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Clark Quinn’s Learnings about Learning

Social Silliness

28 May 2019 by Clark 1 Comment

It’s that time again. Someone pointed me to a post that touted the benefits of social learning. And I’m a fan!  However, as I perused it, I saw that was a bit of social silliness. So, let me be clear about why.

It starts off mostly on the right foot, saying “playing off of the theory that people learn better when they learn collectively…” I’m a proponent of that theory. There are times when that’s not the most effective nor efficient approach, but there are times when it’s really valuable.

What follows in the article are a series of five tips about applying social learning. And here we go off the rails!  Let’s go through them:

  1. A Facebook Group Or A Forum, or both.  Well, yes, a group is a good idea. But Facebook is  not! Expecting everyone to have to be open to being on Facebook isn’t a good policy. While I’m on Facebook (and no, don’t connect to me there, that’s for personal relationships, not professional ones; go see me on LinkedIn ;), I know folks who aren’t and won’t be. Create your own group in your own tool, so folks know what’s being done with their data!
  2. Leaderboards. What? NOOOO!  That’s so  extrinsic  ;). Seriously, that’s the second most important tip?  Er, not. If you’re not making sure folks are finding intrinsic value in the community, go back and fix it. People (should) come because it’s worth it. Work to make it so. That’s hard, but in the end if you want to build community, start modeling and encouraging sharing, and make it safe.  Don’t do it on points.
  3. Surveys or polls. Ok, let’s put this in context. Yes, getting people to participate and collecting their opinions is good. Is this the third most important tip? No, but no points lost for this suggestion. However, let’s do it right. You can really decrease participation when you’re allowing ‘drive-by’ surveys. Have a policy, be clear, and do it  when it makes sense. This would be a subset of a more general principle about stimulating and leveraging the community, I reckon.
  4. Interactions between the L&D  Team and Employees.  This requires nuance. Not just any interactions. In a sense, L&D should be invisible, the hidden hand that keeps things moving. Facilitating, yes, where someone needs a nudge to contribute, someone else needs a nudge to  not contribute (in that way, or that often, or…), some statement needs some nuance, etc. But ultimately, the community should be interacting with each other, not L&D.
  5. elearning Courses that Require Teamwork. Back to my point above, yes,  sometimes. This is a good idea. And it can build the community skills that will carry over. You want a smooth segue from courses to community. The suggestion included, however, “only that employee can access that particular phase or section” is a lot of extra design. Why not just group assignments with facilitation to participate? It’s not a horrible idea, but not a general one.

Overall, this is nowhere near the first five tips  I would suggest about building community. I agree community’s big, but I’d be pushing:

Start small: get it working somewhere (particularly within L&D), then spread slowly to other groups.

Make it safe: ensure that there’re principles in place about what’s acceptable behavior, and that the relevant leader is sharing. If they don’t, will anyone really believe it’s safe?

Ensure value: make sure that people coming to the community will find reasons to return. To get it to critical mass, you need to nurture it. Start by seeding valuable information over time, and inviting (or incepting) some respected folk to contribute. And the surveys and polls are ways to find out what’s going on and reflect that back.  It takes effort to kick start it, but it’s critical to get people to stay engaged. As part of this:

Enable sharing: the ‘show your work‘ mentality should be encouraged. Get people showing what they’re doing (once it’s safe) enables long term benefits. This will start providing valuable content, and support the organization beginning to learn together.

Persist: success will depend on maintaining the support until the community reaches critical mass. That means a continual effort to make value, surface value until the community is doing this itself.

I’m not saying this is my official list, this is off the top of my head. However, when I look at these two lists, the problem for me is that the top list is tactical, but creating community is really a strategic initiative. Which means, it needs to be treated as such. No social silliness, it needs to be seriously addressed. So, what am I missing?

Quinnovations

16 April 2019 by Clark Leave a Comment

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!

Learning from Experimentation

5 February 2019 by Clark 3 Comments

At the recent LearnTec conference, I was on a panel with my ITA colleagues, Jane Hart, Harold Jarche, and Charles Jennings. We were talking about how to lift the game of Modern Workplace Learning, and each had staked out a position, from human performance consulting to social/informal. Mine (of course :) was at the far end, innovation.  Jane talked about how you had to walk the walk: working out loud, personal learning, coaching, etc.  It triggered a thought for me about innovating, and that meant experimentation. And it also occurred to me that it led to learning as well, and drove you to find new content. Of course I diagrammed the relationship in a quick sketch. I’ve re-rendered it here to talk about how learning from experimentation is also a critical component of workplace learning.

