Quantitative Reasoning Student Pages 1.A, Data for life Lesson 1, Part A Data for Life This class is a community of learners. Having shared goals strengthens communities. Our shared goal for this course is to maximize the learning experience for everyone. To do that, we will begin by working together to collect data that will be organized and used in later lessons. We will also reflect on activities that influence our learning. 1) Complete question 1 on the Data Recording Sheet (Mandatory Categories). Credit: iStockphoto Objectives for the lesson You will understand that: ¨ Data can be collected from many real-life sources and used for future mathematical study. ¨ Analysis of data can provide information to help make decisions about positive changes in your study habits and lives. ¨ Working together builds a positive learning community. You will be able to: ¨ Collect data from your daily life. ¨ Work positively in a group to make a decision. 2) Now look at question 2 on the Data Recording Sheet (Optional Categories). We need to narrow down the list to three categories. Rate the categories by putting them in order from most likely to affect your ability to learn (#1) to least likely to affect your learning (#9). Consensus is an agreement. It is not a vote. When we vote, some people win and others lose. With consensus, the group comes to an agreement that everyone supports. 3) Discuss your priorities with your group and come to consensus on your group’s top three choices. A consensus means that you all agree. In a community of learners, everyone wins. 4) How did your group make your choices and reach consensus? The Charles A. Dana Center at The University of Texas at Austin 1 Version 1.0 Quantitative Reasoning Student Pages 1.A, Data for life 5) As we begin the course and create a positive learning environment, let’s reflect on activities that can positively affect your ability to learn. List three activities that would have a positive effect on your learning in this class. 6) Now reflect on activities that could negatively affect your ability to learn. List three activities that would have a negative effect on your learning in this class. 7) List one action that you could take to minimize the negative effects on your learning. 8) Collect your data on daily water consumption for the next 10 days on the Daily Water Consumption Data Recording Table below. You will need this information for a later lesson. Daily Water Consumption Data Recording Table Day Number of cups of water consumed per day 1 2 The Charles A. Dana Center at The University of Texas at Austin 3 4 5 2 6 7 8 9 10 Version 1.0 Quantitative Reasoning Student Pages 1.A, Data for life Data Recording Sheet 1) Complete the information for the following Mandatory Categories table below. Mandatory Categories Record your personal information. Gender (male or female) Height, expressed as a decimal in feet and inches (For example: 5’ 7” = about 5.58 feet) Number of hours per week working on math with others outside of class (tutoring, study group) Number of hours per week working on math alone outside of class Number of hours per week spent in math class Number of cups of water consumed per day Number of hours per week commuting to work and college 2) Consider the Optional Categories table below. Number the categories from most likely to affect your learning (#1) to least likely to affect your learning (#9). Discuss your ordering with your group members. Then the class will come to consensus on the top three categories for the class. These categories will be used as data sets in future lessons. When the top three categories are identified, record your own data for those three categories. Turn in this sheet to your instructor at the end of class. Optional Categories Number your choices. Record your personal information for the top three categories chosen by the class. Number of alcoholic beverages consumed per week Number of caffeinated beverages consumed per week Number of daily servings of fruits and vegetables Number of daily servings of protein Number of hours exercising (e.g., walking, yoga, biking, sports) per week Number of hours using technology for fun per week (e.g., TV, email, video games, texting, Facebook) Number of hours working per week Number of hours sleeping per week Number of hours preparing meals and eating per week The Charles A. Dana Center at The University of Texas at Austin 3 Version 1.0 The Charles A. Dana Center at The University of Texas at Austin 4 Quantitative Reasoning Student Pages 1.A, Data for life Version 1.0 Quantitative Reasoning Suggested Instructor Notes 1.A, Data for life Lesson 1, Part A Data for Life Overview and student objectives Overview This lesson begins to create a learning community through a conversation about data and also provides a means to stimulate conversation about health topics that are relevant to the students in this class. Students submit data for a class spreadsheet to be maintained by the instructor. The instructor keeps the data in an Excel spreadsheet, creating the graphs and charts and distributing data and/or graphs, as needed, for different lessons and activities. In later tasks, students will study data plots, lines of best fit, measures of center, etc. using the data collected from the class. Lesson Length: 25 minutes Prior Lesson: None Next Lesson: Lesson 1, Part B, “Our Learning Community” (25 minutes) Constructive Perseverance Level: 1 Theme: Health Literacy Goal: Communication Quantitative Reasoning Outcome: S1 Objectives Students will understand that: Related Foundations Outcome: N8 • Data can be collected from many real-life sources and used for future mathematical study. • Analysis of data can provide information to help make decisions about positive changes in their study habits and lives. • Working together builds a positive learning community. Students will be able to: • Collect data from their daily lives. • Work positively in a group to make a decision. Suggested resources and preparation Materials and technology • Computer, projector, document camera • Student Pages for Lesson 1, Part A • Excel spreadsheet with mandatory and optional categories Prerequisite assumptions Students from the Foundations course should be familiar with a learning community. The Charles A. Dana Center at The University of Texas at Austin 5 Version 1.0 Quantitative Reasoning Suggested Instructor Notes 1.A, Data for life Background context In this activity, baseline data are collected, which will be discussed and analyzed in subsequent lessons. Suggested instructional plan Frame the lesson (4 minutes) Whole Class Introduction • Talk about data collection and how it will be studied throughout the term. The lessons in the course are centered on real-world contexts. This activity is designed to focus on data that are immediately available and relevant to the students. • Ask students to read the introductory paragraph and fill in the “Mandatory Categories” table with their personal information. • Transition to the lesson activities by briefly discussing the Objectives for the lesson. Lesson activities (18 minutes) Group Work Whole Class Discussion Questions 2–4 • Ask students to proceed to question 2, ranking the optional categories and discussing with their group to choose three. • Let students know that they will need to be as honest as possible when submitting their data to make this activity work well. Individual data will be anonymous to one another. The instructor will collect the data and post it to an Excel spreadsheet. o Use the accompanying spreadsheet (excerpt shown at the end of these notes) to record student data for later distribution. o You may choose to include average course grade and average test/quiz grades as dependent variables sometime during the term. • Be prepared to diminish conflict if consensus cannot be reached about the top three optional categories. Work toward maintaining a positive classroom environment with the option for students to “opt out” if he/she is uncomfortable. Beware if the class size is small. A small class could sabotage anonymity. Instructor should be mindful and sensitive to student privacy. • As a class, determine the top three optional categories on which you will collect data. Ask students to share the methods their group used to come to consensus. • Ask students to complete their data for the top three categories. The Charles A. Dana Center at The University of Texas at Austin 6 Version 1.0 Quantitative Reasoning Suggested Instructor Notes 1.A, Data for life Questions 5–7 • Ask students to complete 5–7 and share with the class as time permits. Question 8 • Ask students to be diligent about filling out the table in question 8. If they try to fill it all out on the last day, their data will likely be inaccurate. Wrap-up/transition (3 minutes) Wrap-up Transition • Collect the Data Recording Sheet with the mandatory and optional categories. See the Follow-up for instructor section below. • Ask students to reflect on this data collection activity. Ask them to write their initial reactions about working in groups for the first class meeting on a 3x5 inch