Copy of POGIL 2

docx

School

University of Miami *

*We aren’t endorsed by this school

Course

Subject

Business

Date

Feb 20, 2024

Type

docx

Pages

Uploaded by MinisterBoulderPuppy35

POGIL 2 Model 1 is adapted from materials by C. Mayfield, T. Shepherd, and H. Hu. This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Other materials adapted from unknown source. Model 1: POGIL Team Roles Decide who will be what role for today; we will rotate the roles each week. If you have only two people, combine the manager and consultant roles. If you have four people, two may share the consultant role. Manager Danny Trujillo ”Let’s put in equal effort” Quality assurance Jeremiah Howard ”I’ll write that down” Consultant Marko Tojagić ”Let’s do our job” Questions (10 minutes) 1. What is the difference between bold and italics on the role cards? Bold= headings and italics are examples of the headings 2. Manager: invite each person to explain their role to the team. Quality assurance: take notes of the discussion by writing down key phrases in the table above. 3. What responsibilities do two or more roles have in common? Both quality assurance and Manager help the team agree on response. 4. For each role, give an example of how someone observing your team would know that a person is not doing their job well. a. Manager Not keeping us on track b. Quality assurance Not writing things down c. Consultant Not observing team dynamics or asking questions.

Model 2: Scenario Amelia has an account with the MakeMoney Brokerage. She enters the local branch office and talks to Mal, a customer representative. Amelia tells Mal that she has an account with MakeMoney and tells him that the account number is 2020. Mal replies that that is possibly the year she opened the account and that the account number should be six digits. Amelia provides the correct account number of 600307. Amelia asks Mal for the balance in the account. Mal accesses Amelia’s account and tells her that her account balance is $30,000 and that the last deposit was on May 31, 2022. Questions about data (6 minutes) 1. Identify one item of data in the paragraph. Account number 2. Identify a second item of data in the paragraph. Amount in the account 3. What other data can be found in the scenario? Year she opened the account 4. Group the data items from the previous three questions into categories of data . Changeable number, date, total balance, fixed string 5. What is the basis for the characterization in item 4 above? What made you decide to put a particular item of data in one category and not another? The 4 items were categorized by their distinct qualities. 6. Give an example of something that Amelia or Mal can do using just data. Find out how much interest Amelia builds. Questions about information (8 minutes) 7. Identify one piece of information in the scenario. Amelia has an account in MakeMoney Brokerage. 8. Why is this piece information and not data? It doesn’t affect the actual account data, but specifies information leading to the data. 9. Identify a second piece of information. Mal is a customer representative 10. What other information can be found in the scenario? The names of the characters 11. Group the pieces of information from the previous questions into categories of information . Names, occupation, Company Name 12. What is the basis for the characterization in the question above? What made you decide to put a particular piece of information in one category and not another? The 3 items were categorized by their distinct qualities. 13. How do the categories of information differ from categories of data? They are not numerical values.

14. Give some examples of decisions that Amelia or Mal can make using information. Access the correct account, recognize each other by name 15. Summarize the difference between data and information. Data is calculable values and can be changed, information cannot be changed. Questions about knowledge (5 minutes) 16. Identify one item of knowledge in the scenario. She knows what company she has an account with. 17. Why does your team consider this knowledge and not data? and not information? It has no actual affect on the data whatsoever 18. Which person in the scenario has this knowledge, and what statement from the scenario is evidence that they have it? She knows her account number and that is the statement of her knowledge. 19. Describe the categories of knowledge that may be found in the domain of brokerage accounts. Account type, account information 20. How do the categories of knowledge compare with the categories of information? Knowledge provides context to the information. 21. As a team, discuss categories of knowledge in other domains. Describe them here. Profession, purchases, people, hobbies Stop here for a debrief with the whole class. Consultant, be prepared to explain your team’s answers to the instructor and the class.