Increasing experimentation and even more learnings based upon contentThe starting point is experimentation.  I put in ‘now’, because that’s of course when you start. Experimentation means deciding to try new things, but not just  any things.  They should be things that would have a likelihood of improving outcomes if they work. The goal is ‘smart’ experiments, ones that are appropriate for the audience, build upon existing work, and are buttressed by principle. They may or may not be things that have worked elsewhere, but if so, they should have good outcomes (or, more unlikely, didn’t but have a environmentally-sound reason to work for you).

Failure  has to be ok.  Some experiments should not work. In fact, a failure rate above zero is important, perhaps as much as 60%!  If you can’t fail, you’re not really experimenting, and the psychological safety isn’t there along with the accountability.  You learn from failures as well as from successes, so it’s important to expect them. In fact, celebrate the lesson learned, regardless of success!

The reflections from this experimentation take some thought as well. You should have designed the experiments to answer a question, and the experimental design should have been appropriate (an A-B study, or comparing to baseline, or…).  Thus, the lesson extracted from learning from experimentation is quickly discerned. You also need to have time to extract the lesson! The learnings here move the organization forward. Experimentation is the bedrock of a learning organization,  if you consolidate the learnings. One of the key elements of Jane’s point, and others, was that you need to develop this practice of experimentation for your team. Then, when understood and underway, you can start expanding. First with willing (ideally, eager) partners, and then more broadly.

Not wanting to minimize, nor overly emphasize, the role of ‘content’, I put it in as well. The point is that in doing the experimentation, you’re likely to be driven to do some research. It could be papers, articles, blog posts, videos, podcasts, webinars, what have you. Your circumstances and interests and… who knows, maybe even courses!  It includes social interactions as well. The point is that it’s part of the learning.

What’s  not in the diagram, but is important, is sharing the learnings. First, of course, is sharing within the organization. You may have a community of practice or a mailing list that is appropriate.  That builds the culture. After that, there’s beyond the org.  If they’re proprietary, naturally you can’t. However, consider sharing an anonymized version in a local chapter meeting and/or if it’s significant enough or you get good enough feedback, go out to the field. Present at a conference, for instance!

Experimentation is critical to innovation. And innovation takes a learning organization. This includes a culture where mistakes are expected, there’s time for reflection, practices for experimentation are developed, and more.  Yet the benefits to create an agile organization are essential.  Experimentation needs to be part of your toolkit.  So get to it!

 

Locus of learning: community, AI, or org?

15 January 2019 by Clark Leave a Comment

A recent article caused me to think. Always a great thing!  It led to some reflections that I want to share. The article is about a (hypothetical) learning journey, and talks about how learning objects are part of that learning process. My issue is with the locus of the curation of those objects; should it be the organization, an AI, or the community?  I think it’s worth exploring.

The first sentence that stood out for me made a strong statement. “Choice is most productive when it is scaffolded by an organizationally-curated framework.” Curation of resources for quality and relevance is a good thing, but is the organization is the best arbiter? I’ve argued that the community of practice should determine the curriculum to be a member of that community. Similarly, the resources to support progression in the community should come from the community, both within  and outside the organization.

Relatedly, the sentence before this one states “learner choice can be a dangerous thing if left unchecked”.  And this really strikes me as the wrong model.  It’s inherently saying we don’t trust our learners to be good at learning.  I don’t  expect  learners (or SMEs for that matter) to know learning. But then, we shouldn’t leave that to chance. We should be facilitating the development of learning to learn skills explicitly, having L&D model and guide it, and more.  It’s rather an  old school approach to think that the org (through the agency of L&D) needs to control the learning.

A second line that caught my eye was that the protagonist “and his colleagues  create and share additional AI-curated briefings with each other.”  Is that AI curation, or community curation? And note that there’s ‘creation’, not just sharing.  I’m thinking that the human agency is more critical than the AI curation. AI curation has gotten good, but when a community is working, the collective intelligence is better. Or, if we’re talking IA (and we should be), we should explicitly looking to couple AI and community curation.

Another line is also curious.  “However, learning leaders must balance the popularity of informal learning with the formal, centralized needs of the organization. This can be achieved using AI-curated real-time briefings.” Count me skeptical. I believe that if you address the important issues – purpose via meaningful work and autonomy to pursue, communities of practice, and learning to learn skills – you can trust informal learning more than AI or a central view of what learning can and should be.

Most of the article was quite good, even if things like “psychological safety” are being attributed to McKenzie instead of Amy Edmondson.  I like folks looking to the future, and I understand that aligning with the status quo is a good business move. It’s just that when you get disconnects such as these, it’s an opportunity to reflect.  And wondering about the locus of responsibility for learning is a valuable exercise.  Can the locus be the individual and community, not the org or AI? Of course, better yet if we get the synergy between them.  But let’s think seriously about how to empower learners and community, ok?