card. How did they feel about sharing personal information? • Have students refer back to the Objectives for the lesson and check the ones they recognize from the activity. Alternatively, they may check objectives throughout the lesson. • As an introduction to future lessons, discuss data collection in general, pitfalls in data collection, and how data might be used. Illustrate with one of the mandatory categories. Suggested assessment, assignments, and reflections • Give the Preview Assignments, if any, for the lesson activities you plan to complete in the next class meeting. Follow-up for instructor Complete the provided Excel sheet with mandatory category data and those categories decided by the class. Caution: Rather than deleting the unused categories on the master sheet, save a master copy. Subsequent classes may decide on different categories. Print a copy of the compiled data for each student. The Charles A. Dana Center at The University of Texas at Austin 7 Version 1.0 Quantitative Reasoning Suggested Instructor Notes 1.A, Data for life The Charles A. Dana Center at The University of Texas at Austin 8 Version 1.0 Quantitative Reasoning Suggested Instructor Notes 1.A, Data for life Lesson 1, Part A Data for Life – ANSWERS This class is a community of learners. Having shared goals strengthens communities. Our shared goal for this course is to maximize the learning experience for everyone. To do that, we will begin by working together to collect data that will be organized and used in later lessons. We will also reflect on activities that influence our learning. 1) Complete question 1 on the Data Recording Sheet (Mandatory Categories). Credit: iStockphoto Objectives for the lesson You will understand that: ¨ Data can be collected from many real-life sources and used for future mathematical study. ¨ Analysis of data can provide information to help make decisions about positive changes in your study habits and lives. ¨ Working together builds a positive learning community. You will be able to: ¨ Collect data from your daily life. ¨ Work positively in a group to make a decision. 2) Now look at question 2 on the Data Recording Sheet (Optional Categories). We need to narrow down the list to three categories. Rate the categories by putting them in order from most likely to affect your ability to learn (#1) to least likely to affect your learning (#9). Consensus is an agreement. It is not a vote. When we vote, some people win and others lose. With consensus, the group comes to an agreement that everyone supports. 3) Discuss your priorities with your group and come to consensus on your group’s top three choices. A consensus means that you all agree. In a community of learners, everyone wins. Answers will vary. Sample answers: They all had the same top three; everyone had at least one of their top three choices in the group’s top three list. The Charles A. Dana Center at The University of Texas at Austin 9 Version 1.0 Quantitative Reasoning Suggested Instructor Notes 1.A, Data for life 4) How did your group make your choices and reach consensus? Answers will vary. 5) As we begin the course and create a positive learning environment, let’s reflect on activities that can positively affect your ability to learn. List three activities that would have a positive effect on your learning in this class. Answers will vary. Sample answer: Attending every day; doing homework; seeking help when needed. 6) Now reflect on activities that could negatively affect your ability to learn. List three activities that would have a negative effect on your learning in this class. Answers will vary. Sample answers: Being a single parent; number of hours have to work; lack of exercise; concerns about finances; math or test anxiety; not enough time to study. 7) List one action that you could take to minimize the negative effects on your learning. Answers will vary. 8) Collect your data on daily water consumption for the next 10 days on the Daily Water Consumption Data Recording Table below. You will need this information for a later lesson. Daily Water Consumption Data Recording Table Day Number of cups of water consumed per day 1 2 The Charles A. Dana Center at The University of Texas at Austin 3 4 5 10 6 7 8 9 10 Version 1.0 Quantitative Reasoning Suggested Instructor Notes 1.A, Data for life Data Recording Sheet 1) Complete the information for the following Mandatory Categories table below. Mandatory Categories Record your personal information. Gender (male or female) Height, expressed as a decimal in feet and inches (For example: 5’ 7” = about 5.58 feet) Number of hours per week working on math with others outside of class (tutoring, study group) Number of hours per week working on math alone outside of class Number of hours per week spent in math class Number of cups of water consumed per day Number of hours per week commuting to work and college 2) Consider the Optional Categories table below. Number the categories from most likely to affect your learning (#1) to least likely to affect your learning (#9). Discuss your ordering with your group members. Then the class will come to consensus on the top three categories for the class. These categories will be used as data sets in future lessons. When the top three categories are identified, record your own data for those three categories. Turn in this sheet to your instructor at the end of class. Optional Categories Number your choices. Record your personal information for the top three categories chosen by the class. Number of alcoholic beverages consumed per week Number of caffeinated beverages consumed per week Number of daily servings of fruits and vegetables Number of daily servings of protein Number of hours exercising (e.g., walking, yoga, biking, sports) per week Number of hours using technology for fun per week (e.g., TV, email, video games, texting, Facebook) Number of hours working per week Number of hours sleeping per week Number of hours preparing meals and eating per week The Charles A. Dana Center at The University of Texas at Austin 11 Version 1.0 Quantitative Reasoning Suggested Instructor Notes 1.A, Data for life The Charles A. Dana Center at The University of Texas at Austin 12 Version 1.0 Quantitative Reasoning Student Pages 1.B, Our learning community Lesson 1, Part B Our Learning Community Building a strong learning community can help everyone achieve at a higher level in this class. 1) What are some things each of us can do to contribute to our learning community? Credit: iStockphoto Objectives for the lesson You will understand: ¨ Your importance in the learning community. ¨ The course policies and procedures you need to know and follow. You will be able to: ¨ Seek and give help to one another inside and outside of class. 2) Use your syllabus and conversations with classmates to complete the information on these pages. Use them as a resource throughout the semester, adding to them when you find new avenues of support. Instructor’s Name Instructor’s Office Location Instructor’s Office Hours Office Phone Number Email Address Tutoring Lab Location and Phone Number Computer Lab Location Other On-campus Resources Classmate(s) Contact Information The Charles A. Dana Center at The University of Texas at Austin 13 Version 1.0 Quantitative Reasoning Student Pages 1.B, Our learning community The Charles A. Dana Center at The University of Texas at Austin 14 Version 1.0 Quantitative Reasoning Suggested Instructor Notes 1.B, Our learning community Lesson 1, Part B Our Learning Community Overview and student objectives Overview Lesson Length: 25 minutes Although most students will have formed learning communities in the feeder math course, Foundations of Mathematical Reasoning, they may not have all been in the same course section. Therefore, it is important to spend time building this new learning community. The suggested strategies are optional and may be customized, but bear in mind that the goals of this class meeting are to: Prior Lesson: Lesson 1, Part A, “Data for Life” Next Lesson: Lesson 1, Part C, “Instant Runoff” (25 minutes) Constructive Perseverance Level: 1 Theme: Student Success • Lay the foundations for a positive learning environment. • Establish a sense of community and shared responsibility. • Help students form connections with one another and with the instructor. • Give students key information about course content, policies, and structures. Goal: Communication Quantitative Reasoning Outcomes: None Related Foundation Outcomes: None Objectives Students will understand: • Their importance in the learning community. • The course policies and procedures they need to know and follow. Students will be able to: • Seek and give help to one another inside and outside of class. Instructors will: • Gather information about students and/or initiate activities to help to make a personal connection with each student. Suggested resources and preparation Materials and technology • Computer, projector, document camera • Poster paper for class norms and group supports. Save responses and bring to class for the first few class meetings, or type up and make them available