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High School Grade  Project 6 weeks

"Data Detectives: Uncovering Truth in Numbers"

Naomi L
CCSS.ELA-Literacy.SL.9-10.1
D4.3.9-12
CCSS.ELA-Literacy.SL.11-12.1
Testing variables
Collecting data
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Purpose

The purpose of the "Truth in Numbers" unit is to immerse students in the real-world application of data analysis, enabling them to critically evaluate and interpret data sets to inform decision-making. Through project-based learning, students will develop essential skills in data visualization, statistical analysis, and collaborative problem-solving, while addressing ethical considerations in data use. By engaging in hands-on activities and presenting their findings to authentic audiences, students will gain deeper insights into the impact of data on societal issues and learn to communicate their conclusions effectively.

Learning goals

Students will develop the ability to critically analyze and interpret data sets, identifying variables, biases, and relationships to make informed decisions. They will learn to use modern data collection and visualization tools to create compelling narratives and presentations. Through collaborative projects, students will enhance their skills in scientific reasoning, effective communication, and ethical data usage, preparing them to present findings to diverse audiences and engage in meaningful discussions.
Standards
  • [Common Core] CCSS.ELA-Literacy.SL.9-10.1 - Initiate and participate effectively in a range of collaborative discussions (one-on-one, in groups, and teacher-led) with diverse partners on grades 9—10 topics, texts, and issues, building on others' ideas and expressing their own clearly and persuasively.
  • [National Council for the Social Studies] D4.3.9-12 - Present adaptations of arguments and explanations that feature evocative ideas and perspectives on issues and topics to reach a range of audiences and venues outside the classroom using print and oral technologies (e.g., posters, essays, letters, debates, speeches, reports, and maps) and digital technologies (e.g., Internet, social media, and digital documentary).
  • [Common Core] CCSS.ELA-Literacy.SL.11-12.1 - Initiate and participate effectively in a range of collaborative discussions (one-on-one, in groups, and teacher-led) with diverse partners on grades 11—12 topics, texts, and issues, building on others' ideas and expressing their own clearly and persuasively.
Competencies
  • Scientific Investigation - Testing variables (FL.MST.4.a)
  • Scientific Investigation - Collecting data (FL.MST.4.b)
  • Scientific Investigation - Understanding causality (FL.MST.4.d)
  • Scientific Investigation - Modeling systems (FL.MST.4.c)
  • Interpreting Data - Data tools (FL.MST.3.a)
  • Interpreting Data - Data visualization (FL.MST.3.c)
  • Interpreting Data - Data quality (FL.MST.3.b)
  • Interpreting Information - Extracting ideas (OT.Crit.1.a)
  • Interpreting Information - Relevance (OT.Crit.1.b)
  • Interpreting Information - Information management (OT.Crit.1.c)
  • Logical Thinking - Identifying bias (OT.Crit.2.b)
  • Logical Thinking - Contextualizing my perspective (OT.Crit.2.c)
  • Logical Thinking - Testing my perspective (OT.Crit.2.d)
  • Logical Thinking - Recognizing patterns (OT.Crit.2.e)
  • Logical Thinking - Language and evidence (OT.Crit.2.a)
  • Productive Collaboration - Valuing others (GC.IS.4.a)
  • Productive Collaboration - Navigating roles (GC.IS.4.b)
  • Productive Collaboration - Reflecting on our work (GC.IS.4.c)
  • Sharing Ideas - Seeking feedback (OT.Creat.2.a)
  • Sharing Ideas - Ideas for impact (OT.Creat.2.b)
  • Sharing Ideas - Ideas in context (OT.Creat.2.c)

Products

Students will create a digital storytelling project using data visualization tools to narrate the impact of social media on mental health, culminating in a virtual presentation to mental health organizations. Additionally, they will organize a 'Data-Driven Art' exhibition, using data sets to create visual art pieces reflecting societal issues, and invite community members for a gallery walk and discussion. These projects will allow students to apply their data analysis skills creatively and engage with real-world audiences.

Launch

Begin the unit with a "Data Detective Challenge" where students work in small groups to analyze a mysterious data set related to a real-world issue, such as climate change or public health. Provide them with clues and prompts to identify variables, potential biases, and the story the data might be telling. This interactive activity will engage students in critical thinking and set the stage for deeper exploration of data analysis throughout the unit.

Exhibition

Students will showcase their digital storytelling projects and 'Data-Driven Art' pieces at a community 'Data Fair' and exhibition. During the event, students will present their data visualizations and narratives to peers, teachers, and community members, engaging in discussions and receiving feedback. The exhibition will include a gallery walk, allowing attendees to explore the visual art pieces and participate in a reflection session on the societal impact and ethical considerations of the data presented.