Learnlets

Secondary

Clark Quinn’s Learnings about Learning

Reading Research?

14 September 2021 by Clark Leave a Comment

I was honored to have a colleague laud my Myths book (she was kind enough to also promote the newer learning science book), but it was something she said that I found intriguing. She suggested that one of the things in it includes “discussing how to read research”. And it occurs to me that it’s worth unpacking the situation a wee bit more. So here’s a discussion about how we (properly) develop learning science that informs us in reading research.

Caveat: I  haven’t been an active researcher for decades,  serving instead to interpret and apply the  research, but it’s easier to say ‘we’ than “scientists”, etc.  

Generally, theory drives research. You’ve created an explanation that accounts for observed phenomena better than previous approaches. What you do then is extend it to other predictions, and test them.  Occasionally, we do purely exploratory studies just to see what emerges, but mostly we generate hypotheses and test them.

We do this with some rigor. We try to ensure that the method we devise removes confounding variables, and then we use statistical analysis to remove the effects of other factors. For instance, I created a convoluted balancing approach to remove order effects in my Ph.D. research. (So complicated that I had to analyze a factor or two first, to ensure it wasn’t a factor, so I could remove it from the resulting analysis!). We also try to select relevant subjects, design uncontaminated materials, and carefully control our analysis. Understanding the ways in which we do this requires an ability to know about experiment design, which isn’t common knowledge.

Moreover, we then need to share this with our colleagues so that they can review what we’ve done. We need to do it in unambiguous language, using the specific vocabulary of our field. And we need to make it scrutable. Thus, we publish in peer-reviewed journals which mean others have looked at our work and deemed it acceptable. However, the language is deliberately passive, unemotional, and precise, as well as focused on a very narrow topic. Thus, it’s not a lot of fun to read unless you  really care about the topic!

There are problems with this. Increasingly, we’re finding that trying to isolate independent variables doesn’t reflect the inherent interactions. Our brains actually have a lot of complexity that hinder simple explanations. We’ve also found that it’s difficult to get representative subjects, when what’s easy to get are higher education students in the developed world. There are also politics involved, sad to say, so that it can be hard for new ideas to emerge if they challenge the entrenched views. Yet, it’s still the best approach we have. The scientific method has led to more advances in understanding than anything else!

There are things to worry about as a consumer of science. For one, there are people who fake results. They’re few, of course. There’s also research that’s kept proprietary, for financial reasons. Or is commissioned. As soon as there’s money involved, there’s the opportunity for corruption (think: tobacco, and sugar). Companies may have something that they tout as valid, but the research base isn’t publically available. Caveat emptor!

Thus, being able to successfully read research isn’t for everyone. You need to be able to comprehend the studies, and know when to be wary. The easy thing to do is to look for translations, and translators, who have demonstrated a trustworthy ability to help sort out the wheat from the chaff. They exist.

I hope this illustrates what reading research requires. You can take some preliminary steps: give it the ‘sniff’ test, see if it applies to you, and see who’s telling you this (and if anyone else is agreeing or saying to the contrary) and what their stake in the game is. If these steps don’t answer a question, however, maybe you want to look for good guidance. Make sense?

 

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

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

Blogroll

  • Charles Jennings
  • Christy Tucker
  • Connie Malamed
  • Dave's Whiteboard
  • Donald Clark's Plan B
  • Donald Taylor
  • Harold Jarche
  • Julie Dirksen
  • Kevin Thorn
  • Mark Britz
  • Mirjam Neelen & Paul Kirschner
  • Stephen Downes' Half an Hour

License

Previous Posts

  • 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.