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Welcome to Common Core High School Mathematics Leadership. Summer Institute 2014. Session 1 • 16 June 2014 Getting the Big Picture & Describing a Distribution. Today’s Agenda. Introductions, norms and administrative details CCSSM background MKT assessment - PowerPoint PPT Presentation
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1.1
WELCOME TO COMMON CORE HIGH SCHOOL MATHEMATICS LEADERSHIPSUMMER INSTITUTE 2014
SESSION 1 • 16 JUNE 2014GETTING THE BIG PICTURE & DESCRIBING A DISTRIBUTION
1.2
TODAY’S AGENDA
Introductions, norms and administrative details
CCSSM background
MKT assessment
Grade 9, Lesson 1: Distribution and Their Shapes Reflecting on CCSSM standards aligned to lesson 1
Break
Grade 9, Lesson 2: Describing the Center of a Distribution Reflecting on CCSSM standards aligned to lesson 2
Homework and closing remarks
1.3
ACTIVITY 1 INTRODUCTIONS, NORMS AND ADMINISTRATIVE DETAILS
Where do you teach?
What do you teach?
How long have you been teaching?
What challenges does your district face related to high school mathematics?
What is your experience/background with the CCSSM?
What do you hope to learn about the CCSSM from this project?
1.4
Start on Time End on Time
Silence cell phones.No texting or Wi-Fi.
Name Tents
Attention signalRaise hand!!
RestroomsNo sidebarconversations . . .
Food• Administrative
fee
ACTIVITY 1 INTRODUCTIONS, NORMS AND ADMINISTRATIVE DETAILS
1.5
ACTIVITY 2 CCSSM BACKGROUND
www.corestandards.org
1.6
Focus: Unifying themes and guidance on “ways of knowing” the mathematics.
Coherence: Progressions based on mathematics and student learning.
Understanding: Deep, genuine understanding of mathematics and ability to use that knowledge in real-world situations.
CCSSM Design Principles
Image: www.kidsgeo.com/geology MPES Conference 2011/D. Huinker
1.7
• Make sense of problems & persevere in solving them
• Reason abstractly & quantitatively
• Construct viable arguments & critique the reasoning of others
• Model with mathematics
• Use appropriate tools strategically
• Attend to precision
• Look for & make use of structure
• Look for & express regularity in repeated reasoning
K–8 Standards
by Grade Level
High School Standards
by Conceptual Categories
________________________
Domains
Clusters
Standards
Standards for Mathematical Practice Standards for Mathematics Content
1.8
STANDARDS FOR MATHEMATICAL PRACTICE1
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.2.Reason abstractly and quantitatively.
3.Construct viable arguments and critique the reasoning of others.
4.Model with mathematics.
5.Use appropriate tools strategically.
7.Look for and make use of structure.
8.Look for and express regularity in repeated reasoning.
Reasoning and Explaining
Modeling and Using Tools
Seeing Structure and Generalizing
William McCallum, The University of Arizona
1.9
William McCallum, The University of Arizona
K 1 2 3 4 5 6 7 8 HS Counting
& Cardinality
Algebra
Number and
Quantity
Mo
de
lin
g
Operations & Algebraic Thinking
Expressions and
Equations
Number & Operations in Base Ten
The Number System
Number & Operations Fractions
Ratios & Proportional
Relationships
Functions
Measurement & Data
Statistics & Probability
Geometry
K-8
Dom
ain
s &
HS
C
on
cep
tual C
ate
gori
es
1.10
WHY THE ENGAGENY/COMMON CORE BOOKS?
First curriculum designed from the ground up for Common Core (not an existing curriculum “aligned” to the standards)
Features tasks of high-cognitive demand that require students to think, reason, explain, justify, and collaborate
Contains substantial teacher implementation support resources: lesson plans, notes on student thinking, assessments and rubrics
Developed by an exceptional group of educators
Source material is available free and could be integrated with existing programs your district may have
1.11
ACTIVITY 3STATISTICS KNOWLEDGE ASSESSMENT
MKT AssessmentGo to: http://bit.ly/UWM-LOCUS orhttp://dev-artist.gotpantheon.com/quiz/
djqJoGPi9u
Access code: djqJoGPi9u
1.12
LEARNING INTENTIONS AND SUCCESS CRITERIA
We are learning to…
Use informal language to describe shape, center, and variability of a distribution displayed by a dot plot, histogram, or box plot.
Recognize that the first step in interpreting data is making sense of the context.
Make meaningful conjectures to connect data distributions to their contexts.
Calculate and interpret the mean and median based on the shape and spread of the data
Explain why the mean and the median are approximately the same for a data distribution that is nearly symmetrical and are not approximately the same for a skewed distribution.
