Learnlets

Secondary

Clark Quinn’s Learnings about Learning

Archives for August 2023

Top 10 tools for Learning 2023

31 August 2023 by Clark 3 Comments

Somehow I missed colleague Jane Hart’s annual survey of top 10 tools for learning ’til just today, yet it’s the last day! I’ve participated in the past, and find it a valuable chance for reflection on my own, as well as seeing the results come out. So here’s my (belated) list of top 10 tools for learning 2023.

I’m using  Harold Jarche’s Personal Knowledge Mastery framework for learning here. His categories of seek (search and feed), sense (interpret) and share (closely or broadly) seems like an interesting and relevant way to organize my tools.

Seek

I subscribe to blog posts via email, and I use Feedblitz because I use it as a way for people to sign up for Learnlets. I finally started paying so they didn’t show gross ads (you can now signup safely; they lie when they say the have ‘brand-safe’ ads), and fortunately my mail removes images (for safety, unless I ask), so I don’t see them.

I’m also continuing to explore Mastodon (@quinnovator@sfba.social). It has its problems (e.g. hard to find others, smaller overall population), but I do find the conversations to be richer.

I’m similarly experimenting with Discord. It’s a place where I can generally communicate with colleagues.

I’m using Slack as a way to stay in touch, and I regularly learn from it, too. Like the previous two, it’s both seek and share, of course.

Of course, web surfing is still a regular activity. I’ve been using DuckDuckGo as a search engine instead of more famous ones, as I like the privacy policies better.

Sense

I still use Graffle as a diagramming tool (Mac only). Though I’m intrigued to try Apple’s FreeForm, in recent cases I’ve been editing old diagrams to update, and it’s hard to switch.

Apple’s Keynote is also still my ‘goto’ presentation maker, e.g. for my LDA activities. I have to occasionally use or output to Powerpoint, but for me, it’s a more elegant tool.

I also continue to use Microsoft’s Word as a writing tool. I’ve messed with Apple’s Pages, but…it doesn’t transfer over, and some colleagues need Word. Plus, that outlining is still critical.

Share

My blog (e.g. what you’re reading ;) is still my best sharing tool, so WordPress remains a top learning tool.

LinkedIn has risen to replace Twitter (which I now minimize my use of, owing to the regressive policies that continue to emerge). It’s where I not only auto-post these screeds, but respond to others.

As a closing note, I know a lot of people are using generative AI tools as thinking partners. I’ve avoided that for several reasons. For one, it’s clear that they’ve used others’ work to build them, yet there’s no benefit to the folks whose work has been purloined. There are also mistakes.  Probably wrongly, but I still trust my brain first. So there’re my top 10 tools for learning 2023

Sloppy thinking?

29 August 2023 by Clark Leave a Comment

paint splatterOk, so I admit that I’m a bit of a pedant (and I hear you, saying “a bit?”). So, when I see categorizations, I should be more accepting of pragmatic approaches. Yet, I still get upset when I see same, when there are clear conceptual breakdowns that could be used instead. My hypothesis is that the good conceptual ones end up making the discriminations (eventually), with perhaps a bit more explanation needed, but…they don’t leave misconceptions as likely to occur. Thus, I’m not sure I’m happy with sloppy thinking.

One example comes from a textbook I’m reviewing. They’re talking about performance support, and differentiate between EPSS (electronic performance support systems), PSS (performance support systems), and MPSS (mobile performance support systems). First, wouldn’t you start with PSS as the beginning point? The definition used is online and offline. OK, so I can see EPSS as a subset of that. It’s only online, right? So why does it lead the list?

Then, MPSS is a separate category. Isn’t it a subset of EPSS? They note that it is, in fact, an EPSS on a mobile device. So it’s a subset of the first category. You’re going from the middle category to the broader and then to the narrower. That confounds a general trend to follow an order, increasing or decreasing, rather than apparently random. They do note that MPSS can do location-specific things, but that’s also a subset of doing contextually-based things. So, a wee bit facile, it seems to me.

Similarly, I’ve seen a categorization of game technologies, including having spreadsheet-based as a different category from branching. Yes, but spreadsheets are just a mechanism to implement a formal model. It can be in a spreadsheet, or code. Why does the implementation matter? Pragmatically, yes, it matters, but then have spreadsheets and code-implemented as subsets of programmed models. For that matter, you could have an analog implementation of the model!

