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Complexity and Difficulty

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David Sousa<br />

How the Brain Learns<br />

Pg. 258-260<br />

<strong>Complexity</strong> <strong>and</strong> <strong>Difficulty</strong><br />

<strong>Complexity</strong> <strong>and</strong> difficulty describe two completely different mental operations, but<br />

are often used synonymously. This error, resulting in the two factors being treated<br />

as one, limits the use of the taxonomy to enhance the thinking of all students. By<br />

recognizing how these concepts are different, the teacher can gain valuable insight<br />

into the connection between the taxonomy <strong>and</strong> student ability. <strong>Complexity</strong><br />

describes the thought process that the brain uses to deal with information. In<br />

Bloom’s Taxonomy, it can be described by any of the six words representing the six<br />

levels. The question What is the capital of Rhode Isl<strong>and</strong>? is at the knowledge level,<br />

while the question Tell me in your own words what is meant by a state capital is at<br />

the comprehension level. The second question is more complex than the first<br />

because it is at a higher level in Bloom’s Taxonomy.<br />

<strong>Difficulty</strong>, on the other h<strong>and</strong>, refers to the amount of effort that the<br />

learner must expend within a level of complexity to accomplish a learning objective.<br />

It is possible for a learning activity to become increasingly difficult without<br />

becoming more complex. For example, the question Name the states of the Union is<br />

at the knowledge level of complexity because it involves simple recall (semantic<br />

memory) for most students. The question Name the states of the Union <strong>and</strong> their<br />

capitals is also at the knowledge level but is more difficult than the prior question<br />

because it involves more effort to recall more information. Similarly, the question<br />

Name the states <strong>and</strong> their capitals in order of their admission to the Union is still<br />

at the knowledge level, but is considerably more difficult than the first two. It<br />

requires gathering more information <strong>and</strong> then sequencing it by chronological order.<br />

These are examples of how a student can exert a great effort to achieve a<br />

learning task while processing at the lowest level of thinking. When seeking to<br />

challenge students, classroom teachers are more likely (perhaps unwittingly) to<br />

increase difficulty rather than complexity as the challenge mode. This may be<br />

because they do not recognize the difference between these concepts or that they<br />

believe that difficulty is the method for achieving higher-order thinking.<br />

CONNECTING COMPLEXITY AND DIFFICULTY TO ABILITY<br />

When teachers are asked whether complexity or difficulty is more closely<br />

linked to student ability, they more often choose complexity. Some explain their<br />

belief that only students of higher ability can carry out the processes indicated in


analysis, synthesis, <strong>and</strong> evaluation. Others say that whenever they have tried to<br />

bring slower students up the taxonomy, the lesson got bogged down. Yet I will<br />

argue, along with Bloom, that the real connection to ability is difficulty, not<br />

complexity.<br />

The mistaken link between complexity <strong>and</strong> ability is the result of an<br />

unintended but very real self-fulfilling prophecy. Here’s how it works. Teachers<br />

allot a certain amount of time for the class to learn a concept, usually based on how<br />

long they think it will take the average student to learn it. The fast learners learn<br />

the concept in less than the allotted time. During the remaining time, their brains<br />

often sort the concept’s sublearnings into important <strong>and</strong> unimportant categories,<br />

that is, they select the critical attributes for storage <strong>and</strong> discard what they decide<br />

is unimportant. This explains why fast learners are usually fast retrievers: They<br />

have not cluttered their memory networks with trivia.<br />

Meanwhile, the slower learners need more than the allotted time to learn<br />

the concept. If that time is not given to them, not only do they lose part of the<br />

sublearnings but they also do not have time to do any sorting. If the teacher<br />

attempts to move up the taxonomy, the fast learners have the concept’s more<br />

important attributes in working memory to use appropriately <strong>and</strong> successfully at<br />

the higher level of complexity. The slow learners, on the other h<strong>and</strong>, have not had<br />

time to sort, have cluttered their working memory with all the sublearnings<br />

(important <strong>and</strong> unimportant), <strong>and</strong> do not recognize the parts needed for more<br />

complex processing. For them, it is like taking five big suitcases on an overnight<br />

trip, whereas the fast learners have taken just a small bag packed with the<br />

essentials. As a result, teachers become convinced that higher-order thinking is<br />

for the fast learners <strong>and</strong> that ability is linked to complexity.<br />

Bloom reported on studies that included slower students for whom the<br />

unimportant material was not even taught. The curriculum was sorted from the<br />

start, <strong>and</strong> the focus was on critical attributes <strong>and</strong> other vital information. When<br />

the teacher moved up the taxonomy, these students in some cases demonstrated<br />

better achievement than the control groups! When teachers differentiate between<br />

complexity <strong>and</strong> difficulty, a new view of Bloom’s Taxonomy emerges, one which<br />

promises more success for more students.<br />

EVALUATION<br />

SYNTHESIS<br />

ANALYSIS<br />

APPLICATION<br />

COMPREHENSION<br />

KNOWLEDGE

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