to the students to add to their binders. • Index cards • Student Pages for Lesson 1, Part B The Charles A. Dana Center at The University of Texas at Austin 15 Version 1.0 Quantitative Reasoning Suggested Instructor Notes 1.B, Our learning community o Student Information Sheet o Syllabus Quiz • Preview Assignment 1.C Prerequisite assumptions There are no mathematical prerequisite assumptions for this lesson. There is the assumption that most students will have taken Foundations of Mathematical Reasoning during a prior semester. Making connections This lesson: • Connects back to the learning community and student success strategies in Foundations of Mathematical Reasoning. • Connects forward to the strategies for working groups that will be needed regularly throughout the course. Background context A learning community is a group of people who share common emotions, values, or beliefs and are actively engaged in learning together from one another. Community psychologists such as McMillan and Chavis (1986) state that there are four key factors that define a sense of community: 1) membership, 2) influence, 3) fulfillment of individuals needs, and 4) shared events and emotional connections.1 The participants of a learning community must feel some sense of loyalty and belonging to the group (membership) that drive their desire to keep working and helping others. Also, the things that the participants do must affect what happens in the community—that means, an active and not just a reactive performance (influence). Besides a learning community must give the chance to the participants to meet particular needs (fulfillment) by expressing personal opinions, asking for help or specific information, and sharing stories of events with particular issue included (emotional connections) emotional experiences. Suggested instructional plan Frame the lesson (6 minutes) Student Page • In the previous activity, students worked in groups to collect data about themselves. In this lesson, students will analyze characteristics that contribute to a productive, whole class learning community as well as to productive work groups. 1 McMillan, D. W., & Chavis, D. M. (1986). “Sense of community: A definition and theory.” Journal of Community Psychology, 14, 6–23. The Charles A. Dana Center at The University of Texas at Austin 16 Version 1.0 Quantitative Reasoning Suggested Instructor Notes 1.B, Our learning community • Take a moment to talk about the definition of a learning community (see Background context of this lesson). • Refer students to the first question on the Student Page. Give students a couple of minutes to jot down a response to the question. • Solicit student responses, validating those responses by noting them on the poster paper. Continue to probe for participation responses such as “contribute to our group discussion,” “be polite,” etc., and more policy-focused responses such as “come to class,” “be on time,” “bring materials,” etc. o Ask, “What if you are having difficulty?” • Transition to the lesson activities by briefly discussing the Objectives for the lesson. Lesson activities (15 minutes) Caution: • Timing is important with this lesson as there are many components. If this lesson is the first day of class, it will be important to have enough time to discuss the syllabus at the end of the class. • Be aware that there may be some students who were not in the Foundations of Mathematical Reasoning class. They may need additional support in acclimating to this classroom environment. • This course will challenge students both in terms of content and in terms of expectations of them as learners. You can expect a variety of emotional reactions: excitement about a “different” way of learning math; anxiety about something that is unfamiliar; resentment that you are not “teaching” them in the way to which they are accustomed. • Students are most willing to work hard and try new things when they understand the reason for it. Therefore, throughout the course, look for opportunities to explain to students why you make certain instructional choices or why activities are designed in a certain way. Such explanations are valuable when you see signs of frustration. Strategy: Define a “positive learning environment” Lead a class discussion. It is important to acknowledge and honor both positive and negative reactions. Interject information in the discussion. Important points to make: Group Work • Group work will be an important part of the course. Research shows that people learn and remember information best when they experience learning in a variety of ways (e.g., listening, talking, writing, reading, doing). This course is structured to incorporate these different ways of learning. In an active, collaborative learning The Charles A. Dana Center at The University of Texas at Austin 17 Version 1.0 Quantitative Reasoning Suggested Instructor Notes 1.B, Our learning community environment, students are responsible for their own learning and for supporting the learning of others. Class Discussion • Write the group task on the board: o “In your group, create two lists: 1) Things that support my learning when working in a group; and 2) Things that inhibit (or interfere with) my learning when working in a group.” • Give groups about 5 minutes to generate their lists. After about 3 minutes, prompt them to start the second list if they have not done so (although they may be working on both lists at once). • Take one “supports learning” comment from each group, creating a list on poster paper. Continue until all groups feel their responses have been represented. • Repeat the process for the “inhibits learning” comments. o Be sure the “supports learning” list includes: Be positive about yourself and working with your peers; be respectful of one another; work hard to be a productive member of a group. • Hold a whole class discussion about the two lists. o “How can these two lists help us this semester?” o “What can I do as the instructor to help you have successful working groups?” Strategy: Student information sheet (sample included in this document) Ask students to complete a short form that summarizes key information about them. This information sheet can also be a way to gather contact information if you do not have easy access to that information. Collect the Student Information Sheets. Optional Strategy: Quick reference index cards Give each student an index card. Ask them to write their names, the contact information they wish to share with you, and responses to two or three quick prompts. For example: • “When did you take your last math class?” • “Is this your first time in college?” • An excellent prompt is “Tell me something interesting about yourself.” Responses to these questions give you something to talk about with students and can be an aid in learning names. You can also use the cards in class to randomize calling upon students. Optional Strategy: Math autobiography • You might also choose to ask students to complete a math autobiography in more detail than the information sheet or a math journal to be completed throughout the term. The Charles A. Dana Center at The University of Texas at Austin 18 Version 1.0 Quantitative Reasoning Suggested Instructor Notes 1.B, Our learning community Wrap-up/transition (4 minutes) Wrap-up Transition • Have students refer back to the Objectives for the lesson and check the ones they recognize from the activity. Alternatively, they may check objectives throughout the lesson. • Suggest that students move their Student Page with question 2 to the front of their binders for easy reference throughout the semester. o If you plan to type and distribute the class and group norms, tell students the method of distribution. (Example: “I will bring them to class next time” or “I will distribute via the online course website.”) • Alternatively, note that you will bring the lists to the first few class meetings to help the class and groups learn to work productively. • Move on to a discussion of the syllabus. o “Now we’ll get more specific about the course requirements.” o A strategy called “crowd sourcing” could be used to engage the students in a discussion of the syllabus. Students report to the class an item that is important on each page. • Alternatively, distribute the syllabus and ask students to read it at home and bring it to the next class for discussion. Suggested assessment, assignments, and reflections • Give assignments for any activities that you want students to complete outside of class. o Setting classroom norms o Syllabus quiz (could be given at the end of this class or beginning of the next class) o Student information sheet o Math autobiography • Prepare students for the next class. o Determine which QR lessons you will cover during the next class meeting, and assign the Preview Assignments for those lessons. o Suggestion for students who missed this class: Make personal contact with any students who miss this information. Ideally, the students should meet with you during office hours. At a minimum, try to talk to the student before or after the next class. Depending on the norms and routines that you have established, you might also ask other students to help the absent students understand the role of community and the expectations that the class has established. The Charles A. Dana Center at The University of Texas at Austin 19 Version 1.0 Quantitative Reasoning Suggested Instructor Notes 1.B, Our learning community Syllabus quiz Student Name ________________________________________________ 1) What is the course instructor’s office phone number? 