 

Another Day Another Myth-Ridden Hype Piece

9 October 2018 by Clark 1 Comment

Some days, it feels like I’m playing whack-a-mole. I got an email blast from an org (need to unsubscribe) that included a link that just reeked of being a myth-ridden piece of hype.  So I clicked, and sure enough!  And, as part of my commitment to showing my thinking, I’m taking it down. I reckon it’s important to take these myths apart, to show the type of thinking we should avoid if not actively attack.  Let me know if you don’t think this is helpful.

The article starts by talking about millennials. That’s a problem right away, as millennials is an arbitrary grouping by birthdate, and therefore is inherently discriminatory. The boundaries are blurry, and most of the differences can be attributed to age, not generation. And that’s a continuum, not a group. As the data shows.  Millennials is a myth.

Ok, so they go on to say: “Changing the approach from adapting to Millennials to leveraging Millennials is the key…”  Ouch!  Maybe it’s just me, but while I like to leverage assets, I think saying that about people seems a bit rude.  Look, people are people!  You work with them, develop them, etc. Leverage them?  That sounds like you’re using them (in the derogatory sense).

They go on to talk about Learning Organizations, which I’m obviously a fan of.  And so the ability to continue to learn is important.  No argument. But why would that be specific to ‘millennials’?  Er…

Here’s another winner: “They natively understand the imperative of change and their clockspeed is already set for the accelerated learning this requires.”  This smacks of the ‘digital native’ myth.  Young people’s wetware isn’t any different than anyone else’s. They may be more comfortable with the technology, but making assumptions such as this undermines the fact that any one individual may not fit the group mean. And it’s demonstrable that their information skills aren’t any better because of their age.

We move on to 3 ways to leverage millennials:

  1. Create Cross-pollination through greater teamwork.  Yeah, this is a good strategy.  FOR EVERYONE. Why attribute it just to millennials?  Making diverse teams is just good strategy, period. Including diversity by age? Sure. By generation?  Hype. You see this  also with the ‘use games for learning’ argument for millennials. No, they’re just better learning designs! (Ok, with the caveat: if done well.)
  2. Establish a Feedback-Driven Culture to Learn and Grow Together. That’s a fabulous idea; we’re finding that moving to a coaching culture with meaningful assignments and quick feedback (not the quarterly or yearly) is valuable. We can correct course earlier, and people feel more enagaged. Again,  for everyone.
  3. Embrace a Trial-and-Error Approach to Learning to Drive Innovation. Ok, now here I think it’s going off the rails. I’m a fan of experimentation, but trial and error can be smart or random. Only one of those two makes sense. And, to be fair, they do argue for good experimentation in terms of rigor in capturing data and sharing lessons learned. It’s valuable, but again, why is this unique to millennials? It’s just a good practice for innovation.

They let us know there are 3 more ways they’ll share in their next post.  You can imagine my anticipation.  Hey, we can read  two  posts with myths, instead of just one.  Happy days!

Yes, do the right things (please), but  for the right reasons. You could be generous and suggest that they’re using millennials as a stealth tactic to sneak in messages about modern workplace learning.  I’m not, as they seem to suggest doing this largely with millennials. This sounds like hype written by a marketing person. And so, while I advocate the policies, I eschew the motivation, and therefore advise you to find better sources for your innovation practices. Let me know if this is helpful (or not ;).

Social Cognition

25 July 2018 by Clark Leave a Comment

In the two preceding posts, I discussed situated and distributed cognition. In this closing post of the series, I want to talk about social cognition. They’re related, and yet each needs explicit consideration. If we don’t know how we think, work, and learn, we can’t optimally support both performance in the moment and continual innovation over time.

The traditional definition of social cognition is how we think about social interactions.  But here I’m emphasizing instead the fact that our thinking isn’t just in our heads or our tools, but also across our partners. That’s partly distributed cognition, but I want to emphasize it.  And this is true for formal and informal learning as well as performing.

There are two ways to think about this. For one, we benefit from formal social interactions as ways to get richer interpretations. It works the same way when we are problem-solving: working together (under constraints) increases the likelihood of the best outcome. As I like to say, the room is smarter than the smartest person in the room  if you manage the process right.  The implications of this are several.

First, we need to make sure we have the right constraints. When we have people working together, it helps if it’s the right people  and the right environment.  We know that diversity helps, as long as there is overlap in values. Similarly, it needs to be psychologically safe to contribute, the environment helps to be open, and there needs to be time for reflection.

