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Learning to See: Data Observation & Visualization

These lessons foster a deep connection between observation, data collection, and creative visual representation, anchored in authentic inquiry and reflective practice. The integration of math and science supports cross-disciplinary literacy and critical thinking, while differentiation ensures accessibility for diverse learners. 

Each lesson has an objective, step by step instructions, and a rubric. 

  • Objective
  • Students define data and practice detailed observation using See–Think–Wonder
  • Students collect quantitative data and represent it visually using tally charts and simple graphs
  • Students create a personalized system of symbols using color, shape, and size to represent data
  • Students organize visual data using grids, timelines, or other layout tools to improve clarity
    Students develop a personal inquiry question, collect and visualize data, and present findings with reflections.  

  • Grades: 6 to 8, adaptable to upper elementary and high school
  • Time: 5 days (one day per lesson)
  • Author: A Shirley

Arizona Standards Engaged

English Language Arts
ELA.6.RI.1: Cite textual evidence to support analysis of informational texts.
ELA.6.SL.4: Present claims and findings clearly. 
ELA.6.W.2: Write informative/explanatory texts.

Mathematics
MA.6.SP.4: Display numerical data in plots on a number line, including dot plots and histograms. 

Science
SC.6.LS1.8: Gather, analyze, and communicate information about organisms.
SC.6.ETS1: Define criteria and constraints of a design problem.

Visual Arts
VA:Cr2.1.6a: Experiment with visual elements to communicate meaning.

Technology
ISTE 4.c: Collect data or identify relevant data sets to answer questions.
ISTE 6.a: Select appropriate platforms and tools to visualize data. 

 

lesson 1 tile for see, think, wonder activity

Lesson 1: Introduction to See-Think-Wonder

Detailed step by step instructions in lesson plan.


lesson 2 tile with magnifying glass looking at bugs and tally counting bugs

Lesson 2: Quantitative Data Collection and Visualization

lesson 1 tile for visual data language

Lesson 3: Designing a Visual Language for Data

lesson 1 tile for data page layout

Lesson 4: Structuring Visual Data — Page Layout and Design

lesson 5 tile for data presentation

Lesson 5: Independent Data Inquiry and Presentation