2) On what day(s) and time(s) are office hours held? 3) What is the attendance policy for this course? 4) What overall percentage will result in a C grade for the semester? 5) True or False? For any false statement, please correct the statement. a) Attendance is crucial for success in this course. b) You will complete the entire midterm and the entire final exam in class. c) Late assignments can be handed in up to three weeks after the due date. d) Any student who attends class, takes good notes, completes assignments, and studies outside of class should receive a good grade in this course. 6) What are the criteria for receiving maximum points for participation? 7) Homework assignments account for what portion of your final grade? 8) When are the tests scheduled for this class? The Charles A. Dana Center at The University of Texas at Austin 20 Version 1.0 Quantitative Reasoning Suggested Instructor Notes 1.B, Our learning community Student information sheet Personal Full name: Current address: Contact information (please complete at least one method of contact): Home phone: Cell phone: Email: Other: Do you work? (yes / no) If yes: full-time or part-time? How many hours? Are there other outside obligations or factors that might influence your performance in this class that you would like for me to know? Academic What is your major? (put “undeclared” if relevant): Where did you go to high school? What year did you graduate from high school? Do you plan to transfer from this college? circle one: yes / no If yes, where do you plan to transfer? What other colleges (if any) have you attended? The Charles A. Dana Center at The University of Texas at Austin 21 Version 1.0 Quantitative Reasoning Suggested Instructor Notes 1.B, Our learning community Course-specific What math courses have you taken at the community college level? List the courses you are enrolled in this semester. What grade do you intend to earn in this course? What strengths or assets do you have that will help you achieve your goal in this course? These strengths/assets can include things about you, such as being a hard worker or things about your life such as having a supportive family or having a flexible work schedule. Course Date College What is your level of comfort with math? 1 2 3 4 Not comfortable The Charles A. Dana Center at The University of Texas at Austin 5 6 7 8 9 10 Very comfortable 22 Version 1.0 Quantitative Reasoning Suggested Instructor Notes 1.B, Our learning community Lesson 1, Part B Our Learning Community – ANSWERS Building a strong learning community can help everyone achieve at a higher level in this class. 1) What are some things each of us can do to contribute to our learning community? Answers will vary. Sample answers: Be on time, contribute to discussion; bring materials; do homework; be polite; seek help when needed; offer help to others. Credit: iStockphoto Objectives for the lesson You will understand: ¨ Your importance in the learning community. ¨ The course policies and procedures you need to know and follow. You will be able to: ¨ Seek and give help to one another inside and outside of class. 2) Use your syllabus and conversations with classmates to complete the information on these pages. Use them as a resource throughout the semester, adding to them when you find new avenues of support. Instructor’s Name Instructor’s Office Location Instructor’s Office Hours Office Phone Number Email Address Tutoring Lab Location and Phone Number Computer Lab Location Other On-campus Resources Classmate(s) Contact Information The Charles A. Dana Center at The University of Texas at Austin 23 Version 1.0 Quantitative Reasoning Suggested Instructor Notes 1.B, Our learning community The Charles A. Dana Center at The University of Texas at Austin 24 Version 1.0 Quantitative Reasoning Preview Assignment 1.C Preview Assignment 1.C Monitoring your readiness In preparing for the next math class and lessons, reflect on the discussions from the first class on building a learning community, working collaboratively with your classmates, and how you can manage your personal time to work effectively in this class. 1) For each of the following, rate how confident you are to proceed in this class. Use the following descriptions to rate yourself: 5—I am extremely confident 4—I am somewhat confident 3—I am not sure how confident 2—I am not very confident 1—I am definitely not confident Skills needed for Lesson 1, Part C Skill or Concept: I . . . Rating from 1 to 5 Understand the expectations of this course. Understand what a learning community is. Can manage my time effectively to be successful in this course. Can work in a group during class to discuss and solve a math problem. Can read mathematics assignments and begin the problems. Use your ratings to prepare for future lessons. If your rating is a 3 or below, you should get help early in this course. Ways to get help: • see your instructor for help • ask your instructor for on-campus resources • set up a study group with classmates so you can help each other • work with a tutor The Charles A. Dana Center at The University of Texas at Austin 25 Version 1.0 Quantitative Reasoning Preview Assignment 1.C The Charles A. Dana Center at The University of Texas at Austin 26 Version 1.0 Quantitative Reasoning Student Pages 1.C, Instant Runoff Lesson 1, Part C Instant Runoff Elections are held every day to choose persons for public office. Election methods can also be used to select between multiple scenarios or issues, such as the menu for an office party. 1) In an election involving two people, when looking at the votes cast, what criteria would you use to determine who should win? What about an election involving three people? Credit: iStockphoto Objectives for the lesson You will understand: ¨ That earning the most votes may not be sufficient to win an election. ¨ That there are multiple considerations and methods for ranking candidates in an election. ¨ That multiple ranking methods can be employed to make decisions about other issues. ¨ The difference between the terms plurality and majority in an election. You will be able to: ¨ Create a first-degree equation involving percentages and solve for the variable. ¨ Employ the “Instant Runoff” method to determine the winner of an election. ¨ Apply and justify selection strategies to election results and decisions about other issues. “The term plurality, also called relative majority used in the context of voting, refers to the largest number of votes to be received by any candidate (or any proposal in a referendum). It is contrasted with an absolute majority, or simple majority, which is more than half of the votes . . . In an election contested by more than two candidates, plurality occurs when one candidate receives the most votes, but not necessarily more than half of the votes while in a majority election, a candidate wins if they receive over half of the votes. When no candidate receives a majority in the first round of voting, a two-round system or ranked voting system can be used to choose a winner.”1 1 Source: http://en.wikipedia.org/wiki/Plurality_(voting) The Charles A. Dana Center at The University of Texas at Austin 27 Version 1.0 Quantitative Reasoning Student Pages 1.C, Instant Runoff Joe Agris Curt Cleaver Ted Cruz David Dewhurst Ben Gambini Craig James Tom Leppert Lela Pittenger % of Vote Glenn Addison Candidate 2) In 2012, one of Texas’ U.S. Senate seats was up for grabs. Nine candidates were on the ballot for the Republican Party primary. The results of the primary are shown below.2 Who do you think should have won? Why? 2% 0% 0% 34% 45% 1% 4% 13% 1% 3) Texas election rules state that elections are majority elections. Who is the winner of this election? 4) The number of votes received by Cruz and Dewhurst are listed below. Part A: How many total votes were cast in the election? Part B: How many votes would be needed to win in a majority election? Candidate Original Primary Votes (%) Ted Cruz 477,428 (34%) David Dewhurst 621,850 (45%) 5) Since no candidate received a majority in original primary election, the election rules required a runoff election. The results of the runoff election are shown below. The runoff is also a majority election. Who won the runoff election? How? Candidate Runoff Votes (%) Ted Cruz 628,336 (57%) David Dewhurst 477,888 (43%) 2 Source: http://www.thepoliticalguide.com/Elections/2012/Senate/Texas/1/ The Charles A. Dana Center at The University of Texas at Austin 28 Version 1.0 Quantitative Reasoning Student Pages 1.C, Instant Runoff Another election method called the “Instant Runoff” method, or elimination method, is to ask voters to rank the candidates in order of preference. Consider this new scenario and election method. The compiled results are shown in a table, called a preference schedule. 