There’re also benefits to mentoring and coaching, helping people in the moment. We want to succeed, and we like to be challenged, and we learn when we are, so having scaffolding helps. Developing coaching and mentoring skills is a good investment in the workplace.

There’re also times when we want help, or someone else does and we can help. That is, we need to support serendipitous inquiry. It helps, by the way, to assist people in learning how to ask questions or answer them in useful ways. There also needs to be the channels to accomplish these goals.

Recognize that there are times when the answer can come from the network, not our own efforts. Particularly if things are changing fast, or the situation’s unique or hard to anticipate. In fact, it frees us up to do more if we take advantage of that as often as possible!  It takes nurturing the networks to become a community so that the answer’s likely to be right.

The point being, there are lots of considerations to making the ecosystem sociable as well as effectively distributed and situated.  If you want to optimize the environment, it helps to have the latest understanding of the users of that environment. Hope this makes sense, and in the spirit of social, I welcome your thoughts and comments!

Why L&D Should Lead

10 July 2018 by Clark 1 Comment

So, I’ve seen a bright future for L&D. It’s possible, and desirable.  But is it defensible?  I want to suggest that it is.  L&D  should be the business unit with the best understanding of our brains (except, perhaps, in a neurology company, e.g. medical, or a cognitive company, e.g. AI).  And I’ve argued that’s a key role. So, if we grasp that nettle and lead the change, we could and should be leading the way to a brighter new future for organizational success.

Look, cognitive science is somewhat complex. In fact, the human brain is arguably the most complex thing in the known universe!  However, we have a good understanding of cognition for the purposes of guiding learning and performance in the workplace. Or, as I like to say, understanding how we think, work, and learn.  Moreover, we really can’t (and shouldn’t) be doing our jobs unless we have that knowledge. (I have a workshop that can help. ;)

Now, it’s also becoming a cliche that the organizations that learn fastest will be the ones that thrive (not just survive, or not!). We must learn, individually and together. And knowing how to have people work and play well together, representing, reflecting, collaborating, and more  should be L&D’s role. We should be the ones who know the most and best about how to do those things in consonance with how our cognitive architecture works.

And, to be clear, there are lots of practices in organizations that are contrary to the best learning. Fear, lack of time for reflection, micro-management, old-school brainstorming, the list goes on. Without knowledge, we may firmly be convinced we’re doing it right, and instead undermining the best outcomes!  (One way to tell if it’s safe to share in your org: put in a social network. If no one participates…)  On the flip side, there are lots of practices that science tells us work. Details around formal learning, creating spaces for informal learning, practices for short-term and long-term innovation, etc.

We have an uphill battle gaining the credibility we need, but I say start now, and start small. Instill the practices within L&D, take ownership of the necessary skills and knowledge, make it work, document it, and then use that success as a stepping stone to spread the word.

Then, if we  are doing that facilitation of learning, you should be able to see that we are enabling the most important work in the organization!  We can be the key to org success, going forward. L&D should lead the change. That’s the vision I see, at least.  Does this sound good and make sense to you?

 

The ITA Jay Cross Memorial Award for 2018: Mark Britz

5 July 2018 by Clark Leave a Comment

In honor of the colleague, mentor, and friend that brought us together, every year the Internet Time Alliance presents the Jay Cross Memorial Award. The award is for an individual who represents the spirit of continuing informal learning for the workplace. This year, Mark Britz is the deserving recipient.

Jay was a fierce champion of social and informal learning. He saw that most of how we learn to do what we do comes from interacting with others.  As a response to his untimely passing, the remaining members of the ITA decided to honor his memory with an award.  Jane Hart, Harold Jarche, Charles Jennings, & myself each year collectively decide an individual who we think best reflects Jay’s vision. And we announce the recipient on the 5th of July, Jay’s birthday.

Mark has resonated and amplified the message of ongoing learning since we first crossed paths. He has interacted with the ITA members regularly via tweets, blogs, and in person when possible.  And we’ve appreciated his engagement with the ideas and his contributions to our thinking.

I got to know Mark’s thinking a bit better when he wrote a case study based upon his work at Systems Made Simple for the Revolution book (Jay wrote the foreword).  And he’s continued to blog about workplace learning at The Simple Shift with short but insightful posts. Currently part of the team running events for the eLearning Guild, Mark manages to consistently touts views that illuminate thinking about the new workplace.

