning opportunity. You can create a separate, fake but appearing real, set of experiences that are bound by story and consequences of action that can facilitate learning. We did it once with a sales training game that intruded into your world with email and voicemail. Or other situations where you have situations and consequences that intrude into your world and require decisions and actions. They don’t have  real consequences, but they do impact the outcomes. And these could be learning experiences too.

At core, to me, it’s about providing either deep practice or information at the ‘teachable moment’. Both are doable and valuable. Maybe it’s my own curiosity that wants to have information on tap, and that’s increasingly possible. Of course, I love a good experience, too. Maybe what’s really driving me is that if we facilitate meta-learning so people are good self-learners, having an annotated world will spark more ubiquitous learning. Regardless, both realities are good, and are either at the cusp or already doable.  So here’s to real learning!

Old and new school

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As I mentioned in yesterday’s post, I was asked for my responses to questions about trends.  What emerged in the resulting article, however, was pretty much contrary to what I said. I wasn’t misquoted, as I was used to set the stage, but what followed wasn’t what I said. What I saw was what I consider somewhat superficial evaluation, and I’d like to point to new school thinking instead.

So the article went from my claim about an ecosystem approach to touting three particular trends. And yet, these trends aren’t really new and aren’t really right!  They were touting mobile, gamification, and the ‘realities. And while there’s nothing wrong with any of them, I had said that I didn’t think that they’re the leading trends.

So, first, mobile is pretty much old news. Mobile first?  Er, it‘s only been 8 years or so (!) since Google declared that! What‘s cool about  mobile, still, is sensors and context-awareness, which they don‘t touch on.  And, in a repeated approach, they veered from the topic to quote a colleague. And my colleague was spot on, but it wasn’t in the least about mobile!  They ended this section talking about gamification and AR/VR, yet somehow implied that this was all about mobile. That would be “no”.

Then they talked about users wanting to be active.  Yay!  But, er, again they segued off-topic, taking personalization before going to microlearning and back to gamification and game-based learning(?).  Wait, what?  Microlearning is an ill-defined concept, and conflating it with game-based learning is just silly.  And games are real, but it‘s still hard to do them (particularly do them right, instead of tarted up drill-and-kill).  Of course, they didn‘t really stay on topic.

Finally, the realities. Here they stayed on topic, but really missed the opportunity. While AR and VR have real value, they talked about 360 photography and videography, which is about consumption, not interaction. And, that‘s not where the future is.

To go back to the initial premise – the three big trends – I think they got it wrong.  AI and data are now far more of a driver than mobile. Yes, AR/VR, but interaction, not just ‘immersion‘.  And probably the third driver is the ecosystem perspective, with systems integration and SaaS.

So, I have to say that the article was underwhelming in insight, confused in story, and wrong on topic. It’s like they just picked a quote and then went anywhere they wanted.   It’s old school thinking, and we’re beyond that. Again, my intention is not to continue to unpack wrong thinking (I’m assuming that’s not what you’re mostly here for, but let me know), but since this quoted me, I felt obliged.  It’s past time for new school thinking in L&D, because focusing on content is, like,  so last century.

Trends in L&D

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I agreed to be interviewed for an article, and was sent questions. And I wrote what I thought were cogent answers.  I even dobbed in a couple of colleagues to also be interviewed. However, the resulting article isn’t what I expected at all. Now, I don’t  intend to make all my posts critiques of what’s being said, but sometimes I guess I just can’t help myself!  So first, here’re my original answers.  In my next post, I’ll document the article’s claims, and my rejoinders about what I think are the driving trends in L&D.

The original questions and responses:

How has our thinking evolved on using technology to assist in learning and development?

Thinking around technology for Learning & Development has shifted from delivering ‘courses‘ to looking at the entire learning and performance ecosystem where technology can not only help us perform in the moment but also develop us over time. This adds performance support, resources and portals, and communication and collaboration tools to support learning alone and together from formal through to informal learning. We‘re recognizing that to move forward, organizations that can learn fastest are the ones most likely to not just survive but thrive. However, this goes beyond the tools and the people to the structures, values, and culture that underpin practices.