6) Three candidates (Alex, Blake, and Charlie) applied for a position at a company. The interviewing committee ranked their choices in order of preference in the table below. Notice that three people ranked Alex in 1st place and Blake in 2nd place, and so on. st 1 choice 2nd choice 3rd choice 3 voters Alex Blake Charlie 1 voter Alex Charlie Blake 2 voters Blake Alex Charlie 1 voter Blake Charlie Alex 2 voters Charlie Blake Alex Part A: How many voters were on the interviewing committee? Part B: A majority is still needed to win in his scenario. How many votes are needed for a majority? Part C: How many 1st place votes did each candidate receive? Do we have a winner? Part D: Which candidate received the fewest 1st place votes? To employ the Instant Runoff method, mark out or eliminate that person’s name in each column of the table. Any name below that one in the table will now move up. Part E: How many 1st place votes do we now award to the two remaining candidates? Who wins the election? 7) The method shown in question 5 is known as the Instant Runoff method. What are some pros and cons of this method? 8) Can you think of another election method for choosing the winning candidate in an election? What are pros and cons of your method? Can any process guarantee that the choice made (or winner) in an election is correct and fair to all candidates? The Charles A. Dana Center at The University of Texas at Austin 29 Version 1.0 Quantitative Reasoning Student Pages 1.C, Instant Runoff The Charles A. Dana Center at The University of Texas at Austin 30 Version 1.0 Quantitative Reasoning Suggested Instructor Notes 1.C, Instant Runoff Lesson 1, Part C Instant Runoff Overview and student objectives Overview Lesson Length: 25 minutes In this lesson, students begin a sequence of activities around civic responsibility by exploring some concepts of social choice. Specifically, they investigate the first of several ways to determine the winner of an election. Lesson 1, Part D extends the discussion with the Borda Count method. Prior Lesson: Lesson 1, Part B, “Our Learning Community” An important point of this lesson is to encourage discussion as the students in the class get to know one another. Constructive Perseverance Level: 1 Objectives Theme: Civic Responsibility Students will understand: Goals: Reasoning, Evaluation Next Lesson: Lesson 1, Part D, “Borda Count” (25 minutes) • That earning the most votes may not be sufficient to win an election. • That there are multiple considerations and methods for Related Foundations Outcome: N8 ranking candidates in an election. • That multiple ranking methods can be employed to make decisions about other issues. • The difference between the terms plurality and majority in an election. Quantitative Reasoning Outcomes: N1, N2 Students will be able to: • Create a first-degree equation involving percentages and solve for the variable. • Employ the “Instant Runoff” method to determine the winner of an election. • Apply and justify selection strategies to election results and decisions about other issues. Suggested resources and preparation Materials and technology • Computer, projector, document camera • Preview Assignment 1.C (for review; students will have completed before class) • Student Pages of Lesson 1, Part C • Practice Assignment 1.C • Syllabus Quiz from Lesson 1, Part B, if desired • Determine a grouping method, such as a deck of cards. The Charles A. Dana Center at The University of Texas at Austin 31 Version 1.0 Quantitative Reasoning Suggested Instructor Notes 1.C, Instant Runoff Prerequisite assumptions Students should be able to determine the original amount, given the percentage that a given number is of the original. Making connections This lesson: • Connects back to work that students encountered in the Foundations of Mathematical Reasoning course, reading, interpreting, and making decisions about data summarized in tables and graphical displays. • Connects forward to the remainder of the course in which decisions are based on data rather than emotion or anecdotal evidence. Background context None. Suggested instructional plan Frame the lesson (5 minutes) Student Page • Give Syllabus Quiz from Lesson 1, Part B, if desired. • Be mindful of the timing of each component in this lesson. It will be necessary to stay on task to complete the lesson. • Separate the class into groups of 3 or 4 students by whatever process makes sense to you. Possible methods: o Distribute playing cards to students, and put those who have Kings in one group, all who have Queens in another group, etc. o Create random groups, counting off (1, 2, 3, 4). • Ask students to consider question 1 on the Student Page. Students may respond by saying, “The person with the most votes.” Ask follow-up questions designed to lead to more specificity, such as: o “What if all three candidates each win 33% of the vote?” o “What if two candidates are very close and one candidate is far behind?” o “What if one candidate has almost all of the votes and the other two candidates have very few votes?” o “What if there are four or more candidates? Would your answers to any of the earlier questions change?” o “What if a voter can submit a first choice and a second choice?” • Note: The names for the voting example were purposefully chosen to reflect gender-blindness and can be either a male’s or female’s name. The Charles A. Dana Center at The University of Texas at Austin 32 Version 1.0 Quantitative Reasoning Suggested Instructor Notes 1.C, Instant Runoff • Transition to the lesson activities by briefly discussing the Objectives for the lesson. Lesson activities (17 minutes) Group Work then Debrief Questions 2–5 • Allow about 5 minutes for students to answer questions 2–4. Remind them that they need to always justify their responses in this class. • Students may realize from the discussion of question 1 that just having the most votes may not be sufficient. If not (if students are saying Dewhurst should have won because he had the most votes), ask the following: o “What percent of the voters in this election did not support Dewhurst? What might this indicate about his future ability to lead his constituents?” • For question 3, students often think that a majority of the votes is the same as having the most votes. o Ask, “If majority means ‘more than 50% of the votes,’ how many votes are needed to win a majority in an election with 20 voters? How many votes are needed in an election with 27 voters?” [Answer: With 20 voters, 20 x 0.50 = 20/2 = 10 votes are needed to win exactly 50%, so 11 votes are needed to capture more than 50% of the votes. With 27 voters, 27/2 = 13.5 votes, so 14 or more votes would constitute a majority.] • Students will need to realize that only 79% of the votes are shown in the table and that they need to find 79% of total votes shown. Questions 6–8 Group Work then Debrief • Point out that the table in question 6 is called a preference schedule, as it shows the preferences of the voters. • Allow about 5 minutes for group work on these questions. Circulate throughout the room and ask questions to ensure that students are reading the table correctly. o For example, ask, “Is it clear to you how many first-choice votes were received by Charlie?” • Question 6, Parts A and B: Indicate to students that it is always a good practice to first determine the total number of voters and the number needed for a majority. There may be a majority winner, and work done in eliminating the lowest vote getter will be wasted. • Question 6, Part C: Students determine that Alex does not have enough votes for a majority. o Ask, “Hypothetically, what if we give the position to Alex? How do the people who didn’t put Alex in 1st place feel about him or her?” The Charles A. Dana Center at The University of Texas at Austin 33 Version 1.0 Quantitative Reasoning Suggested Instructor Notes 1.C, Instant Runoff [Answer: Three people put Alex in last place, which is almost as many who put Alex in first place.] • Question 6, Parts D and E: Charlie has the fewest 1st place votes. Eliminating Charlie only affects the last column, where Charlie was first. Blake would move up into the 1st place slot, giving Blake a total of five 1st place votes. Blake now has a majority and is the winner. Wrap-up/transition (3 minutes) Wrap-up • The overall goal is to give students awareness that there are multiple methods to run elections and to count votes and that there is not necessarily a “right” method. The next lesson will explore the Borda Count method. • Ask students to reflect on this lesson and write their reflections on a 3x5-inch card. Sample questions and prompts include: o “Was the lesson interesting? How did the discussion go in your group? Did everyone contribute? How can we ensure that group discussions are productive?” o “List one concept that is not clear after the lesson.” o “Is there anything you would like to share with your instructor?” • Have students refer back to the Objectives for the lesson and check the ones they recognize from the activity. Alternatively, they may check objectives throughout the lesson. • Mention that the next lesson will explore another method of choosing a winner in an election. Transition Suggested assessment, assignments, and reflections • Give Practice Assignment 1.C. • Give the Preview Assignments, if any, for the lesson activities that you plan to complete in the next class meeting. The Charles A. Dana Center at The University of Texas at Austin 34 Version 1.0 Quantitative Reasoning Suggested Instructor Notes 1.C, Instant Runoff Lesson 1, Part C Instant Runoff – ANSWERS Elections are held every day to choose persons for public office. Election methods can also be used to select between multiple scenarios or issues, such as the menu for an office party. 