These are fairly rigorous criteria, whereas all too often I’ll see a list of things (e.g. things you should/never do for X) that aren’t of the same type. Clearly, it’s a marketing person just aggregating a list of things, without a true understanding. I think it’s problematic, however. For one, it’s a missed opportunity to reflect important conceptual distinctions (can you tell I’ve been an educator?). For another, it might lead people to think that being scattershot is ok. Finally, it might undermine the actual development of important categorizations.

I’m willing to believe that, for practical reasons, people do need the pragmatic distinctions. I just feel that the conceptually clear ones can yield that, too. Yes, again, it may take a little more exposition, but isn’t educating folks part of the job too (e.g. good marketing is good customer education)? So, while I feel a wee bit of an old man yelling “get off my lawn”, this is the reason why I struggle with sloppy thinking. Am I off base?

We play as we practice

22 August 2023 by Clark 6 Comments

I”ve advocated, repeatedly, the importance of practice. Yet, too often, we still see an ‘event’-based model, where it’s one and done. Unfortunately, this doesn’t align with how our brains work! I was looking at one of Elevator 9‘s Liftology videos (caveat: I did the original scripting), where they mentioned ‘practice like we play’. I’d heard it before (in various incarnations), but this time it struck me that perhaps it’s the right vehicle to penetrate complacency about learning design. Should we emphasize “we play as we practice”?

The underlying phenomena is that we need lots of practice, for two reasons. For one, the ‘learning’ mechanism that strengthens our learning can only do so much before it needs sleep. If you want to truly develop a skill, sufficient practice, over time, is required. It’s like building muscle, or training for a sport; occasional practice isn’t sufficient. The right practice, repeated and improved over time, is necessary.

The other is that we are very context sensitive. That is, our consciousness is very much influenced by where and how things are happening. If you want to successfully generate transfer to many different situations (such as sales, or negotiation, or…things that happen in many different contexts with different people and different goals and…), you need sufficient practice across contexts. Our brain abstracts across the contexts seen to determine the space of transfer. Thus, we need widely varied practice to generate a generalized ability to do. 

Yet, too often, we see people getting it right ‘once’, and thinking that’s enough. It might be sufficient to tick a box, but it’s not sufficient to generate a new ability. The problem is, there’s a lot of pressure against this. Folks don’t want to take the time and money, they want to believe that new information will yield a behavior change, it’s just too hard!

So, I’m wondering if rethinking the messaging will help. If we emphasize that what we do is dependent on what we practice, maybe we can get away from the school mentality of ‘study, pass test, forget’. We want to get to the ‘practice practice practice to be good enough to play’ mentality.

I don’t know if “we play as we practice” is the best vehicle, or even one, but I’m kinda desperate, I guess. I’m very very tired of folks not getting that meaningful change requires sustained effort. And I’m really looking for a solution. It seems like this might tap into some useful mental frameworks. Can this help? If not, do you have a better solution? Please?

Beneath the surface

15 August 2023 by Clark 1 Comment

I just finished up teaching my six week workshop on the missing LXD (where we unpack nuances), when I received a message from a colleague. In it, she recited how she’s being pushed on video length. It struck me that what was missing was a finer focus, and it drove me back to previous writings. What I replied is that people focusing on video length are missing the point. I think that it’s yet another case where you need to go beneath the surface level issues. Or, as I’ve said before, details matter!

I’ve railed, e.g. in my book on myths, that our attention span hasn’t dropped down to 8 seconds. And, despite a newer book based upon research that suggests our attention span has dropped to 47 seconds, I think there’s more to it. For instance, attention is (largely; re: the cocktail party effect) volitional. We may be conditioned to be more open to being disturbed; certainly there are more and more effective distractions! Yet I don’t think our attention span capability has shifted (e.g. we don’t evolve that fast), but perhaps our intents may have changed.

For instance, we still can surface from involvement in a movie/book/game and note “how’d it get so late?” So it’s a matter of what we want or intend to attend to. In cognitive science, we separate out conation, intent or motivation (see also Self Determination Theory), that is whether we are willing to expend effort towards something. We have to have a clear reason for someone’s attention, that they accept. Then, we have to maintain it.

