

Content Analysis of Tasks
- depth of content knowledge part three -
Low Cognitive Demand Tasks
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Memorization, as we all know, is the lowest on Bloom’s Taxonomy of thinking skills. In math it requires only that students regurgitate information we have given them in the form of definitions, formulas, algorithms, etc. At the memorization level, a student uses no procedures and makes no connections to math concepts. Memorization has no positive impact on helping a student create number sense.
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Tasks that involve Procedures without Connections mainly rely on students using algorithms to produce one correct answer following one selected route of achieving the answer. Students demonstrate little to no understanding of the math involved in solving the problem. This is old school mathematics. It’s the task that requires students to do numerous problems that follow the same procedure over and over again so that the algorithm is engrained in their heads. It requires no connection be made to math concepts that are integral to developing number sense. Oftentimes we might think we have increased the cognitive demand by asking students to explain these types of problems but in reality students are only explaining the procedure – not the math behind it.
High Cognitive Demand Tasks
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Tasks that involve Procedures with Connections begin to help us make our way past the bottom rungs of Bloom’s ladder of thinking skills. In these types of tasks students are required to make connections to mathematical concepts which will deepen their understanding of the underlying concepts involved in the task. Although a procedure is used, students are required to demonstrate an understanding of what makes the procedure useful for the assigned task. Students may be asked to represent their thinking in numerous ways – using manipulatives, models, diagrams, etc. This type of task is time-consuming for the teacher to develop and for the student to work through but the learning payoff far outweighs what can be gained from the low cognitive demand tasks.
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Doing Mathematics should be the ultimate goal in our math classrooms. These types of tasks rely totally on a demonstration of number sense. Students must impose their own structure and procedure oftentimes using manipulatives, models, drawings, etc. They will attach meaning to their work by referring to the representations they produced to explain each step of how they arrived at a particular quantity. This process helps build connections to mathematical meanings and concepts. There is no relying on memorized algorithms and procedures. When we develop these types of problems students attain a deeper understanding of the interconnectedness of math concepts involved in a task. In setting up these experiences teachers need to consider the students past experiences with these types of problems. Students will probably encounter anxiety with these problems because of the length of time required to work through the task and because they simply are not used to combining multiple previously learned math concepts to produce an outcome or to complete an open-ended task. These are the types of problems that students will often wear down the teacher with questions of how and where to start. When the teacher gives in and starts offering procedural directions the task begins to lose cognitive demand. Instead teachers need to provide the scaffolding of student thinking and reasoning that will be required to make this level of cognition successful.
Definitions
Examples
Explanation of the mathematical task framework
We would suggest that you take a look at the mathematical task framework (Smith & Stein, 1998, p. 348) before our meeting to familiarize yourself with the crux of our PD. You will notice that the mathematical framework is a resource for helping teachers establish the sort of tasks they are creating in the classroom. This document will help guide your decisions as you work on creating a classroom that demands high cognition. Smith and Stein (1998) say, “it serves as a judgment template – a kind of scoring rubric – that can be applied to all kind of mathematical tasks, permitting a rating of the tasks.” The framework is divided into two types of cognitive tasks – low cognitive demand tasks and high cognitive demand tasks. Memorization and Procedures without Connections are defined as low cognitive demand tasks. Procedures with Connections and Doing Mathematics are defined as high cognitive demand tasks.
Low Cognitive Demand Tasks
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Memorization- If Bobby has 8 pencils and gives away 5 pencils to his friends, how many pencils does Bobby have left?
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Procedures without connections- A store is having a sale where everything is 15% off. If Martha wants to buy a jacket that was originally $40.00, how much would the jacket be during the sale?
High Cognitive Demand Tasks
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Procedures with connections- Jenny has 71 marbles and she gives some of those marbles to Layla. If Jenny now only has 29 marbles left, how many marbles would Layla have left if she gave away 13 of her marbles to Kristen? Write out a number sentence that explains the situation and then use words or pictures to show how to solve this problem.
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Doing mathematics- Jacob has 12 apples in his basket and he wants to collect a total of 36 apples. If Jacob can only fit 12 apples in a basket, how many more baskets does Jacob need to fill in order to collect the amount of apples he wants? Draw a diagram to show your thinking and explain how the situation, and your diagram and answer are related.
Properly selecting and setting up a high-level task well “does not guarantee students’ engagement at a high level. Starting with a good task does, however, appear to be a necessary condition, since low-level tasks almost never result in high-level engagement” (Smith & Stein, 1998, p. 344). This fact alone should be enough for us to give our best effort while attending this PD opportunity. The cumulative effect of years of math classrooms that are based on low cognitive demand tasks has created a generation of students looking for a quick answer. One algorithm will give one answer. The answer is the set in stone, and the nature of the mathematics that created the algorithm doesn’t seem to matter. Students do not value making sense of the math involved in a task. They have been trained that spending 40 minutes on 30 problems somehow makes them mathematically smarter than spending 40 minutes on one problem. Ultimately, the use of algorithms without additional context or meaning creates a mini-computer – not a “thinker.”