1) In an election involving two people, when looking at the votes cast, what criteria would you use to determine who should win? What about an election involving three people? Answers will vary. Credit: iStockphoto Objectives for the lesson You will understand: ¨ That earning the most votes may not be sufficient to win an election. ¨ That there are multiple considerations and methods for ranking candidates in an election. ¨ That multiple ranking methods can be employed to make decisions about other issues. ¨ The difference between the terms plurality and majority in an election. You will be able to: ¨ Create a first-degree equation involving percentages and solve for the variable. ¨ Employ the “Instant Runoff” method to determine the winner of an election. ¨ Apply and justify selection strategies to election results and decisions about other issues. “The term plurality, also called relative majority used in the context of voting, refers to the largest number of votes to be received by any candidate (or any proposal in a referendum). It is contrasted with an absolute majority, or simple majority, which is more than half of the votes . . . In an election contested by more than two candidates, plurality occurs when one candidate receives the most votes, but not necessarily more than half of the votes while in a majority election, a candidate wins if they receive over half of the votes. When no candidate receives a majority in the first round of voting, a two-round system or ranked voting system can be used to choose a winner.”1 1 Source: http://en.wikipedia.org/wiki/Plurality_(voting) The Charles A. Dana Center at The University of Texas at Austin 35 Version 1.0 Quantitative Reasoning Suggested Instructor Notes 1.C, Instant Runoff Joe Agris Curt Cleaver Ted Cruz David Dewhurst Ben Gambini Craig James Tom Leppert Lela Pittenger % of Vote Glenn Addison Candidate 2) In 2012, one of Texas’ U.S. Senate seats was up for grabs. Nine candidates were on the ballot for the Republican Party primary. The results of the primary are shown below.2 Who do you think should have won? Why? 2% 0% 0% 34% 45% 1% 4% 13% 1% Answers will vary. 3) Texas election rules state that elections are majority elections. Who is the winner of this election? Answer: There is no winner. To have a majority, a candidate must win more than half of the votes. Although Dewhurst received more votes than anyone else, a plurality, he didn’t receive more than 50%. 4) The number of votes received by Cruz and Dewhurst are listed below. Part A: How many total votes were cast in the election? Sample answer: To find the total number of votes, create an equation and solve for x: (0.34+0.45)x = (477,428+621,850) 0.79x = 1,099,278 x = 1,391,491 total votes cast Part B: How many votes would be needed to win in a majority election? Candidate Original Primary Votes (%) Ted Cruz 477,428 (34%) David Dewhurst 621,850 (45%) Answer: Votes needed to win a majority election: 1,391,491/2 = 695,745 2 Source: http://www.thepoliticalguide.com/Elections/2012/Senate/Texas/1/ The Charles A. Dana Center at The University of Texas at Austin 36 Version 1.0 Quantitative Reasoning Suggested Instructor Notes 1.C, Instant Runoff 5) Since no candidate received a majority in original primary election, the election rules required a runoff election. The results of the runoff election are shown below. The runoff is also a majority election. Who won the runoff election? How? Candidate Runoff Votes (%) Ted Cruz 628,336 (57%) David Dewhurst 477,888 (43%) Answer: Ted Cruz won the runoff. He received a majority of the votes in the runoff election. It appears that he not only received many of the votes of the losing candidates from the original primary, but he may have also captured some of David Dewhurst’s votes. (Either that or many of Dewhurst’s supporters in the original primary didn’t show up for the runoff.) Another election method called the “Instant Runoff” method, or elimination method, is to ask voters to rank the candidates in order of preference. Consider this new scenario and election method. The compiled results are shown in a table, called a preference schedule. 6) Three candidates (Alex, Blake, and Charlie) applied for a position at a company. The interviewing committee ranked their choices in order of preference in the table below. Notice that three people ranked Alex in 1st place and Blake in 2nd place, and so on. 1st choice 2nd choice 3rd choice 3 voters Alex Blake Charlie 1 voter Alex Charlie Blake 2 voters Blake Alex Charlie 1 voter Blake Charlie Alex 2 voters Charlie Blake Alex Part A: How many voters were on the interviewing committee? Answer: There were 9 voters. Part B: A majority is still needed to win in his scenario. How many votes are needed for a majority? Answer: At least 5 votes are needed (9/2 = 4.5, then round up). The Charles A. Dana Center at The University of Texas at Austin 37 Version 1.0 Quantitative Reasoning Suggested Instructor Notes 1.C, Instant Runoff Part C: How many 1st place votes did each candidate receive? Do we have a winner? Answer: Alex received 4 first place votes, Blake received 3 and Charlie received 2. No one received a majority, so no winner has been found. Part D: Which candidate received the fewest 1st place votes? To employ the Instant Runoff method, mark out or eliminate that person’s name in each column of the table. Any name below that one in the table will now move up. Answer: Charlie received the fewest 1st place votes and is eliminated. Part E: How many 1st place votes do we now award to the two remaining candidates? Who wins the election? Answer: Alex received four 1st place votes and Blake received five 1st place votes. Blake now has a majority and wins the election. (The table below is not required but illustrates the rationale for Blake.) 3 voters 1st choice Alex 2nd choice Blake 3rd choice Charlie 1 voter Alex Charlie Blake 2 voters Blake Alex Charlie 1 voter Blake Charlie Alex 2 voters Charlie Blake Alex 7) The method shown in question 5 is known as the Instant Runoff method. What are some pros and cons of this method? Answers will vary. Sample answer: Pro: The Instant Runoff method saves time and money, and reduces the amount of effort required (e.g., people don’t have to come back and vote again). Con: This method could be cumbersome if there is a large number of voters or candidates. 8) Can you think of another election method for choosing the winning candidate in an election? What are pros and cons of your method? Can any process guarantee that the choice made (or winner) in an election is correct and fair to all candidates? Answers will vary. The Charles A. Dana Center at The University of Texas at Austin 38 Version 1.0 Quantitative Reasoning Practice Assignment 1.C Practice Assignment 1.C 1) During the 2013–2014 academic year, Wichita Falls Independent School District in Wichita Falls, Texas, began planning for new and renovated high school facilities. A committee of community members was formed to explore various options for a bond proposal to pay for the plan. The committee presented three options to the Board of Trustees.1 Plan Estimated Minimum Cost Plan A $132 million Plan B $168 million Plan C $127 million Major Features Build one new school Renovate two old schools Build two new schools Close all old schools Build one new school Renovate one old school The Board of Trustees needed to decide on which plan to put on the ballot in the bond election. Suppose that the board members ranked their choices, with the results shown in the preference schedule below. The election method used to determine the winner is the elimination method. 1st Choice 2nd Choice 3rd Choice 3 votes A B C 3 votes B A C 1 votes C A B Part A: How many board members voted? Part B: How many votes are needed for a majority? Part C: Did one plan receive a majority of the votes? If so, which one? Part D: Now use the Instant Runoff method to eliminate one of the plans and look for a winner. Does one plan have a majority of the votes? If so, which one? 1 Source: http://www.wfisd.net/CFAT The Charles A. Dana Center at The University of Texas at Austin 39 Version 1.0 Quantitative Reasoning Practice Assignment 1.C 2) Suppose a different preference schedule of the voting for the school plan resulted in the election. A new preference schedule is shown below. The election is a majority election, using the Instant-Run-Off method, if needed. Which plan is the winner? 