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Clark Quinn’s Learnings about Learning

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“Engaging Learning” Book review

27 July 2006 by Clark Leave a Comment

I found a review of my book Engaging Learning, by Jon Alekson, who I don’t know. It’s a fair review; he gets what I’m trying to accomplish (making the learning experience more effective), but criticizes my writing as a bit heavy, and bemoans the lack of focus on graphics.

I’ll wear the first one, but remark that it’s remarkably light considering I was trained as an academic and rewarded for dense prose for many years. Besides, my editor praised my ‘warm tone’ :). Your mileage may vary.

As for the graphics, I’ll admit it doesn’t have as much as I’d like. On the other hand, you can actually play a couple of games mentioned in the book on the web (check out the ‘Examples’ here). I’m not a graphic designer, and had little to do in regards to the final appearance as they were done by professionals. And, on the pragmatic side, copyright permissions aren’t much fun.

I haven’t seen many reviews, so it was good to find this one.

Small changes with big impact

8 April 2025 by Clark 4 Comments

In the reality stakes, I recognize that people aren’t likely to throw their whole approach out. Instead, they make the small changes with big impact. Then, of course, they should use success to leverage the opportunity to do more. You can bring in a full evaluation of everything you do by the latest fad, but those tend to be expensive and out of date by the time they’re done.  Wherever you are, there’s room for improvement. How do you get there? By understanding how we think, work, and learn.

So, one of the things I’ve done, repeatedly across clients, is look at what they’re doing (including outputs and process). I have tended to do this in a lightweight approach, because I know most folks are sensitive to costs, and want to get the biggest bang for the buck. I’ve done so for content, for design practices, for market opportunities, and more.

To do so means I go through materials, whether products, processes, or plans, to understand the experience and look for ways to improve it. Then, we prioritize those potential opportunities. I then bring my independent observations together for a discussion on what’s useful and necessary. Of course, we always find things that don’t meet those criteria. My concluding reports typically state the goals, the current context, the applicable principles, and recommendations. I’m also happy to work with folks to see how it works out and what tweaks may be of use. Which isn’t every engagement, but it’s not infrequent.

One of the robust outcomes, for what it’s worth, is that folks get insights they (and I) didn’t expect! That may be because I’ve been an interdisciplinary mongrel, with interests in many things, or possibly because the cognitive foundations provide a basis to address most anything. Regardless, I’ve found opportunities to improve in pretty much all situations. These are at every level from how to implement a field to collect information to an assessment of the viability of a go-to-market strategy.

In short, looking at things from the perspective of how our brains work provides insights into ways in which we’ve violated that alignment. Further, it’s a reliable phenomena that pretty much everything we do has opportunities to improve. Sure, not all such moves will be worth the effort, or may conflict with what folks have learned to live with. Still, there’s a pretty-much guaranteed to be valuable changes that can be made. At least, that’s been my experience, and my clients.

What I’m really doing is a cognitive/learning audit. Basically, it’s about going through the cognitive processing cycle repeatedly through an experience. That experience can be the learner’s, the designer’s, purchaser’s, or more. Usually, all of the above! However, what you want to do is to minimize the barriers, and maximize the value. What’re the users goals, what’s  perceived, what’s considered, what’s processed, and what happens next.

There are benefits to having been actively investigating our minds for a number of decades now. I know the principles, I know how to apply them, and I also work in the real world. Also, perhaps against my own self-interest, I look to find ways to do it as easily and inexpensively as possible. I know organizations have limitations. Still, pretty much everyone benefits when you look for small changes with big impact. How about you?

Gratitude

24 December 2024 by Clark Leave a Comment

While I’ve another post I’m meaning to write, it’s not the time ;). For now, it’s time to express gratitude. Research says actually listing the things you’re grateful for improves your mind! So, time to explore what I have to be grateful for. (And I’m being positive here. ;)

One of the good things happened in the first half of the year. I had the pleasure to continue my relationship with the folks at Upside Learning. Amit Garg continued to support learning science through his deeply grounded perspective, which led to a number of good things. One was the continual ideas from Isha Sood for marketing. There were a plethora of steps around publicizing the benefits of learning science. We did webinars, presentations, videos, and more, causing me to think afresh.  Another was working with Vidya Rajagopal to bake learning science into their design practices. She prodded me about the pragmatic constraints and we collaborated on generating new ideas about how to succeed.