1.13
LEARNING INTENTIONS AND SUCCESS CRITERIA
We will be successful when we can:
use appropriate language to describe and interpret a data set by its shape, its center, and its variability.
describe the context of a data set, based on the center and variability of a data distribution.
explain why we have (at least) two measures of the center of a data set, and when it is appropriate to use one rather than the other.
1.14
ACTIVITY 4 LESSON 1: DISTRIBUTIONS AND THEIR SHAPES
REVIEW OF DATA DISTRIBUTIONS AND REPRESENTATIONS
ENGAGENY/COMMON CORE GRADE 9, LESSON 1
1.15
ACTIVITY 4 LESSON 1: DISTRIBUTIONS AND THEIR SHAPES
1.16
ACTIVITY 4LESSON 1: DISTRIBUTIONS AND THEIR SHAPES
1.17
ACTIVITY 4LESSON 1: DISTRIBUTIONS AND THEIR SHAPES
1.18
Review the following CCSSM High School content standards:
S-ID.1
S-ID.2
S-ID.3
Where did you see these standards in the lesson you have just completed?
What would you look for in students’ work to suggest that they have made progress towards these standards?
ACTIVITY 4LESSON 1: DISTRIBUTIONS AND THEIR SHAPES
Reflecting on CCSSM standards aligned to lesson 1
1.19
S-ID.1: Represent data with plots on the real number line (dot plots, histograms, and box plots).
S-ID.2: Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets.
S-ID.3: Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliners).
ACTIVITY 4 LESSON 1: DISTRIBUTIONS AND THEIR SHAPES
1.20
Read MP2, the second CCSSM standard for mathematical practice.
Recalling that the standards for mathematical practice describe student behaviors, how did you engage in this practice as you completed the lesson?
What instructional moves or decisions did you see occurring during the lesson that encouraged greater engagement in MP2?
Are there other standards for mathematical practice that were prominent as you and your groups worked on the tasks?
ACTIVITY 4 LESSON 1: DISTRIBUTIONS AND THEIR SHAPES
Reflecting on CCSSM standards aligned to lesson 1
1.21
ACTIVITY 4 LESSON 1: DISTRIBUTIONS AND THEIR SHAPES
CCSSM MP.2MP.2 Reason abstractly and quantitatively
Mathematically proficient students make sense of quantities and their relationships in problem situations. They bring two complementary abilities to bear on problems involving quantitative relationships: the ability to decontextualize—to abstract a given situation and represent it symbolically and manipulate the representing symbols as if they have a life of their own, without necessarily attending to their referents—and the ability to contextualize, to pause as needed during the manipulation process in order to probe into the referents for the symbols involved. Quantitative reasoning entails habits of creating a coherent representation of the problem at hand; considering the units involved; attending to the meaning of quantities, not just how to compute them; and knowing and flexibly using different properties of operations and objects.
engageny MP.2MP.2 Reason abstractly and quantitatively.
Students pose statistical questions and reason about how to collect and interpret data in order to answer these questions. Student form summaries of data using graphs, two-way tables, and other representations that are appropriate for a given context and the statistical question they are trying to answer. Students reason about whether two variables are associated by considering conditional relative frequencies.
1.22
What are some of the favorite televisions shows for high school students? Do the commercials connect with the viewers?
You walk into a store. You estimate that most of the customers are between 50 and 60. What kind of store do you think it is? Why?
You are going to take a trip to Kenya. Do you think you will meeting several people ninety or older? Why or why not?
ACTIVITY 4 LESSON 1: DISTRIBUTIONS AND THEIR SHAPES
Closing questions for lesson 1
Break
1.24
ACTIVITY 5 LESSON 2: DESCRIBING THE CENTER OF A DISTRIBUTION
MEASURES THAT SUMMARIZE DATA DISTRIBUTION SHAPE
ENGAGENY/COMMON CORE GRADE 9, LESSON 2
1.25
Individually, and then with your small group, consider:
What do you think a center should tell us about a data distribution?
How are centers used in our summary of a data distribution?
ACTIVITY 5 LESSON 2: DESCRIBING THE CENTER OF A DISTRIBUTION
1.26
ACTIVITY 5LESSON 2: DESCRIBING THE CENTER OF A DISTRIBUTION
Can we assume that all students will interpret the question “How many pets do you currently own?” in the same way?
1.27
ACTIVITY 5LESSON 2: DESCRIBING THE CENTER OF A DISTRIBUTION
Why would the same hallway have different reported measures of length?
What measure of the length of the hallway do you think are the most accurate from the data set? Why?
1.28
ACTIVITY 5 LESSON 2: DESCRIBING THE CENTER OF A DISTRIBUTION
What number would you use to describe the typical age of cars in years by the car owners in this group?