Your preview ends here

Eager to read complete document? Join bartleby learn and gain access to the full version

Access to all documents
Unlimited textbook solutions
24/7 expert homework help

Model 3: Netflix recommendations The Netflix Prize was an open competition for the best algorithm to predict user ratings for films, based on previous ratings without any other information about the users or films, i.e. without the users being identified except by numbers assigned for the contest. The competition began on October 2, 2006. Here is part of the contest rules (read to yourself for 1 to 2 minutes): We’re quite curious, really. To the tune of one million dollars. Netflix is all about connecting people to the movies they love. To help customers find those movies, we’ve developed our world-class movie recommendation system: Cinematch SM . Its job is to predict whether someone will enjoy a movie based on how much they liked or disliked other movies. We use those predictions to make personal movie recommendations based on each customer’s unique tastes. And while Cinematch is doing pretty well, it can always be made better. So, we thought we’d make a contest out of finding the answer. It’s "easy" really. We provide you with a lot of anonymous rating data, and a prediction accuracy bar that is 10% better than what Cinematch can do on the same training data set. (Accuracy is a measurement of how closely predicted ratings of movies match subsequent actual ratings.) If you develop a system that we judge most beats that bar on the qualifying test set we provide, you get serious money and the bragging rights. But (and you knew there would be a catch, right?) only if you share your method with us and describe to the world how you did it and why it works. Upon registration, Participants may access the Contest training data and qualifying test sets. The training data set consists of more than 100 million ratings from over 480 thousand randomly-chosen, anonymous customers on nearly 18 thousand movie titles. The data were collected between October, 1998 and December, 2005 and reflect the distribution of all ratings received by Netflix during this period. The ratings are on a scale from 1 to 5 (integral) stars. To protect customer privacy, all personal information identifying individual customers has been removed and all customer ids have been replaced by randomly-assigned ids. The date of each rating and the title and year of release for each movie are provided. No other customer or movie information is provided. No other data were employed to compute Cinematch’s accuracy values used in this Contest. ( Internet Archive ) On September 21, 2009, the grand prize of US$1,000,000 was given to the BellKor’s Pragmatic Chaos team which bested Netflix’s own algorithm for predicting ratings by 10.06%. ( Wikipedia ) We’ll look at a tiny subset of the data set. The data set contains three interrelated tables of data:

User information Movie information Recommendations Questions 1. Why is a movie recommendation system worth a million dollars to Netflix?Keeps customers interested in the site and keeps the company relevant. Filters disliked content per customer. 2. What scale is being used for recommendations? How many stars? Stars, 1-5 stars are used as the scale 3. What information is kept track of for each movie? It’s genre , the url, release date and time 4. Can a person rate more than one movie? Yes 5. What information is being captured from customers? Movie preference, and ratings, Gender, Age and postal code 6. What additional movie data would be useful to include to create a better recommender system? Amount of times genre picked by user, directors in movie, common actors 7. What other information would be helpful to know about customers doing the rating and why?

The genre they frequently visit, because other genres of movies with similar themes may be recommended while still keeping the favorite genre in mind. 8. Is it possible for a movie to never be rated? What effect does that have? It is possible and likely means that the movies has not been watched, this may turn people away from the movie due to a low rating. 9. How would your team go about determining which movie is the "best" movie? Taking the average of each movie in a genre to see what has the highest overall score. 10. Why would users rate movies? What is the motivation for users to rate movies? To make their individual algorithm better cater to them. 11. Who might use this data, and how? Directors, Netflix executives, other users. 12. Discuss and agree on three potential problems inherent in an online rating and recommendation system. Discuss ways to ameliorate each problem. 1.User bias = Implement algorithms to detect and mitigate biased reviews. 2. fake reviews = Require verified purchases or experiences before allowing users to submit reviews. 3. limited personalization. = Allow users to fine-tune their preferences and provide explicit feedback on recommendations. Stop here for a debrief with the whole class. Consultant, be prepared to explain your team’s answers to the instructor and the class. Quality Assurance, upload your team’s work to Canvas.

Your preview ends here

Eager to read complete document? Join bartleby learn and gain access to the full version

Access to all documents
Unlimited textbook solutions
24/7 expert homework help

Copy of POGIL 2

Related Documents