This chapter opens with
two examples that showcase how the way learners organize information in
their brain directly correlates to the learning and knowledge retrieval
process (Ambrose, Bridges, DiPietro, Lovett, & Norman, 2010). The
way we organize information not only impacts the learning process, but
also how we perform, or apply the knowledge (Ambrose et al., 2010). For
example, let’s take a look at history class. A student simply
memorizing a series of dates and events allows them to regurgitate the
correct answers on a test. However, another student might make complex
connections enabling them to write an essay about a particular time
period. Ambrose et al refer to the first student’s knowledge as sparse
and superficial (Ambrose et al., 2010). But the other student has a
series of deep and meaningful knowledge around the subject due to the
way they made connections during the learning process (Ambrose et al.,
2010).
Research and Implications
So, how does this work? Let’s take a look at what research tells us
about how people form connections and then explore the differences
between experts and novices. People naturally form associations in a
few ways: between concepts that share meaning, cause and effect
relationships, and between similar objects (Ambrose et al., 2010). Of
course, everybody is different and will form these connections based on
their prior knowledge and experiences, as indicated in the previous
chapter (Ambrose et al., 2010). The way we learn, coupled with the
unique backgrounds of each learner, has a direct correlation with how we
perform, or apply the knowledge (Ambrose et al., 2010).
An example of this from my work experience is learning new systems
and processes. I am a Training Consultant, so I learn new material by
chunking it and relating it to how I think the sales teams will learn
and apply the material. My end goal is to transfer that learning to the
sales teams. A sales professional will learn using connections from
their sales experience and have their sales goals in mind. Depending on
how we are expected to apply the material, the sales professional will
perform better in a sales situation and I would perform best in a
training type situation. As an educator, it is important to keep the
end result, or objectives, in mind (Ambrose et al., 2010). What task do
we want the learner to be able to perform or, in other words, how do we
expect them to apply the knowledge (Ambrose et al., 2010)? This needs
to be determined up front to allow us to frame our teachings in a way
that is conducive to the learning process (Ambrose et al., 2010).
Novice Versus Expert Knowledge Organization
The connections that people form directly relate
to whether they have novice level knowledge or expert knowledge
(Ambrose et al., 2010). The novice does not have the ability to form
connections between points of data; their data is organized like
separate facts floating around (Ambrose et al., 2010). This makes
applying the information very difficult and can harm the learning
process (Ambrose et al., 2010). The expert, however, forms complex
connections and can see the big picture (Ambrose et al., 2010).
Everything becomes interconnected, allowing people to recall a lot of
information and apply it when needed (Ambrose et al., 2010). The
learning principle is illustrated in the figure below (Ambrose et al.,
2010).
Studies show that giving structure to the way the information is
organized facilitates the learning process (Ambrose et al., 2010). It
is not safe to assume that students will automatically see how the
concepts relate (Ambrose et al., 2010). This leads me to the next
point, which is a very, very important implication of the research
discussed in this chapter. You as the instructor are a subject matter
expert and already have very deep connections to the material (Ambrose
et al., 2010). In order to successfully transfer knowledge, an educator
has to be conscious of this fact and not assume that students will
organize the knowledge as an expert would (Ambrose et al., 2010). An
example of a time I have seen this in action was with a co-worker that
was not cognizant of her very deep connections to the material. It was
challenging to follow the training sessions and relate to the material
because, due to her deep rooted connections, the information came across
as choppy to a novice. On the flip side, I have also seen experts that
are cognizant of their level of knowledge and they are very successful
communicating the connections and laying a framework for learners. The
bottom line is that students need to be taught how to organize
information in a meaningful way (Ambrose et al., 2010). Not only that,
but we need to remember to monitor their progression throughout the
learning process (Ambrose et al., 2010).
Recommended Strategies
There are some helpful
strategies educators may use to help learners organize knowledge in a
meaningful way. Some examples include creating a concept map to
understand how you organized the knowledge, analyzing the objectives
(i.e. what you want them to be able to do) and construct the information
in a way that leads toward the desired end result, and help students
organize knowledge as they are learning (Ambrose et al., 2010). You can
even have the students create concept maps to help you understand how
they organize knowledge (Ambrose et al., 2010).
References:
Ambrose, S. A., Bridges, M. W., DiPietro, M., Lovett, M. C. & Norman, M. K. (2010). How Learning Works: 7 Research-Based Principles for Smart Teaching. San Francisco: Jossey-Bass.
Ambrose, S. A., Bridges, M. W., DiPietro, M., Lovett, M. C. & Norman, M. K. (2010). How Learning Works: 7 Research-Based Principles for Smart Teaching. San Francisco: Jossey-Bass.
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