There is research (PDF) that suggests that video attention flags after 6 minutes. However, that’s in a particular context, and it may not be general. Again, think about attending to a movie for more than an hour! I think it helps to have a clear intent, and then maintain a commitment to it. If you do, and the audience resonates, they will attend. There’re clear benefits to practicing asceticism, but as colleague JD Dillon once opined, videos should be as long as they need to be, not arbitrarily truncated.

In short, I think folks are focusing on the wrong issues. My point to my colleague was to focus first on the relevance and value of the video, not the length. That may suggest a trim, but it also may suggest more focus on the WIIFM, and maintaining motivation. In short, you’ve got to go beneath the surface and find the real issue. Nuances matter, and we can’t expect others to go into the depths we do, but they do have to let us do our jobs. Which means we have to know our stuff. Please, do!

Don’t use AI unsupervised!

8 August 2023 by Clark Leave a Comment

A recent post on LinkedIn dubbed me in. In it, the author was decrying a post by our platform host, which mentioned Learning Styles. The post, as with several others, asks experts to weigh in. Which, I’ll suggest, is a broken model. Here’s my take on why I say don’t use AI unsupervised.

As a beginning, learning styles isn’t a thing. We’ve instruments, which don’t stand up to psychometric scrutiny. Further, reliable research to evaluate whether they have a measurable impact comes up saying ‘no’. So, despite fervent (and misguided) support, folks shouldn’t promote learning styles as a basis to adapt to. Yet that’s exactly what the article was suggesting!

So, as I’ve mentioned previously, you can’t trust the output of an LLM. They’re designed to string together sentences of the most probabilistic thing to say next. Further, they’ve been trained, essentially, on the internet. Which entails all the guff as well as the good stuff. So what can come out of it’s ‘mouth’ has a problematically high likelihood of saying something that’s utter bugwash (technical term).

In this case, LinkedIn (shamefully) is having AI write articles, and then circulating them for expert feedback. To me that’s wrong for two reasons. Each is bad enough in it’s own right, but together they’re really inexcusable.

The first reason is that they’ve a problematically high likelihood of saying something that’s utter bugwash! That gets out there, without scrutiny, obviously. Which, to me, doesn’t reflect well on LinkedIn for being willing to publicly demonstrate that they don’t review what they provide. Their unwillingness to interfere with obvious scams is bad enough, but this really seems expedient at best.

Worse, they’re asking so-called ‘experts’ to comment on it. I’ve had several requests to comment, and when I review them, they aren’t suitable for comment. However, asking folks to do this, for free on their generated content, is really asking for free work. Sure, we comment on each other’s posts. That’s part of community, helping everyone learn. And folks are contributing (mostly) their best thoughts. Willing, also, to get corrections and learn. (Ok, there’s blatant marketing and scams, but what keeps us there is community.) But when the hosting platform generates it’s own post, in ways that aren’t scrutable, and then invites people to improve it, it’s not community, it’s exploitation.

Simply, you can’t trust the output of LLMs. In general, you shouldn’t trust the output of anything, including other people, without some vetting. Some folks have earned the right to be trusted for what they say, including my own personal list of research translators. Then,  you shouldn’t ask people to comment on unscrutinized work. Even your own, unless it’s the product of legitimate thought! (For instance, I usually reread my posts, but it is hopefully also clear it’s just me thinking out loud.)

So, please don’t use AI unsupervised, or at least until you’ve done testing. For instance, you might put policies and procedures into a system, but then test the answers across a suite of potential questions. You probably can’t anticipate them all, but you can do a representative sample. Similarly, don’t trust content or questions generated by AI. Maybe we’ll solve the problem of veracity and clarity, but we haven’t yet. We can do one or the other, but not both. So, don’t use AI unsupervised!

Not Working harder

2 August 2023 by Clark Leave a Comment

Seek > Sense > Share

A colleague recently suggested that I write about how I get so much done. Which is amusing to me, since I don’t think I get done much at all! Still, her point is that I turn around requests for posts the next day, generate webinars quickly, etc. So, I thought I’d talk a bit about how I work (at risk of revealing how much I, er, goof off). It’s all about not working harder! It may be that I’m not doing a lot compared to folks who work in more normal situations, but apparently at least perceived as productive.

