Risks To Personal Data Lesson Plan for 9th Grade Example Students

Topic: Risks to personal Data

Objectives & Outcomes

• Students will be able to identify the risks to personal data, and understand the measures taken to protect personal data.

Materials

• Handout with examples of risks to personal data (e.g. hacking, data leak, etc.)
• Calculator Open statistics software (e.g. R, SPSS)

Warm-up

• Ask students if they have ever heard of Big Data.
• Ask them to describe what Big Data is and how it is used.
• Encourage them to offer examples of how Big Data is used in their everyday lives (e.g. smartphones, social media, etc.)

Direct Instruction

• Introduce the concept of Big Data and explain why it is important.
• Explain the different types of Big Data (e.g. structured, unstructured, and mixed) and give examples of each.
• Discuss the risks to personal data that come with the collection and storage of Big Data.
• Provide examples of how personal data can be used without the individual's consent or knowledge.
• Explain the importance of data protection laws and how they safeguard personal data.

Guided Practice

• Divide the class into small groups and give each group a set of hypothetical data.
• Have the groups use a graphing calculator or software program to plot the data and calculate a few statistics.
• Have the groups present their findings to the class and discuss the meaning and relevance of the statistics.
• For more advanced students, give them real world examples of Big Data and have them perform the same activities as above.

Independent Practice

• Have students work on a project-based independent practice activity.
• Have students choose a real world example of Big Data and perform the same activities as in the guided practice activity.
• Have students create a poster or presentation to communicate their findings to the class.

Closure

• Review the key concepts of Big Data and the risks to personal data.
• Ask students to share their thoughts on the topic and any insights they gained from the activity.

Assessment:

• Observe students during the sorting activity and provide feedback on their understanding of the key concepts of Big Data and the risks to personal data.
• Evaluate the posters created by students as a reflection of their understanding of the topic.