Speaking of proselytizing learning science, I was engaged in many activities for the Learning Development Accelerator (LDA). With my co-director Matthew Richter, and the team, we ran a wide variety of activities. While some were members-only, others were publicly available or separate events. For instance, the Learning Science Conference was an opportunity to explore the underlying concepts and research results. We greatly benefitted from the excellent presenters, who we learned much from (as did I in particular!). Stay tuned for the followup!

I’m also grateful for those who participated in a couple of the programs the LDA ran. Both the Think Like A… and the You Oughta Know: Practitioner series drew upon folks who enlarged our perspectives on related fields and doing the work. Likewise with the debates. Of course, the LDA members are also always inquiring about the nuances. The lists are long, but you know who you are; heartfelt thanks!

I also had the chance to continue my involvement with Elevator 9. I learned a lot as the focus moved from a ‘no code’ developed-solution to a focus on developing a serious platform. A benefit was when David Grad’s passion and smart focus was coupled with Page Chen’s learning background and practical experience. It was a pleasure to work with both of them, and we plan to be able to tell you more early in the next year!

Of course, Quinnovation had its own work to do, and I had some really great experiences working with folks on their projects. We looked at the contexts and goals, and figured out steps to proceed along the path. I’m grateful, as I always learn a lot working with folks, and getting the chance to meld my background with their situations and expertise to craft viable solutions. Of course, I welcome hearing if I can assist you in the coming year!

I also did lots of interviews via podcasts, which are enlightening. The many smart hosts ask interesting questions, prompting me to think (and, regularly, rethink). These were coupled with articles for Upside, LDA, and more. I found out that one article back in January for Training Journal was their most read article of that month! Like my blogging here, these are further opportunities that cause me to reprocess my previous thinking.

I’m sure there’re more folks I’m forgetting. Mea culpa, and thanks!

In all, I’ve got a lot to be grateful for. As the research says, I find it boosting my mood as I write. So thanks to the folks above who helped me continue to explore the opportunities and solutions. I’ve much to have gratitude for, and that is the best thing of all. May you, too, have much to be grateful for, and may the holidays and the new year bring you more.

 

 

 

Uniqueness

17 December 2024 by Clark 2 Comments

In a conversation yesterday, we were talking about what works in presenting yourself (in this case, for a job). I mentioned that in the US you have to perhaps overpromise, whereas my experience in Oz (coloured, as it is, by its Brit origins ;), was that you underpromise. The latter worked well for me, because I believe I tend to err on the side of quiet; I don’t like boasts. I was suggesting, in this case, that you needed what made one unique to a particular situation. Thinking further, I think I do value what is uniqueness. What do I mean?

So, to get a (proper?) Ph.D., you are expected make a unique contribution to understanding. Consider our knowledge as a giant ball, and what a thesis does is push out one tiny bump. The goal is something no one else has done. For instance, for my Ph.D., I broke analogy up into a different set of steps, and measured performance. My specification of steps was unique, but that wasn’t the contribution (in my mind, at least). What I also did was try training to improve those processes (four of the six, for reasons), and it did impact a couple, with good reasons not to have impacted the others. It wasn’t earth-shattering, by any means (I suspect no one cites my thesis!), but it was a contribution. (And, of course, it grounded me in the literature and practices.)

When I think of folks I respect, in many cases it’s because they have made a unique contribution. By the way, I suppose I should be clear: unique isn’t enough, it has to be a positive contribution (which can include ruling out things). It’s like innovation: not just an idea, but a good one!  So, for instance, Will Thalheimer’s been a proponent of evidence-informed practices, but his unique contribution is LTEM. So too with Patti Shank and multiple choice questions, Michael Allen with SAM, Harold Jarche with PKM, etc. I’m kind of thinking right now that Julie Dirksen’s new book is what’s really new!  I am inclined to think that new syntheses are also valuable.

