Differentiating learning by ‘learning style’ might not be so wise — from Clayton Christensen

First, some quotes from Clayton:

A study commissioned by Psychological Science in the Public Interest called “Learning Styles: Concepts and Evidence,” by Harold Pashler, Mark McDaniel, Doug Rohrer, and Robert Bjork, finds convincingly that, at this point, there is no evidence that teaching to different learning styles—specifically meaning to a student’s apparent preferred modality such as visual or auditory—works. The authors therefore conclude that using scarce school funds toward doing just this doesn’t make sense.

Of course, there appears to still be some disagreement. According to a March 25, 2009 article in The Journal of Neuroscience titled “The Neural Correlates of Visual and Verbal Cognitive Styles” by David J.M. Kraemer, Lauren M. Rosenberg, and Sharon L. Thompson-Schill, there is some evidence that teaching by learning style could make a difference.

Moving outside of this particular debate, this doesn’t change the fundamental point that people learn differently. People don’t disagree with this. There is clear evidence that that people learn at different paces. Some people understand a concept quickly. Others struggle with it for some time before they understand it. We know that explaining a concept one way works well for some people, and explaining it another way works for others whereas it baffles the first group. We also know that this can differ from person to person depending on subject area. One of the key reasons online learning seems to be better on average than face-to-face learning is because time can become variable in an online learning environment so that students can repeat units and lectures until they master a concept and only then move on to the next concept.

From DSC:

What’s the best way(s) to apply all of this? What makes the most sense in how we operationalize the delivery of our content? In my studies on instructional design, there are so many theories and so much disagreement as to how people learn. If you ask for consensus, you won’t get it. So my conclusion is this:

Provide the same content in as many different ways as you possibly can afford to provide. Let the students choose which item(s) work best for them and connect with them. If one way doesn’t connect, perhaps another one will.

Also…yes, we can probably all learn from just text if we have to. But was learning fun that way? Was it engaging? Was it the most effective it could have been? Was learning maximized for the long-haul? Would it have been helpful to see the same content in a graphic, simulation, animation, or in a video?

20 facts you must know about working memory — from The E-Learning Coach

Excerpt:

The Basics

  1. Working memory used to be called short-term memory. It was redefined to focus on its functionality rather than its duration.
  2. Working memory can be thought of as the equivalent of being mentally online. It refers to the temporary workspace where we manipulate and process information.
  3. No one physical location in the brain appears to be responsible for creating the capacity of working memory. But several parts of the brain seem to contribute to this cognitive structure.

  4. Capacity

  5. Working memory is characterized by a small capacity. It can hold around four elements of new information at one time.
  6. Because learning experiences typically involve new information, the capacity of working memory makes it difficult to assimilate more than around four bits of information simultaneously.

Modality & Redundancy eLearning Principles — from Anne Negus via Wanza Wiley
Here are some of the slides from that narrated presentation:

The Modality Principle

The Redundancy Principle

I just listened to a presentation by Dr. Ruth Clark entitled, “Efficiency in Learning: Applying Cognitive Load Theory to Distance Learning”. Below are my notes from her presentation.


Besides our long-term memory we have a working memory — which is where the action is and where cognitive load theory focuses

  • 7  +- 2 chunks
    • George Miller’s work in the 1950’s re: the limitations of working memory
    • Cognitive load theory is an update to George’s work
    • The concept of “chunking” and the capacity of short term memory. Miller (1956) presented the idea that short-term memory could only hold 5-9 chunks of information (seven plus or minus two) where a chunk is any meaningful unit. A chunk could refer to digits, words, chess positions, or people’s faces. The concept of chunking and the limited capacity of short term memory became a basic element of all subsequent theories of memory.
    • So segmenting of content is good – chunking it up — as information should be presented in small digestible units
    • A digestible unit of information contains no more than nine separate items of information.
    • By chunking information the author improves the reader’s comprehension and ability to access and retrieve the information.
    • [Search for items related to “Information Processing Theory” and George Miller for more information]
  • Working memory has a limited capacity
  • Great for processing – not great for holding information
  • Prior knowledge is key here
  • Gets slower as trying to hold more information in working memory
  • Our challenge as instructional designers is how to optimize cognitive load that maximizes learning
  • More complex/difficult subject matter or more novice the learning à more cognitive load
  • Intrinsic (imposed by content; how complex is the content?) + Extraneous  / Extrinsic (irrelevant & want to minimize this)  + Germaine (good stuff; relevant; want to maximize this)
  • Intrinsic + extraneous + germaine = additive cognitive load
  • Giving learners orientation gives better learning; establish context
  • Use audio to explain visuals when appropriate – uses both auditory information track and visual information track
  • Modality effect
    • Better learning if a visual is explained by words expressed in audio (except if different language)
  • Redundancy effect
    • Don’t want to use the same text w/ same audio at the same time – less is more – if have a picture of something, with text next to it, plus having someone say that text is too much info – too much cognitive load
  • Proximity effect
    • Placement of text and visuals
    • Keep visuals next to the relevant text/explanation of that visual
    • Avoid splitting attention
  • Germaine load
    • Use examples – but also add self-explanation questions to examples to encourage deeper mental processing and not blowing the example off
  • Some more tips
    • Watch the pacing of the presented materials
    • Provide control to user
    • Don’t put items on screen unless serving a purpose
    • Don’t put background music if trying to concentrate on learning something
    • Motion – careful when use it
    • If dealing with experts, don’t have to worry as much about cognitive load burdens; allow control/freedom
  • Didn’t sound like Ruth supported learning styles too much – believes that we place too much emphasis on them; prior knowledge is the key according to Ruth
  • Some synchronous, web-based communication and collaboration tools can cause cognitive overloads – as the interface can split our attention. We try to absorb information that is flowing at us from the various areas of the interface:
    • Chat
    • An attendee list of members
    • The presentation area/PPTs
    • Audio
    • Motion w/ application sharing
    • etc.

Clark Training & Consulting’s blog –> http://clarktraining.com/blog/

Ruth Clark's Training & Consulting site

The value of multimedia in learning — Patti Shank (2005, from Adobe’s Media Center)

  

The value of multimedia in learning -- by Patti Shank (2005)

TED Themes: How we learn

TED Themes: How we learn

“With this in mind, here are a few sites that feature cognitive psychology podcasts, research, articles and news. I’m even sneaking in a few brain science sites for the true believers.”

“And just in case you’re new to this field, cognitive psychology is the discipline that examines our mental processes, such as attention, perception, memory and learning. Cognitive psychology uses an information-processing model to explain mental operations in computational terms. Your resources are below. Enjoy.”

© 2024 | Daniel Christian