3 votes A B C st 1 Choice 2nd Choice 3rd Choice 2 votes B A C 2 votes B C A 3) Suppose the board members decided not to recommend a plan, but instead put all of the plans on a ballot for a community-wide ranking election. Voters were also given the choice of “Keep” to designate keeping all the schools the way they are. The resulting preference schedule may look something like this: 1st Choice 2nd Choice 3rd Choice 4th Choice Column 1 3,294 votes A B Keep C Column 2 2,461 votes B A Keep C Column 3 1,127 votes Keep C B A Column 4 2,014 votes C Keep A B Column 5 Part A: How many votes were cast in the election shown above? Part B: How many votes were needed for a majority? Part C: Which option had a majority? Part D: Using the Instant Runoff method, which option is eliminated? Plan A? Plan B? Plan C? Option “Keep”? The Charles A. Dana Center at The University of Texas at Austin 40 Version 1.0 Quantitative Reasoning Practice Assignment 1.C Part E: Once the option from Part D is eliminated, how many 1st place votes does each option have? Part F: None of the remaining options has a majority. You would need to perform another elimination. Which option should be eliminated next, and which option is the ultimate winner? Part G: Look back at Parts A–F. Compare how each plan began with how the plan ended in the results. For example, how popular was Plan A in Part D? Where did Plan A finish? Perform this analysis for each plan. The Charles A. Dana Center at The University of Texas at Austin 41 Version 1.0 Quantitative Reasoning Practice Assignment 1.C The Charles A. Dana Center at The University of Texas at Austin 42 Version 1.0 Quantitative Reasoning Student Pages 1.D, Borda Count Lesson 1, Part D Borda Count Recall that in Lesson 1, Part C, an interviewing committee was trying to select the appropriate applicant to fill a job position. In this lesson, we will explore another election method called the Borda Count method. 1) Suppose the committee’s preference schedule looks like the one shown below. Credit: iStockphoto Part A: How many people are on the committee? How many votes are needed for a majority? Part B: Does anyone have a majority of the votes? 1st choice 2nd choice 3rd choice Column 1 1 voter Alex 3 voters Alex 3 voters Blake 1 voter Blake Blake Charlie Alex Charlie Charlie Blake Charlie Alex Column 2 Column 3 Column 4 Column 5 Objectives for the lesson You will understand: ¨ Earning the most votes may not be sufficient to win an election. ¨ There are multiple considerations and methods for ranking candidates in an election. ¨ Multiple ranking methods can be employed to make decisions about other issues. You will be able to: ¨ Employ the Borda Count method to determine the winner of an election. ¨ Apply and justify selection strategies to election results. The Charles A. Dana Center at The University of Texas at Austin 43 Version 1.0 Quantitative Reasoning Student Pages 1.D, Borda Count 2) In the Borda Count method, voters’ choices are given weights. In an election with 3 choices, a voter’s 1st choice is worth 3 points, the 2nd choice is worth 2 points, and the 3rd choice is worth 1 point. Part A: Write these point values in the appropriate cells of the first column. Part B: Column 2 represents one voter. How many points did that voter give Alex? Blake? Charlie? Write the appropriate points next to each applicant’s name in Column 2. Part C: In Column 3, how many total points did Alex receive? (Notice that three voters put Alex in 1st place, each giving him 3 points.) How many points did Charlie and Blake receive? Fill in Column 3, then continue to Columns 4 and 5. Part D: How many total points did each candidate receive? Who should be offered the position? Part E: If that person already took another job and turns down the offer, should the committee offer the job to someone else? If so, who and why? Part F: How many points does each voter award to candidates? How many total points are then available to candidates? How can you use this information to cross-check your work? 3) Does the “point” method of the Borda Count election method provide advantages or disadvantages over the elimination method in Lesson 1, Part C? Explain your answer. The Charles A. Dana Center at The University of Texas at Austin 44 Version 1.0 Quantitative Reasoning Suggested Instructor Notes 1.D, Borda Count Lesson 1, Part D Borda Count Overview and student objectives Overview Lesson Length: 25 minutes In this lesson, students continue their investigation of voting and election methods by awarding points to their favorite candidate or issue using the Borda Count method. It is important to note that students should know that election organizers should not manipulate an election in order to elect their favorite candidate, but instead choose the method in advance of the election. Prior Lesson: Lesson 1, Part C, “Instant Runoff” Students should continue to work in the same groups in order to develop a high level of comfort with one another and the class as a whole and continue to build a learning community. Objectives Next Lesson: Lesson 2, Part A, “Graphical Displays” (25 minutes) Constructive Perseverance Level: 1 Theme: Civic Responsibility Goals: Reasoning, Evaluation Quantitative Reasoning Outcomes: N1, N2 Related Foundations Outcome: N8 Students will understand that: • Earning the most votes may not be sufficient to win an election. • There are multiple considerations and methods for ranking candidates in an election. • Multiple ranking methods can be employed to make decisions about other issues. Students will be able to: • Employ the Borda Count method to determine the winner of an election. • Apply and justify selection strategies to election results. Suggested resources and preparation Materials and technology • Computer, projector, document camera • Student Pages for Lesson 1, Part D • Practice Assignment 1.D Prerequisite assumptions None. The Charles A. Dana Center at The University of Texas at Austin 45 Version 1.0 Quantitative Reasoning Suggested Instructor Notes 1.D, Borda Count Making connections This lesson: • Connects back to work that students encountered in the Foundations of Mathematical Reasoning course, reading, interpreting, and making decisions about data summarized in tables and graphical displays. • Connects forward to the remainder of the course in which decisions are based on data rather than emotion or anecdotal evidence. Background context None. Suggested instructional plan Frame the lesson (4 minutes) Student Page • Students should be able to immediately begin to answer question 1 without an introduction from the instructor. In the previous example, there were an odd number of voters, so students had to round up to determine the number needed for a majority. In this case, there is an even number (eight) of voters. Watch for students who may simply divide by two and believe that four votes are sufficient for a majority. o Reminder: The names for the voting example were purposefully chosen to reflect gender-blindness and can be either a male’s or female’s name. • Ask: o “Does any applicant have more than 50% of the 1st place votes?” [Answer: No, Alex and Blake each have exactly 50%.] o “If four votes are insufficient for a majority, how many are needed?” [Answer: We have to increase to the next whole number. Five votes are needed for a majority.”] “Why?” • Transition to the lesson activities by briefly discussing the Objectives for the lesson. These objectives are similar to the objectives for Lesson 1, Part C. If you are completing the two lessons on the same day, you may wish to simply point out to students that the objectives are similar. Lesson activities (16 minutes) Group Work then Debrief Questions 2 and 3 • Allow about 12 minutes for students to answer questions 2 and 3. Circulate throughout the room to ensure that students understand the instructions in the introduction to question 2. The Charles A. Dana Center at The University of Texas at Austin 46 Version 1.0 Quantitative Reasoning Suggested Instructor Notes 1.D, Borda Count • Since this lesson is early in the course, you may wish to begin by providing more structure, displaying the table on the document camera and illustrating how to complete the first two columns. However, you may wish to consider whether illustrating the process will undermine your efforts to develop perseverance. • During the debriefing discussion, ask students to consider what impression that interviewing committee members might have about each applicant. For example, in Column 2, one voter ranked the applicants in the following order: Alex, Blake, and Charlie. o Ask, “What impression does this voter have about Charlie?” [Answer: We don’t know. That person may really feel that Charlie is not a good fit for the company. However, he or she may feel that Charlie is a good candidate, just not as strong as Alex or Blake.] • Question 2, Part F: Encourage students to always check their work when possible: “It is very easy to lose your place