For instance, my own books on myths and learning science are really syntheses, not new ideas. (Maybe my mobile books too?) Reflecting, I think that the three books that I wanted to publish, my first on games, my fourth on L&D strategy, and my most recent on engagement (channeling the core from the first book), are more unique contributions.  Though I will self-servingly and possibly wrongly suggest my way of thinking about contexts, models, and more are innovations. Like Allen’s CCAF (Context – Challenge – Activity – Feedback), perhaps.

Which isn’t to say syntheses that organize things into new and more comprehensible ways isn’t also a contribution. In addition to (immodestly) my afore-mentioned books in that category, I think of folks like Connie Malamed, Christy Tucker, Matthew Richter, Ruth Clark, Jane Bozarth, etc. These folks do a great job of taking received wisdom and collating and organizing it so as to be comprehensible. And I could be providing too short a shrift in some cases.

My stance is that I don’t see enough ‘uniqueness’. Original ideas are few and far between. Which may be expected, but we have to be careful. There are a lot more touted ideas than there are good ones. What really is different? What’s worth paying attention to? It’s not an easy question, and I may be too harsh. There is a role for providing different perspectives on existing things, to increase the likelihood that people hear of it. But those should be new perspectives. I’m not interested in hearing the same ideas from different folks. So, does this make sense, or am I being too harsh?

By the way, I suspect that there are more ideas than we actually hear about. I know people can be hesitant about sharing them for a variety of reasons. If you’ve got an idea, share it with someone! If they get excited, it may well be new and worthwhile. Take a chance, we may all benefit.

The enemy of the good

10 December 2024 by Clark Leave a Comment

We frequently hear that ‘perfection is the enemy of the good’. And that may well be true. However, I want to suggest that there’s another enemy that plagues us as learning experience designers. We may be trying to do good, but there are barriers. These are worthy of explicit discussion.

You also hear about the holy trinity of engineering: cheap, fast, or good; pick two. We have real world pressures that want us to do things efficiently. For instance, we have lots of claims that generative AI will allow us to generate more learning faster. Thus, we can do more with less. Which isn’t a bad thing…if what we produce is good enough. If we’re doing good, I’ll suggest, then we can worry about fast and cheap. But doing bad faster and cheaper isn’t a good thing! Which brings us to the second issue.

What is our definition of ‘good’? It appears that, too often, good is if people ‘like’ it. Which isn’t a bad thing, it’s even the first level in the Kirkpatrick-Katzell model: asking what people think of the experience. One small problem: the correlation between what people think of an experience, and it’s actual impact, is .09 (Salas, et al, 2012). That’s zero with a rounding error! What it means is that people’s evaluation of what they think of it, and the actual impact, isn’t correlated at all. It could be highly rated and not be effective, or highly rated and be effective. Etc. At core, you can’t tell by the rating.

What should be ‘good’? The general intent of a learning intervention (or any intervention, really) is to have an impact! If we’re providing learning, it should yield a new ability to ‘do’. There are a multitude of problems here. For one, we don’t evaluate performance, so how would we know if our intervention is having an impact? Have learners acquired new abilities that are persisting in the workplace and leading to the necessary organizational change? Who knows? For another, folks don’t have realistic expectations about what it takes to have an impact. We’ve devolved to a state where if we build it, it must be good. Which isn’t a sound basis for determining outcomes.

There is, of course, a perfectly good reason to evaluate people’s affective experience of the learning. If we’re designing experiences, having it be ‘hard fun’ means we’ve optimized the engagement. This is fine, but only after, we’ve established efficacy. If we’re not having a learning impact in terms of new abilities to perform, what people think about it isn’t of use.

Look, I’d prefer us to be in the situation where perfection to be the enemy of the good! That’d mean we’re actually doing good. Yet, in our industry, too often we don’t have any idea whether we are or not. We’re not measuring ‘good’, so we’re not designing for it. If we measured impact first, then experience, we could get overly focused on perfection. That’d be a good problem to have, I reckon. Right now, however, we’re only focused on fast and cheap. We won’t get ‘good’ until we insist upon it from and for ourselves. So, let’s shall we?