The situation he cites in that case study is exemplary of this type of thinking. Charged with starting a corporate ‘university’ in an organization that was composed of many experts, he knew that ‘courses’ weren’t going to be a viable approach. Instead, he championed and built a social network that pulled these experts together to share voices. The core L&D role was one of facilitating communication and collaboration, rather than presenting information.

For his continuing work promoting communication, collaboration, and continual learning, we recognize Mark’s efforts with the 2018 Internet Time Alliance Jay Cross Memorial Award.

 

 

Mental models are the agents of learning

22 May 2018 by Clark 1 Comment

I was talking with my friend and colleague Harold Jarche about how he’s expanding his valuable Personal Knowledge Mastery to teams and at the organizational level. Walking through his diagram, what is critical, what is being exchanged, are mental models. And I thought this an interesting insight.

I’ve talked before about mental models, and they’re important for learning. What they do is provide a causal basis for understanding what happened, and predicting what  will happen.  And that’s important. From such models, we can therefore evaluate different options, and choose the one that has the best outcome.  They may not help in new areas, but they give us a basis for new and unique combinations of circumstances.

So, individually, we make decisions based upon models. In fact, our brains build models to explain the world. (Important for instruction to provide good ones.)  And so when we experiment and reflect we may try to capture these models. Senge, in The Learning Organization talked about mental models as one of his 5 disciplines.

When we’re brought in on a team as a complementary set of knowledge and skills to solve a problem, we’re coming in with our models. In the ‘coherent organization‘ model, these have been developed through our community of practice, and are brought to bear on challenges we’re addressing. Results are shared back, particularly new insights. Similarly, our communities should be tracking others for models to appropriate and adapt.

Thus, the mental tools we use in this new age of information and innovation are conceptual causal models. We need tools to capture, represent, and share these models. And most importantly, I reckon, we need to understand the nature of these models to facilitate us taking the best advantage of them.

Our models may be exchanged, but they’re not transactional. Like a smile, we can give the away and still have them. But we can, and should, continue to acquire and develop them. Models are our value to our field and organizations.

Plagiarism and ethics

17 April 2018 by Clark 1 Comment

I recently wrote on the ethics of L&D, and I note that I  didn’t  address one issue. Yet, it’s very clear that it’s still a problem. In short, I’m talking about plagiarism and attribution.  And it needs to be said.

In that article, I  did say:

That means we practice ethically, and responsibly. We want to collectively determine what that means, and act accordingly. And we must call out bad practices or beliefs.

So let me talk about one bad practice: taking or using other people’s stuff without attribution.  Most of the speakers I know can cite instances when they’ve seen their ideas (diagrams, quotes, etc) put up by others without pointing back to them.  There’s a distinction between citing something many people are talking about (innovation, microlearning, what have you) with your own interpretation, and literally taking someone’s ideas and selling them as your own.

One of our colleagues recently let me know his tools had been used by folks to earn money without any reimbursement to him (or even attribution).  Others have had their diagrams purloined and used in presentations.  One colleague found pretty much his entire presentation used by someone else!  I myself have seen my writing appear elsewhere without a link back to me, and I’m not the only one.

Many folks bother to put copyright signs on their images, but I’ve stopped because it’s too easy to edit out if you’re halfway proficient with a decent graphics package.  And you can do all sorts of things to try to protect your decks, writing, etc, but ultimately it’s very hard to protect, let alone discover that it’s happening. Who knows how many copies of someone’s images have ended up in a business presentation inside a firm!  People have asked, from time to time, and I have pretty much always agreed (and I’m grateful when they do ask). Others, I’m sure, are doing it anyway.

This isn’t the same as asking someone to work for free, which is also pretty rude. There are folks who will work for ‘exposure’, because they’re building a brand, but it’s somewhat unfair. The worst are those who charge for things, like attendance or membership, or organizations who make money, yet expect free presentations!  “Oh, you could get some business from this.”  The operative word is ‘could’.  Yet they  are!

Attribution isn’t ‘name dropping‘. It’s showing you are paying attention, and know the giants whose shoulders you stand on.  Taking other people’s work and claiming it as your own, particularly if you profit by it, is theft. Pure and simple.  It happens, but we need to call it out.  Calling it out can even be valuable; I once complained and ended up with a good connection (and an apology).

Please, please, ask for permission, call out folks who you see  are plagiarizing, and generally act in proper ways. I’m sure  you are, but overall some awareness raising still needs to happen.  Heck, I know we see amazing instances in people’s resumes and speeches of it, but it’s still not right.  The people in L&D I’ve found to be generally warm and helpful (not surprisingly). A few bad apples isn’t surprising, but we can do better. All I can do is ask you to do the right thing yourself, and call out bad behavior when you do see it.  Thanks!

 

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