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Interactive Data Analysis

Maths • Year 3 • 30 • 25 students • Created with AI following Aligned with Australian Curriculum (F-10)

Maths
3Year 3
30
25 students
2 January 2026

Teaching Instructions

This is lesson 3 of 4 in the unit "Statistics in Action". Lesson Title: Interactive Data Analysis with ICT Lesson Description: Using interactive ICT tools, students will analyze their bar graphs and create digital presentations of their findings. They will learn to use software to enhance their graphs and present their data to the class, promoting digital literacy and collaborative learning.

Overview

In this 30-minute lesson, Year 3 students will analyse their bar graphs using interactive ICT tools and create digital presentations to showcase their findings. This lesson integrates the Australian Curriculum (v9) Mathematics content, focusing on statistics and digital literacy to support collaborative learning.


Curriculum Alignment

  • Australian Curriculum Code: AC9M3ST02, AC9M3ST03

  • Content Descriptions:

    • AC9M3ST02: Create and compare different graphical representations of data sets including using software where appropriate; interpret data in terms of context.
    • AC9M3ST03: Conduct guided statistical investigations involving collection, representation, and interpretation of data for categorical and discrete numerical variables with respect to questions of interest.
  • General Capabilities:

    • Digital Literacy: Using digital tools to create and present data.
    • Critical and Creative Thinking: Interpreting data and drawing conclusions.
    • Personal and Social Capability: Collaborative work and presentations.

Learning Objectives

By the end of this lesson, students will be able to:

  1. Use ICT tools (such as spreadsheet or graphing software) to enhance their bar graphs derived from previous lessons (AC9M3ST02).
  2. Interpret the data displayed in their graphs and explain key findings relevant to their statistical question of interest (AC9M3ST03).
  3. Create a simple digital presentation to communicate their data and interpretations clearly to peers.
  4. Collaborate effectively with classmates to share insights and provide feedback.

Success Criteria

Students will demonstrate success when they:

  • Efficiently log into and navigate the chosen ICT tool to input or upload their data.
  • Modify bar graphs using software features (e.g., colours, titles, labels) to improve clarity and presentation.
  • Clearly identify and verbally explain one or more trends or findings from their graph.
  • Produce a digital slideshow or poster summarising their investigation and results.
  • Participate constructively in group discussion during presentations.

Resources

  • Classroom computers/tablets with internet access and pre-installed graphing or presentation software (e.g., Microsoft Excel, Google Sheets, or equivalent).
  • Sample data sets from previous lessons’ bar graphs.
  • Projector/interactive whiteboard for teacher demonstration.
  • Headphones (optional) for individual work.
  • Printed checklist of success criteria for self-assessment.

Lesson Breakdown (30 Minutes)

1. Introduction & Recap (5 minutes)

  • Briefly review previous lessons: how students collected data and created bar graphs manually or digitally.
  • Introduce the ICT tool(s) to be used for improving their graphs and presentations.
  • Display a model example enhanced via ICT (optimising colours, labels, titles, etc.)

Teacher Note: Use a live demonstration on the projector/interactive whiteboard showing simple editing of a bar graph.


2. Hands-on ICT Graph Enhancement (12 minutes)

  • Students will access their existing data sets from previous lessons (either typed or scanned).
  • Guided by the teacher, students open the graphing software, input or upload data, and create bar graphs or improve existing ones by:
    • Adding axis labels and titles
    • Colouring bars for visual appeal
    • Adjusting scales for clarity
  • Teacher circulates, providing support and encouraging students to check their work against the success criteria.

3. Creating Digital Presentations (8 minutes)

  • Students use simple presentation software to create a 2-3 slide digital presentation including:
    • One slide of their improved bar graph
    • One slide explaining what the graph shows (trend or key insight)
    • Optional slide with a fun fact or question to engage their audience
  • Teacher models an example and provides sentence starters for explanations (e.g., “This graph shows…”, “The most popular … was…”, “We can see that…”).

4. Sharing & Reflection (5 minutes)

  • Select a few students to share their digital presentations with the class.
  • Encourage peer feedback focusing on clarity and findings.
  • Brief class discussion on what they found easy or challenging when using ICT.
  • Students self-assess against the success criteria checklist.

Extension Activities for Advanced Learners

  • Data Exploration: Challenge advanced students to use chart functions to create comparative bar graphs (e.g., comparing two data sets side-by-side).
  • Interactive Features: Encourage use of interactive elements within their digital presentation such as hyperlinks, animations, or embedded videos relevant to their data topic.
  • In-depth Analysis: Students can explore summary statistics briefly (e.g., the mode or most frequent category) to deepen understanding of data sets.
  • Peer Tutoring: Advanced learners can assist peers who need extra help using the ICT tools, building leadership and collaboration skills.

Assessment

Formative assessment will be based on observations during ICT activities and presentations, focusing on students’ ability to:

  • Accurately input and manipulate data using digital tools.
  • Enhance bar graphs effectively with appropriate labels and colours.
  • Clearly explain data outcomes in their presentations.
  • Collaborate and communicate ideas succinctly to the class.

Teacher Reflection Notes

  • Reflect on how well students adapted to the ICT tools and engaged with digital presentation.
  • Note any technical issues that slowed learning for potential troubleshooting.
  • Consider integration of artificial intelligence or generative tools to assist data interpretation in future lessons, following curriculum elaborations on digital tools in data contexts .

This lesson empowers Year 3 students to confidently use digital technologies to deepen their understanding of data and statistics, aligning directly with the Australian Curriculum (v9) expectations and developing essential 21st-century skills.

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