Taking a higher perspective

12 November 2024 by Clark Leave a Comment

A number of years ago, I did some consulting to a training organization. The issue was that they didn’t seem to have a sustained relationship with their folks. And, this has seemed to me like an obvious and solvable problem. However, I may be missing something, so perhaps you can help me in taking a higher perspective.

In the particular instance, they provided training in particular areas. That is, folks would attend their courses and then, at least theoretically, be able to perform in new ways. Yet, they felt that folks didn’t necessarily sustain allegiance to them nor their offerings.

I asked what else they offered.  From the perspective of a performer, I’m not there to learn! Instead, I’m there to acquire new skills so I can perform better. And, if we take to heart what performance consulting has to say, there’re also resources such as job aids. These lead to success where learning isn’t even necessary. There’s more, too.

We can go further, of course. What about community? If you’re focused on a particular area of performance, would it make sense to be connected to others in the same endeavor? I’ll suggest that it’s likely. As folks develop in ability, they need to start interacting with others.

This organization wasn’t alone, of course. I’ve engaged with a number of organizations over the years that faced the same issue. (Whether they knew it or not.) In fact, I suspect it’s more prevalent that we agree. Particularly in this era of information available online, how do you generate a sustained relationship?

It seems to me that if we’re taking a higher perspective, we’ll realize that courses are just a component of a full development ecosystem. Of course, there are lots of issues involved: finding ways to curate or create all the elements, content management, platform choice and integration, and more. Still, this seems to me to be at least part of the answer. So, what am I missing?

 

Top 10 Tools for Learning 2024

27 August 2024 by Clark 2 Comments

Once again, the inimitable Jane Hart is running her Top 10 Tools for Learning survey. The insights are valuable, not least because it points out how much of our learning comes from other than formal learning. So, here are my Top 10 Tools for Learning 2024, in no particular order:

Google Docs. I write, a lot. And, increasingly, I want others to weigh in. I am cranky that I have to choose a tool instead of just going to one place to collaborate,  and I struggle with the file structure of Drive, but the feature set within Docs is good enough to support collaborative writing. And collaborative work in general is something I strongly advocate for. Collective intelligence, as Nigel Paine refers to it. For myself, however, – articles, books –  I still use…

Microsoft Word. I’m not a big fan of the parent company (they have glommed on to the current plan for subscriptions, which makes financial sense but is a bad customer experience), and it’s not the writing tool that Scrivener is, but I’m so familiar with it (started using circa 1988) and the outlining is industrial strength (a feature I love and need). It’s the start of most of my writing.

Apple Freeform.  I still use Omnigraffle, but I’m keen to support free tools, and this one’s proprietary format isn’t any worse than any others. I could use Google Draw, I suppose, particularly when collaborating, but somehow folks don’t seem to collaborate as much around diagrams. Hmm…

WordPress. This is the tool I use to write these blog posts. It’s a way for me to organize my thinking. Yes, it’s writing too, but it’s for different types of writing (shorter, more ‘in the moment’ thoughts). While the comments here are fewer, they still do come. Announcements get auto-posted to LinkedIn, Mastodon, & Bluesky.

LinkedIn. This is where I get more comments than, these days, I do on my blog. Plus, we use it to write and talk about the Learning Development Accelerator and Elevator 9. I follow some folks, and connect with lots. It remains my primary business networking tool. Feel free to connect with me (if you’re in L&D strategy ;).

Mastodon & Bluesky. Yes, this counts as two, but I use them very similarly. Since the demise of Twitter (eX), I’ve looked for an alternative, and regularly stay with these two. They’re (slightly) different; Mastodon seems a bit more thoughtful, Bluesky is more dynamic, but they’re both ways to stay in touch with what people are thinking, largely outside the L&D space. Still haven’t found all my peeps there, but I’m Quinnovator (of course) on both.

News Apps/Sites. I’m also learning via news apps, again staying up with what’s happening in the larger world. So, I get Yahoo News because one email is there. Also, I check some sites regularly: ABC (Australia, not US), BBC, and Apple News (because it’s on my iPad). I’m counting this as one because otherwise it’d overwhelm my count.