Do you think the current systems in use for L&D are adequate? If not, why so?

The legacy of the training mentality is keeping us mired in the past. I think that adding portal and social media capabilities to systems with a ‘course‘ DNA isn‘t the path forward. Instead, we should be looking to integrate capabilities from the best instances in every area. We want flexibility to switch tools if we find better solutions to specific needs, not one overworked legacy system. An LMS (learning management system; misnamed because you don‘t manage learning) may well still be of use to manage courses and signups, but it‘s the wrong foundation for the more agile future we need. Supporting curation and creation, and negotiating shared understandings are the learning that‘re going to be most valuable, and that requires not just different tools, but a different mindset. It‘s time to shift from delivery to facilitation.

What technology-assisted learning tools do you think hold the most potential?

Collaborative tools are the most important tools: the ability to collectively generate and manipulate representations that document how our thinking evolves are important. Such tools that support simultaneous and asynchronous work and communication will be key to the ongoing learnings that will propel organizations forward. New tools like VR can lead to deeper formal learnings, and AR will help both as performance support and annotating the world, but collaborative immersion and annotation fit into that first category. When we‘re developing an understanding together, we‘re creating the richest outcome. There are nuances in doing that right, and that‘s part of L&D‘s role too, but it‘s about tapping into the power of people. Technology that facilitates learning together is what will have the biggest impact.

What do you think is next for learning tech? Is there a huge shift coming?

I think the biggest thing coming for learning tech isn‘t the tech. The ICICLE initiative from IEEE that is defining ‘learning engineering‘ is a big move to start getting smarter about integrating the two components: learning science and technology design and development. Too often learning science is ignored (c.f. ‘rapid elearning‘) or the technical sophistication is missing (e.g. tracking done only at the ‘course‘ level). I think that once we get our minds around the importance of the integration, we‘ll be far better positioned to tap into the advancements we‘re seeing. While I think the hype about Artificial Intelligence is overblown, ultimately I believe that we‘ll have more powerful tools to automate what doesn‘t require the sophisticated capabilities of our brains, freeing us up to do the important work. And that work will be collaborating to generate new understandings. I do think there‘ll be a big shift, but it‘ll be coming along slowly. I hope this shift happens, but I think it‘s evolutionary, as change is hard.

Ok, so that’s what I said about the trends in L&D. What you will see is that what they presented is somewhat contrary to what I said here!

Distributed Cognition

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In my last post, I talked about situated cognition.  A second, and related, cognitive revelation is that thinking is distributed between our heads  and the world. That is, the model that it all occurs between the ears doesn’t recognize that we incorporate external representations are part of our processing. Hutchins, in his  Cognition in the Wild, documented a variety of ways that our thinking is an artefact of our tools  and our models.

So, for example, navigation typically involves maps as well as thinking. Business reasoning is typically accompanied by tools like a spreadsheet. We use diagrams, tables, graphs, charts, and more to help us understand situations better. And we are unlikely to be able to do things like long division without paper and pencil or a calculator. This means that putting everything in the head isn’t necessary. And this is just what we  should be doing!   Designing for the right distribution of tasks between world and mind(s) is the optimal solution.

We know that it’s difficult to get things in the head (how hard is it to learn, say, to drive), and therefore undesirable anyway.  It’s about designing solutions that put into the world what  can be in the world, and then putting into the head  what  has to be in the head. This includes performance support in a variety of ways. It also should address what we consider to be worth training.

When we want to optimize performance, we should recognize that we need a bigger picture. We need to consider the person & tools, or people & tools, as a whole entity when it comes to achieving the end goal.  This is also true for learning. Our reflective representations are part of our thinking process. So, too, our collaborative representations.

We are better thinkers  and  learners when we consciously consider tools, and their availability in the ecosystem. In fact, our ecosystem  is the tools and people we have ‘to hand’, accessible in or from the workflow. And elsewhere, in our times for reflection, and discussion. So, have you optimized your, and your organization’s thinking and learning toolset?