So, as background, I have a passion for learning. I remember sitting on the floor, poring through the (diagrams in) the World Book. My folks reinforced this, in a story I think I’ve told about how the only excuse for being excused from the dinner table was looking things up. Actually, while I did well in school, it wasn’t perfect because I was learning to learn, not to do well in school. That was just a lucky side effect. I went on and got a Ph.D. in cognitive science, which I argue is the best foundation for dealing with folks. (Channeling my advisor.)

So, I’ve been lucky to have a good foundation. I do recall another story, which I may have also regaled you with. This is about my father’s friend who succeeded in a job despite having stated to the effect that if it appeared he was asleep, he was working, and he’d still do the work of two. (He did.) The point being, that taking time to learn and reflect was useful. I did the same, spending time reading magazines with my feet up on the desk in my first job out of college, but still producing good work.

That’s continued. Including through my graduate school career, academic life, workplace work, and as a consultant. The latter wasn’t my chosen approach, it was involuntary (despite appearing to be desirable). Somehow, it became a way of life. (And I’ve realized there are lots of things I wouldn’t have been able to do if I had had a real job).  What I do, regularly, are two major things which I think are key.

The first is that I continue to learn. I read (a lot). Partly it’s to stay up on the news in general, but also try to track what happens in our field. I check in on LinkedIn, largely through the folks I follow. I’ve tried to practice Harold Jarche’s PKM, as I understand it. That is, I update the folks I follow (on a variety of media), as well as media (for instance, Twitter is dwindling and I’m now more on Mastodon).

I also allow time for my thoughts to percolate. For instance, I take walks at least a couple of times a week. I can put a question or thought in my mind and head out. To capture thoughts, I use dictation in Apple’s Notes. I also read fiction and play games, to allow thoughts to ferment. (My preferred metaphor, you can also choose percolate or incubate. ;).  I even do household chores as a way to allow time to think. Basically, it looks like I’m spending a lot of time not working. Yet, this is critical to coming up with new ideas!

I also take time to organize my thoughts. Diagramming things is one way I understand them. I blog (like this), for the same reason. These are my personal processing mechanisms. When I do presentations and write articles for others, they’re the result of the time I’ve spent here. If you look at Harold’s process, I set up good feeds to ‘seek’ (and do searches as well), I process actively, through diagramming and posting, and then I share (er, through posting) and presentations and workshops and books and…

How models connect to context to make predictions.Note that it’s not about remembering rote things, but it’s about seeing how they connect. That takes time. And work. But it pays off. I’ll suggest that turning the ideas into models, connected causal stories, helps. So, it’s about understanding how things work, not just ‘knowing’ things. It’s about being able to predict and explain outcomes, not just to tout statistics and facts.

With this prep, I can put together ideas quickly. I’ve thought them through, so I have formed opinions. It’s then much easier to decide how to string them together for a particular goal. The list of things I’ve thought about continues to grow (even if I’ve forgotten some and joyfully rediscover!). I can write it out, or create a presentation, which are basically just linear paths through the connections.

How do I have time to do this? Well, I work from home, so that makes it easier. I also don’t work a regular job, and have gotten reasonably effective at using tools to get things done. For instance, I’m now using Apple’s Reminders to track ‘todos’, along with its Calendar. (I’m cheap, so I’ve used fancier tools, but have found these suffice.) Needless to say, I’m quite serious when I say “if a commitment I make doesn’t get into my device, we never had the conversation.”

Thus, it’s about working smarter. I don’t have an org, so it’s just my practices. If you saw it, you’d see that it’s bursts of productivity combined with lots of ‘down time’. That’s hard to see, as an org, yet that’s the way we work best. As we start having tools that automate more of our rote tasks, we should retain doing creative things like painting, music, and more, not relegate that to AI. Then we can start working more like the creative beings we are, and start recognizing that taking time out for the non-productive is actually more productive. That’s how we work smarter, and are not working harder.

