Data Representation

Topic: Data Representation

Objectives:

1. Students will be able to explain different methods of data representation in computers.

2. Students will be able to create a visual representation of data using a computer software program.

National standards:

• International Society for Technology in Education (ISTE) Standard 5: Computational Thinker
• Common Core State Standards for Mathematics: High School - Statistics & Probability

Materials:

• Computers with internet access
• Graphing software program (such as Excel or Google Sheets)
• Paper and pencils

Warm-up:

Ask students the following thought-provoking open-ended question: "Why is it important to represent data in a visual format? How can visual representations help us better understand data?"

Direct Instruction:

Begin by explaining the different methods of data representation, such as charts, graphs, histograms, and pie charts. Discuss the pros and cons of each method and when it is most appropriate to use each one.

Guided Practice:

Divide the students into small groups. Assign each group a set of data to represent visually using the graphing software program. Have them choose the most appropriate type of graph for their data and create a visually appealing representation.

Independent Practice:

For independent practice, have each student choose a real-world data set that interests them and create a visual representation using the graphing software program. Encourage them to be creative and think outside the box when representing their data.

Closure:

To wrap up the lesson, have each student present their visual data representation to the class. After each presentation, ask the class to analyze the data and draw conclusions based on the visual representation.

Assessment:

Assess student understanding through their presentations and the conclusions they draw from their data representation. Additionally, have students write a reflection on how data representation can help us better understand complex information.

Differentiation for students with special needs:

• Provide additional support to students who may struggle with the technology aspect of the lesson by pairing them with a peer mentor.
• Offer alternative ways for students to present their data, such as verbally or through a written report.
• Modify the complexity of the data sets for students who may need simpler examples to work with.