Join us for conversations that inspire, recognize, and encourage innovation and best practices in the education profession.
Available on Apple Podcasts, Spotify, Google Podcasts, and more.
In This Part
Patterns are everywhere around us. We use patterns to organize what we see and hear and to make sense of data whether we are driving in a car, listening to music, or solving mathematical problems.
Note 2
Finding, describing, explaining, and using patterns to make predictions are among the most important skills in mathematics. These skills allow users of mathematics to impose order, meaning, and understanding on situations that at first seem like collections of random facts.
Finding patterns is a subjective activity. Different people notice different things, so what one person sees is often different from what another perceives. That’s why it’s so important to describe patterns in language that everyone understands — so others can see what you see. Algebra is a tool for describing patterns, and there are many others.
It’s important to keep in mind, however, that algebra is much more than a language. As you discovered in Session 1, algebra is also a way to reason about things. In fact, “making sense” is what doing mathematics is all about.
Describe several different patterns that you see in this table:
Note 3
Input | Output |
1 | 6 |
2 | 10 |
3 | 14 |
4 | 18 |
5 | 22 |
6 | 26 |
Tip: A description can be an equation, a sentence, or a rule for continuing the pattern.
Video Segment In this segment, participants describe and compare different patterns they found in the table for Problem A1. Watch the segment after you have completed Problem A1 and compare the patterns you identified with those of the onscreen participants. If you get stuck finding patterns in the table, you can watch the video segment to help you. If you wanted to extend the table of Problem A1, which of these descriptions would be most effective? Would they all produce the same table? You can find this segment on the session video, approximately 4 minutes and 46 seconds after the Annenberg Media logo. |
What is the 100th entry in the table? How do you know?
Tip: Try to answer this question by prediction rather than by making a long table of values.
Would 102 ever be in the “output” column of this table? What about 1004? Why or why not?
Tip: Try to answer this question by prediction rather than by making a long table of values.
Problem A4
Here is a recipe to perform on a number:
What does this recipe do to the numbers from 1 to 10? Record your answers in a table. Can you explain how this is related to the patterns you saw in the table from Problem A1 (below)?
Input | Output |
1 | 6 |
2 | 10 |
3 | 14 |
4 | 18 |
5 | 22 |
6 | 26 |
Problem A5
Comment on each of the following descriptions of the table given in Problem A1. Do all of these descriptions produce the same list of outputs? Are all of these descriptions valid for the table?
Note 4
Problem A6
Which number comes next in this sequence: 1, 2, 3, … ? Find as many different answers and explanations as you can.
Problem A7
Let’s take a closer look at the four skills for thinking about patterns.
Look back at Problems A1-A6. Describe how you use these skills in each problem. In other words:
Note 2
The content of this session centers on patterns. Go over the processes of finding, describing, explaining, and predicting with patterns. These skills help us to understand and make sense of situations, something to remember while working on problems throughout the session.
Note 3
Groups: Work in pairs on Problems A1-A4. When you’re finished, share your answers to Problem A1, coming up with as many different ways of describing the patterns as possible. At this point, we’re not necessarily interested in descriptions given in symbolic form. Descriptions such as “each output is 4 more than the previous” are valid because there are many ways to describe patterns, each with its own merit. At some point we will want to make a case for using a variable as a way of being concise, but that will come later.
Note 4
Read Problem A5.
Groups: Talk about each part of the question as a full group. Some people may be troubled by parts (c), (f), and (g), rejecting these scenarios as being far-fetched. An important point we are making in this session, though, is that many different rules can describe a table of data. When the data is attached to a context or situation, we can be more certain of an associated unique rule. Therefore it is important to see parts (c), (f), and (g) as possible descriptions.
Problem A1
Some possible answers: each output number is 4 more than the last; the output numbers that appear are all the even numbers that aren’t multiples of 4 (starting with 6); the output number is 2 more than 4 times the input number. Also, adding one input to the following input yields half the first output.
Problem A2
You can’t be sure, because the pattern is not completely specified, but it would be likely that the 100th number is 402. This follows the third rule listed above — that the output number is 2 more than 4 times the input number.
Problem A3
Again, you can’t be completely sure, but it would be likely that the 25th number is 102, because 2 more than 4 times 25 is 102. Following the same pattern, 1004 would not appear in the output column, since 1004 is not 2 more than 4 times any whole number.
Problem A4
Example: Pick 7, and then follow the algorithm. 7 >> 21 >> 19 >> 38 >> 44 >> 30 is the output. The numbers at the end are the same as the pattern described in the table. Here’s why: Pick n instead, which stands for a variable number. Follow the algorithm. n >> 3n >> 3n – 2 >> 6n – 4 >> 6n + 2 >> 4n + 2 is the output, which is the rule described in Problem A1.
Problem A5
Some comments:
Problem A6
The next number could be any number with a justified pattern. 4 is the clear choice, but so is 5, the next Fibonacci number, or 10, the next number you would get when counting in base 4, or 1, the next beat in a waltz. A formula could be found for any 4th number in that sequence.