while computing the points in the Borda Count method, so the cross-check method is important.” • Refer students back to question 1. Remind them to always check for a majority winner at the beginning, rather than jumping to use other methods. Wrap-up/transition (5 minutes) Wrap-up • The overall goal is to give students awareness that there are multiple methods for running elections and to count votes. o Ask students to reflect on question 3. Compare and contrast the methods in Lesson 1, Parts C and D. Point out that either method is fine (and there are other methods as well) and that there is not a “right” method. o The important points are that decisions on which method is appropriate and how to count the votes must be made in advance. • Ask students to reflect on this lesson and write their reflections on a 3x5-inch card. Sample questions and prompts include: o “Was the lesson interesting? How did the discussion go in your group? Did everyone contribute? How can we ensure that group discussions are productive?” o “Is there anything you would like to share with your instructor? “ o “List one concept that is not clear after the lesson.” • Have students refer back to the Objectives for the lesson and check the ones they recognize from the activity. Alternatively, they may check objectives throughout the lesson. Transition The Charles A. Dana Center at The University of Texas at Austin 47 Version 1.0 Quantitative Reasoning Suggested Instructor Notes 1.D, Borda Count • Remind students about Lesson 1, Part A, when student data were collected. Lesson 2, Part A, will explore graphical displays, including a graph of the Lesson 1, Part A data. Suggested assessment, assignments, and reflections • Give Practice Assignment 1.D. • Give the Preview Assignments, if any, for any lesson activities that you plan to complete in the next class meeting. The Charles A. Dana Center at The University of Texas at Austin 48 Version 1.0 Quantitative Reasoning Suggested Instructor Notes 1.D, Borda Count Lesson 1, Part D Borda Count – ANSWERS Recall that in Lesson 1, Part C, an interviewing committee was trying to select the appropriate applicant to fill a job position. In this lesson, we will explore another election method called the Borda Count method. 1) Suppose the committee’s preference schedule looks like the one shown below. Credit: iStockphoto Part A: How many people are on the committee? How many votes are needed for a majority? Answer: There are 8 people voting. Half of 8 is 4, so bump that up to 5 votes to constitute a majority. Part B: Does anyone have a majority of the votes? Answer: No one has a majority. 1st choice (3 pts) 2nd choice (2 pts) 3rd choice (1 pt) Column 1 1 voter Alex (3 pts) 3 voters Alex (9 pts) 3 voters Blake (9 pts) 1 voter Blake (3 pts) Blake (2 pts) Charlie (6 pts) Alex (6 pts) Charlie (2 pts) Charlie (1 pt) Blake (3 pts) Charlie (3 pts) Alex (1 pt) Column 2 Column 3 Column 4 Column 5 Objectives for the lesson You will understand: ¨ Earning the most votes may not be sufficient to win an election. ¨ There are multiple considerations and methods for ranking candidates in an election. ¨ Multiple ranking methods can be employed to make decisions about other issues. You will be able to: ¨ Employ the Borda Count method to determine the winner of an election. ¨ Apply and justify selection strategies to election results. The Charles A. Dana Center at The University of Texas at Austin 49 Version 1.0 Quantitative Reasoning Suggested Instructor Notes 1.D, Borda Count 2) In the Borda Count method, voters’ choices are given weights. In an election with 3 choices, a voter’s 1st choice is worth 3 points, the 2nd choice is worth 2 points, and the 3rd choice is worth 1 point. Part A: Write these point values in the appropriate cells of the first column. Answer: Noted in table in red. Part B: Column 2 represents one voter. How many points did that voter give Alex? Blake? Charlie? Write the appropriate points next to each applicant’s name in Column 2. Answer: Noted in table in red. Part C: In Column 3, how many total points did Alex receive? (Notice that three voters put Alex in 1st place, each giving him 3 points.) How many points did Charlie and Blake receive? Fill in Column 3, then continue to Columns 4 and 5. Answer: Noted in table in red. Part D: How many total points did each candidate receive? Who should be offered the position? Answer: Alex: 3 + 9 + 6 + 1 = 19 points Blake: 2 + 3 + 9 + 3 = 17 points Charlie: 1 + 6 + 3 + 2 = 12 points Alex should be offered the position. Part E: If that person already took another job and turns down the offer, should the committee offer the job to someone else? If so, who and why? Answers may vary. Sample answer: Blake’s total points were close enough to Alex’s that Blake should be offered the position next; a new preference schedule should be created, which eliminates Alex (in which case, Blake wins anyway). The Charles A. Dana Center at The University of Texas at Austin 50 Version 1.0 Quantitative Reasoning Suggested Instructor Notes 1.D, Borda Count Part F: How many points does each voter award to candidates? How many total points are then available to candidates? How can you use this information to cross-check your work? Answer: Each voter awards 6 points (3 points for 1st, 2 points for 2nd and 1 point for 3rd). Since there are 8 voters, each awarding 6 points, there are a total of 48 points to be awarded. Since Alex’s, Blake’s, and Charlie’s points total 48 (19 + 17 + 12), we can be fairly confident that we didn’t make any computational errors. 3) Does the “point” method of the Borda Count election method provide advantages or disadvantages over the elimination method in Lesson 1, Part C? Explain your answer. Answers will vary. The Charles A. Dana Center at The University of Texas at Austin 51 Version 1.0 Quantitative Reasoning Suggested Instructor Notes 1.D, Borda Count The Charles A. Dana Center at The University of Texas at Austin 52 Version 1.0 Quantitative Reasoning Practice Assignment 1.D Practice Assignment 1.D Recall that during the 2013–2014 academic year, the school board in Wichita Falls, Texas, began planning for new and renovated high school facilities. A committee of community members was formed to explore various options for a bond proposal to pay for the plan. The committee presented three options to the Board of Trustees.1 Plan Estimated Minimum Cost Plan A $132 million Plan B $168 million Plan C $127 million Major Features Build one new school Renovate two old schools Build two new schools Close all old schools Build one new school Renovate one old school 1) The Board of Trustees needs to decide on which plan to put on the ballot in the bond election. Suppose that the board members ranked their choices, with the results shown in the preference schedule below. st 1 Choice 2nd Choice 3rd Choice 3 votes A B C 3 votes B A C 1 votes C A B Part A: Using the Borda Count method, how many total points will be distributed? Part B: How many points does each option receive? Part C: Which plan is the winner? 1 Source: http://www.wfisd.net/CFAT The Charles A. Dana Center at The University of Texas at Austin 53 Version 1.0 Quantitative Reasoning Practice Assignment 1.D 2) Suppose that the preference schedule was as shown below. 3 votes A B C st 1 Choice 2nd Choice 3rd Choice 1 votes B A C 2 votes B C A Part A: Is there a majority winner? Part B: Using the Borda Count method, which plan is the winner? 3) Suppose the board members decided not to recommend a plan, but instead put all of the plans on a ballot for a community-wide ranking election. Voters were also given the choice of “Keep” to designate keeping all the schools the way they are. The resulting preference schedule may look something like this: 1st Choice 2nd Choice 3rd Choice 4th Choice 3,294 votes A B Keep C 2,461 votes B A Keep C 1,127 votes Keep C B A 2,014 votes C Keep A B Part A: How many points should be awarded for “1st choice” when using the Borda Count method with 4 options? The Charles A. Dana Center at The University of Texas at Austin 54 Version 1.0 Quantitative Reasoning Practice Assignment 1.D Part B: Use the Borda Count method to determine the winning plan for the school facility plan. Part C: Show the cross-check of your work. Part D: Which option would win if the “Instant Runoff” elimination method from Lesson 1, Part C were used to determine the winner? 4) Consider the scenario presented in the table in question 3 again. What if, before the election, you wanted Plan B to win? Would it be better to promote Plan B or sabotage Plan A in some way such as supporting Plan C? Present other ways to improve the rating of Plan B. 5) Go to the internet and research other real-life uses of the Borda Count method (e.g., http://en.wikipedia.org/wiki/Borda_count). Find and present an example of the use of the Borda Count method. Discuss and explain the use of the method and how the winner is determined. The Charles A. Dana Center at The University of Texas at Austin 55 Version 1.0 Quantitative Reasoning Practice Assignment 1.D The Charles A. Dana Center at The University of Texas at Austin 56 Version 1.0