Apple Mail. I subscribe to a few newsletters, mostly on learning science, and some blogs. They come in email (directly or via Feedblitz). This is all part of Harold Jarche’s Personal Knowledge Mastery elements of Seek – Sense – Share, and these are updated regularly but are part of the seek. Some of the writing I do is the sharing. Making sense is the above writing, diagramming, and…

Apple Keynote. Creating presentations for webinars, workshops, speaking engagements such as keynotes, and the like is another way I make sense of the world. So, having a good tool to create them is critical, and Keynote works more the way I think than PowerPoint does.

So that’s it, my 10. It may not work for Jane’s categorization (sorry!), but it captures the way I think about it. Please do share yours, too! (There are more ways than writing a post, so find the one that works for you.)

 

Emotions

30 July 2024 by Clark 2 Comments

Emotion matters. Yes, largely it’s a cultural construct, as Lisa Feldman Barrett tells us. Still, they can help or hinder learning. When designing games or creating meaningful learning, they matter. But they also affect us in our daily activities.

So, my previous post, on misinformation, is personal. I’ve frustration that family members are buying into some of it. I try to maintain a calm demeanor, but it’s challenging. Still, it’s a battle I’ve not yet given up on. Yet, I’m also not immune to the larger effects of emotion.

A curve showing low performance for low and high arousal, but a peak of performance in between.What we know, from the Yerkes-Dodson Curve, is that a little bit of arousal (read: emotion) can help, but too much can hurt. What isn’t clear from my conceptual rendering is what amount is the ‘right’ amount of arousal for optimal performance. I’ll suggest that for learning, it’s pretty low, as learning is stressful (another synonym for arousal). And I do suggest we manipulate emotions (which I admit is shorthand for motivation, anxiety, and confidence, which aren’t the regular definition) to successfully achieve learning outcomes.

However, even general functioning gets difficult when things are stressful. When I look at the design of casinos, for instance, (a way to cope with the too many times I have to go to Vegas for conferences), I note that they deliberately have low information, lights, no clocks, as an information-sparse environment. It is deliberate, so that you’re more focused on the enticements. They want you confused because you’re then more vulnerable to predations.

I fear that there’s a bit of this in our culture. For instance, fear sells: more alarmist headlines lead to more engagement. Which is good for the news business, but perhaps bad for us in several ways. For one, there’s a vested interest in focus on the alarming, not the bigger picture. Similarly, twisting stories to get emotional engagement isn’t unknown. That can be entertaining, but when it’s the information we depend on is manipulated, it’s problematic. Reducing support for education similarly reduces the intelligence people can apply to analysis.

I struggled to focus to find a topic this week, and I realize it’s because of the informational turmoil that’s currently in play. So, I thought I’d write about it (for better or worse ;).  Exaggeration of issues for the sake of clicks and sales, I’ll suggest isn’t a good thing. I’m willing to be wrong, but I worry that we’re over-excited. Our emotions are being played on, for purposes that are not completely benign. That’s a worry. That’s what’s worrying me, what about you?

A Learning Science Conference?

9 July 2024 by Clark Leave a Comment

learning science conference 2024 banner: "Online. Asynchronous & Live Sessions"In our field of learning design (aka instructional design), it’s too frequently the case that folks don’t actually know the underlying learning science that guides processes, policies, and practices. Is this a problem? If it is, what is the remedy?

Consider that you wouldn’t want an electrician that didn’t understand the principles of electricity. Such a person might not understand, for instance, the importance of grounding, leavning open the possibility of burning down the house.

So, too, with learning. If you don’t understand learning science, you might not understand why learning styles is a waste of money, the lack of value of information alone, nor that you should make alternatives to the right answer reflect typical misconceptions. There’s lots more: models, context, and feedback are also included in the topics that most folks don’t understand the nuances of.

If you don’t understand learning science, you waste money. You are likely to design ineffective learning, wasting time and effort. Or you might expend unnecessary effort on things that don’t have an impact. Overall, it’s a path to the poorhouse.