1.29
Modeling
Functions
Number & Quantity
Statistics & Probability
Geometry
Algebra
AN OVERVIEW OF THE HIGH SCHOOL CONCEPTUAL CATEGORIES
1.30
The Modeling Conceptual Category(pages 72-73 of your Standards book)
THE MODELING FRAMEWORK
1.31
Review the following CCSSM High School content standards:
S-ID.1
S-ID.2
S-ID.3
Where did you see these standards in the lesson you have just completed?
What would you look for in students’ work to suggest that they have made progress towards these standards?
ACTIVITY 5 LESSON 2: DESCRIBING THE CENTER OF A DISTRIBUTION
Reflecting on CCSSM standards aligned to lesson 2
1.32
ACTIVITY 5LESSON 2: DESCRIBING THE CENTER OF A DISTRIBUTION
S-ID.1: Represent data with plots on the real number line (dot plots, histograms, and box plots).
S-ID.2: Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets.
S-ID.3: Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliners).
1.33
Read MP1, the first CCSSM standard for mathematical practice.
Recalling that the standards for mathematical practice describe student behaviors, how did you engage in this practice as you completed the lesson?
What instructional moves or decisions did you see occurring during the lesson that encouraged greater engagement in MP1?
Are there other standards for mathematical practice that were prominent as you and your groups worked on the tasks?
Reflecting on CCSSM standards aligned to lesson 2
ACTIVITY 5LESSON 2: DESCRIBING THE CENTER OF A DISTRIBUTION
1.34
ACTIVITY 5 LESSON 2: DESCRIBING THE CENTER OF A DISTRIBUTION
CCSSM MP.1MP.1 Make sense of problems and persevere in solving them.
Mathematically proficient students start by explaining to themselves the meaning of a problem and looking for entry points to its solution. They analyze givens, constraints, relationships, and goals. They make conjectures about the form and meaning of the solution and plan a solution pathway rather than simply jumping into a solution attempt. They consider analogous problems, and try special cases and simpler forms of the original problem in order to gain insight into its solution. They monitor and evaluate their progress and change course if necessary. Older students might, depending on the context of the problem, transform algebraic expressions or change the viewing window on their graphing calculator to get the information they need. Mathematically proficient students can explain correspondences between equations, verbal descriptions, tables, and graphs or draw diagrams of important features and relationships, graph data, and search for regularity or trends. Younger students might rely on using concrete objects or pictures to help conceptualize and solve a problem. Mathematically proficient students check their answers to problems using a different method, and they continually ask themselves, “Does this make sense?” They can understand the approaches of others to solving complex problems and identify correspondences between different approaches.
engageny MP.1MP.1 Make sense of problems and persevere
in solving them.
Students choose an appropriate method of analysis based on problem context. They consider how the data were collected and how data can be summarized to answer statistical questions. Students select a graphic display appropriate to the problem context. They select numerical summaries appropriate to the shape of the data distribution. Students use multiple representations and numerical summaries and then determine the most appropriate representation and summary for a given data distribution.
1.35
Sketch a dot plot in which the median is greater than the mean. Could you think of a context that might result in data where you think that would happen?
Sketch a dot plot in which the median and the mean are approximately equal. Could you think of a context that might result in data were you think that would happen?
ACTIVITY 5 LESSON 2: DESCRIBING THE CENTER OF A DISTRIBUTION
Closing questions for lesson 2
1.36
LEARNING INTENTIONS AND SUCCESS CRITERIA
We are learning to…
Use informal language to describe shape, center, and variability of a distribution displayed by a dot plot, histogram, or box plot.
Recognize that the first step in interpreting data is making sense of the context.
Make meaningful conjectures to connect data distributions to their contexts.
Calculate and interpret the mean and median based on the shape and spread of the data
Explain why the mean and the median are approximately the same for a data distribution that is nearly symmetrical and are not approximately the same for a skewed distribution.
1.37
LEARNING INTENTIONS AND SUCCESS CRITERIA
We will be successful when we can:
use appropriate language to describe and interpret a data set by its shape, its center, and its variability.
describe the context of a data set, based on the center and variability of a data distribution.
explain why we have (at least) two measures of the center of a data set, and when it is appropriate to use one rather than the other.
1.38
Complete the Lesson 2 Problem Set in your notebook (pages S.14-S.16)
Extending the mathematics:Sketch a histogram or dot plot or box plot of data collected from an imaginary population (ages of people in a church or temple, ages of people attending a movie, number of text messages sent per day from a grade 9 math class). Do not indicate the population of your graph. In our next class, we will guess the population based on your graph.
Reflecting on teaching:Consider a typical class of 9th grade algebra students in your district. What aspects of these two lessons are likely to connect to their prior knowledge? What concepts in these lessons might be new to them?
ACTIVITY 6 HOMEWORK AND CLOSING REMARKS