Forget what you know about good study habits — from the NY Times by Benedict Carey

Take the notion that children have specific learning styles, that some are “visual learners” and others are auditory; some are “left-brain” students, others “right-brain.” In a recent review of the relevant research, published in the journal Psychological Science in the Public Interest, a team of psychologists found almost zero support for such ideas. “The contrast between the enormous popularity of the learning-styles approach within education and the lack of credible evidence for its utility is, in our opinion, striking and disturbing,” the researchers concluded.

Cognitive scientists do not deny that honest-to-goodness cramming can lead to a better grade on a given exam. But hurriedly jam-packing a brain is akin to speed-packing a cheap suitcase, as most students quickly learn — it holds its new load for a while, then most everything falls out.

“With many students, it’s not like they can’t remember the material” when they move to a more advanced class, said Henry L. Roediger III, a psychologist at Washington University in St. Louis. “It’s like they’ve never seen it before.”

When the neural suitcase is packed carefully and gradually, it holds its contents for far, far longer. An hour of study tonight, an hour on the weekend, another session a week from now: such so-called spacing improves later recall, without requiring students to put in more overall study effort or pay more attention, dozens of studies have found.

No one knows for sure why. It may be that the brain, when it revisits material at a later time, has to relearn some of what it has absorbed before adding new stuff — and that that process is itself self-reinforcing.

From DSC:

Re: research on learning styles…I would really like to know if these students were interviewed/reviewed in terms of which methods they preferred to learn by…which methods made learning more interesting…more fun..more efficient.

I’ll bet you “good students” can learn in spite of a variety of obstacles, issues, and/or teaching methods…they’ll learn what they need to in order to get the grade.

  • But which method(s) do they — as well as less “successful” students — prefer?
  • Which methods produce a longer-term ROI (besides just making it past the mid-term or final exam)?
  • Which method(s) are more engaging to them?
  • Which method(s) take less time for them to absorb the material?

We want students to love learning…but if you don’t like something, you surely won’t love it.

How to integrate multimedia for effective learning — from theelearningcoach.com

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Integrating the multimedia assets of a course can raise a host of issues. In my world, this can be as simple as explaining to a client why screens of text with an out-of-sync voice over will not be effective—to more complex issues, such as determining whether an animation will promote greater comprehension than a series of stills.

Although we know it can be advantageous to present content through multiple forms of media, the big question is how to integrate the mediums.

When deciding on these issues, I use two principles from cognitive science as guidelines that I think you’ll find helpful too. One is known as the Split-attention Effect and the other is the Redundancy Principle. Both principles are important.

Also see:

Related Articles:
Using Graphics To Improve Learning
Learning Theory And Multimedia

Book Recommendation:
Multimedia Learning by Richard E. Mayer

Here are some slides from a Cisco WebEx presentation by Marcus Lim

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Connectivism in the Enterprise — G. Siemens (July 2010)

Organizations are today faced with continually evolving markets, rapid knowledge growth, competitive pressures from emerging countries, and increased complexity in business development and strategy execution. This climate requires an evaluation of how existing learning, knowledge management, and capacity building activities support organizations in fulfilling their mandate and vision.

Traditional course-based learning and development is not sufficiently agile, flexible, or context-driven to address the pressures facing the enterprise. Three primary concerns exist with course-based learning and instructional design…

An introduction to Robert Gagnes' 9 events -- by Christopher Pappass

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.

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

Thinking out loud about Connectivism — from iterating toward openness by David Wiley

The first part of commentary from David:

I’ve been reading George’s writing on the unique ideas in connectivism. Two assertions leap out at me in his list of how connectivism is different from other approaches.

First is the statement that “the same structure of learning that creates neural connections can be found in how we link ideas and in how we connect to people and information sources (emphasis DSC). One scepter to rule them all.”

This sounds almost exactly like the claim made in John Anderson and Lael Schooler’s 1991 Reflections of the Environment in Memory, which I consider one of the finest pieces of research in our field:

Availability of human memories for specific items shows reliable relationships to frequency, recency, and pattern of prior exposures to the item. These relationships have defied a systematic theoretical treatment. A number of environmental sources (New York Times, parental speech, electronic mail) are examined to show that the probability that a memory will be needed also shows reliable relationships to frequency, recency, and pattern of prior exposures. Moreover, the environmental relationships are the same as the memory relationships. It is argued that human memory has the form it does because it is adapted to these environmental relationships. Models for both the environment and human memory are described. Among the memory phenomena addressed are the practice function, the retention function, the effect of spacing of practice, and the relationship between degree of practice and retention.

From DSC:
David’s posting, George’s posting entitled,
What is the unique idea in Connectivism?”, and the comments therein create in my mind the image of a living, ever-changing, learning ecosystem…full of “nodes” that come into (and may eventually be removed from) our learning environment / sources of information.

Also from #CCK09 First Paper (Draft): ‘Positioning’ Connectivism, here are some more references regarding connectivism:

Three Generations of Distance Education Pedagogy
Facilitator: Dr. Terry Anderson
Institution: Athabasca University
Date and time: Apr 14, 2010 11:00 AM
In this presentation Terry defines three pedagogical models that have defined distance education programming – behavioural/cognitive, constructivist and connectivist. He talks about the challenges and opportunity afforded by each model, with a focus on the emergent development of connectivism.

Past CIDER Sessions PowerPoint Presentation

Past CIDER Sessions Elluminate Recording

Past CIDER Sessions MP3 Recording

Past CIDER Sessions Text chat from Session

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Expanding on the Nine Events Of Instruction — from the eLearning Coach

The column on the left captures the internal processes of learning, according to Gagne. The middle column, which is still useful, shows ways to provide instructional support to promote each internal process. Finally, the column on the right shows how an intrinsically motivated learner can self-generate the processes of instruction…

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TED Themes: How we learn

TED Themes: How we learn

How do I best apply all of this?

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