Of course, there are other reasons why we don’t have the impact we should: mismatched expectations on costs and time, SME recalcitrance and hubris, and more. Still, you’re better equipped to counter these problems if you can justify your stance from sound research.

The way to address this, of course, also isn’t necessarily easy. You might read a book, though some can mislead you. And, you still don’t get answers if you have questions. Or, you could pay for a degree, but those can be quite expensive and ineffective. Too frequently they spend time on process and not enough on principles.

There’s another option, one we’re providing. What if you could get the core essentials curated for their relevance? Further, this content is provided for you asynchronously, buttressed by the opportunity for meaningful interaction, in a tight time frame (at different times depending on your location)? Then, the presentation is by some of the most important names in the field, individuals who’ve reliably demonstrated an ability to translate academic research into comprehensible principles? And, finally, this is delivered at an appropriate cost? Does that sound like a valuable proposition?

I’d like to invite you to the Learning Science Conference, put on by the Learning Development Accelerator. Faculty already agreed include Ruth Clark (co-author of eLearning & The Science of Instruction), myself (author of Learning Science for Instructional Designers), Matt Richter (co-director of the Thiagi group), and Nidhi Sachdeva (faculty at University of Toronto). The curriculum covers 9 of the most important elements of learning science including learning, myths and barriers, motivation, informal and social learning, media, and evaluation.

This event is designed to leave you with the foundations necessary to be able to design learning experiences that are both engaging and effective, as well as dealing with the expected roadblocks to success. Frankly, we see little else that’s as comprehensive and practical. We hope to see you there!

Break it down!

2 July 2024 by Clark 2 Comments

jigsaw puzzle piecesIn our LDA Forum, someone posted a question asking about taking Cathy Moore’s Action Mapping for soft skills, like improving team dynamics. Now, they’re specifically asking about a) people with experience, and b) in the context of not-for-profits, so…I’m not a good candidate to respond. However, what it does raise is a more common problem: how do you train things that are more ephemeral. Like, for instance, leadership, or communication? My short answer is “break it down”. What do I mean? Here’re some thoughts, and I welcome feedback!

Many moons ago, I co-wrote a paper on evaluating social media impacts. There are the usual metrics, like ‘engagement’. That is, are people using the system? Of course, for companies charging for their platform, this could be as infrequent as a person accessing it once a month. More practically, however, it should be a person hitting it at least several times a week, or even several times a day! If you’re communicating, cooperating, and collaborating, you really should be interacting at a fair frequency.

I, on the other hand, argued for more detailed implications. If you’re putting it into a sales team, you should expect not only messages, but more success on sales, shorter sales cycles, etc. So you can get more detailed. These days, you can do even more, and have the system actually tag what the messages are about and count them. You can go deeper.

Which is what I think is the answer here. What skills do you want? For an innovation demo with Upside Learning, I argued we should break it down. That includes how to work out loud, and how to provide feedback, and how to run group meetings. (I’m just reading Alex Edman’s May Contain Lies, and it contains a lot of details about how to consider data and evidence.) We can look for more granular evidence. Even for skills like team dynamics, you should be looking at what makes good dynamics. So, things like making it safe yet accountable, providing feedback on behavior not on the person, valuing diversity, etc. There should be specific skills you want to develop, and assess. These, then, become the skills you design your learning to accomplish. You are, basically, creating a curriculum of the various skills that comprise the aggregated topic.

It may be that you assess a priori, and discover that only some are missing in your teams. That upfront analysis should happen regardless, but is too infrequent. The interlocutor here also mentioned the audience complaining about the time for analysis. Yep, that’s a problem. Reckon you have to sell the whole package: analyzing, designing, and evaluating for impact on performance, not just some improvement. Yet, compared to throwing money away? Seems like targeting intervention efforts should be a logical sell. If only we lived in a rational world, eh?

Still, overall, I think that these broad programs break down into specific skills that can be targeted and developed. And, we should. Let’s not get away with vague intentions, explanations, and consequently no outcomes. Let’s do the work, break it down, and develop actual skills. That, at least, is my take, I welcome hearing yours!

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