Clark Quinn

The Company

Search

Feedblitz (email) signup

Never miss a post
Your email address:*
Please wait...
Please enter all required fields Click to hide
Correct invalid entries Click to hide

Pages

  • About Learnlets and Quinnovation

The Serious eLearning Manifesto

Manifesto badge

Categories

  • design
  • games
  • meta-learning
  • mindmap
  • mobile
  • social
  • strategy
  • technology
  • Uncategorized
  • virtual worlds

License

Previous Posts

  • May 2025
  • April 2025
  • March 2025
  • February 2025
  • January 2025
  • December 2024
  • November 2024
  • October 2024
  • September 2024
  • August 2024
  • July 2024
  • June 2024
  • May 2024
  • April 2024
  • March 2024
  • February 2024
  • January 2024
  • December 2023
  • November 2023
  • October 2023
  • September 2023
  • August 2023
  • July 2023
  • June 2023
  • May 2023
  • April 2023
  • March 2023
  • February 2023
  • January 2023
  • December 2022
  • November 2022
  • October 2022
  • September 2022
  • August 2022
  • July 2022
  • June 2022
  • May 2022
  • April 2022
  • March 2022
  • February 2022
  • January 2022
  • December 2021
  • November 2021
  • October 2021
  • September 2021
  • August 2021
  • July 2021
  • June 2021
  • May 2021
  • April 2021
  • March 2021
  • February 2021
  • January 2021
  • December 2020
  • November 2020
  • October 2020
  • September 2020
  • August 2020
  • July 2020
  • June 2020
  • May 2020
  • April 2020
  • March 2020
  • February 2020
  • January 2020
  • December 2019
  • November 2019
  • October 2019
  • September 2019
  • August 2019
  • July 2019
  • June 2019
  • May 2019
  • April 2019
  • March 2019
  • February 2019
  • January 2019
  • December 2018
  • November 2018
  • October 2018
  • September 2018
  • August 2018
  • July 2018
  • June 2018
  • May 2018
  • April 2018
  • March 2018
  • February 2018
  • January 2018
  • December 2017
  • November 2017
  • October 2017
  • September 2017
  • August 2017
  • July 2017
  • June 2017
  • May 2017
  • April 2017
  • March 2017
  • February 2017
  • January 2017
  • December 2016
  • November 2016
  • October 2016
  • September 2016
  • August 2016
  • July 2016
  • June 2016
  • May 2016
  • April 2016
  • March 2016
  • February 2016
  • January 2016
  • December 2015
  • November 2015
  • October 2015
  • September 2015
  • August 2015
  • July 2015
  • June 2015
  • May 2015
  • April 2015
  • March 2015
  • February 2015
  • January 2015
  • December 2014
  • November 2014
  • October 2014
  • September 2014
  • August 2014
  • July 2014
  • June 2014
  • May 2014
  • April 2014
  • March 2014
  • February 2014
  • January 2014
  • December 2013
  • November 2013
  • October 2013
  • September 2013
  • August 2013
  • July 2013
  • June 2013
  • May 2013
  • April 2013
  • March 2013
  • February 2013
  • January 2013
  • December 2012
  • November 2012
  • October 2012
  • September 2012
  • August 2012
  • July 2012
  • June 2012
  • May 2012
  • April 2012
  • March 2012
  • February 2012
  • January 2012
  • December 2011
  • November 2011
  • October 2011
  • September 2011
  • August 2011
  • July 2011
  • June 2011
  • May 2011
  • April 2011
  • March 2011
  • February 2011
  • January 2011
  • December 2010
  • November 2010
  • October 2010
  • September 2010
  • August 2010
  • July 2010
  • June 2010
  • May 2010
  • April 2010
  • March 2010
  • February 2010
  • January 2010
  • December 2009
  • November 2009
  • October 2009
  • September 2009
  • August 2009
  • July 2009
  • June 2009
  • May 2009
  • April 2009
  • March 2009
  • February 2009
  • January 2009
  • December 2008
  • November 2008
  • October 2008
  • September 2008
  • August 2008
  • July 2008
  • June 2008
  • May 2008
  • April 2008
  • March 2008
  • February 2008
  • January 2008
  • December 2007
  • November 2007
  • October 2007
  • September 2007
  • August 2007
  • July 2007
  • June 2007
  • May 2007
  • April 2007
  • March 2007
  • February 2007
  • January 2007
  • December 2006
  • November 2006
  • October 2006
  • September 2006
  • August 2006
  • July 2006
  • June 2006
  • May 2006
  • April 2006
  • March 2006
  • February 2006
  • January 2006

Amazon Affiliate

Required to announce that, as an Amazon Associate, I earn from qualifying purchases. Mostly book links. Full disclosure.

We use cookies to ensure that we give you the best experience on our website. If you continue to use this site we will assume that you are happy with it.Ok