Section 7.11

Learning Goals

• Students will identify the type of data an innovation collects.

• Students will summarize how the data is collected and transformed by an innovation.

• Students will explain data security concerns, privacy concerns or storage concerns with an innovation.

• DAT-2.C.6: The size of a data set affects the amount of information that can be extracted from it. 

• DAT-2.C.7: Large data sets are difficult to process using a single computer and may require parallel systems. 

• DAT-2.C.8: Scalability of systems is an important consideration when working with data sets, as the computational capacity of a system affects how data sets can be processed and stored. 

• DAT-2.D.1: Programs can be used to process data to acquire information. 

• DAT-2.D.6: Some processes that can be used to extract or modify information from data include the following:

  • filtering a data set, such as keeping only the positive numbers from a list, or keeping only students who signed up for band from a record of all the students

• IOC-1.E.1: Widespread access to information and public data facilitates the identification of problems, development of solutions, and dissemination of results. 

Objectives and General Description

Students learn the five steps of the Data Analysis Process.

Students learn how big data, open data, and crowdsourcing can be used in interesting ways.  

Students are required to analyze data consumption and data concerns with innovations as part of the APCSP course.  This section provides a practice opportunity with self driving cars and then asks the students to analyze the same items with their selected innovation.

Activity

Activity 7.11.1 (1 hour 25 minutes)

1.  Watch this video, "A Beginners Guide to the Data Analysis Process" by Career Foundry.

2. Divide the class into three groups.  It can be any three groups, it does not have to be their ARC groups.  The groups will research a topic about data.  Use this worksheet "Big, Open, and Crowdsourced Data" and have the students take notes.

   • If you need to make the groups smaller, you can divide the class into six groups or add a few more topics for the students to research.

3. Have students use a Web 2.0 tool and create a presentation that teaches the rest of the class about their topic and what they learned.

4. Have students present their information to the class.

Activity 7.11.2 (budget 30 minutes)

Apply what they have learned to their selected innovation.  Have each team research and report on the following

1. • What type of data does your innovation collect? It may collect more than just answers to questions on a survey.  It may collect images, location data, audio files, etc.

   • How is it collected?

   • What happens to the data once it is collected?  How is the data used or transformed?  

   • What security, privacy and storage concerns do you have about the data your innovation collects?

2. Students should write up a summary that address all of these questions and add it to their team website.

Resources

• 7.11.1 "A Beginner's Guide to the Data Analysis Process by Career Foundry (student resource)

• 7.11.1 Big, Open, and Crowdsourced Data worksheet (student resource)