Data Monsters : A fun Activity Exploring Data and Graphing for F-3
Data Monsters : A fun Activity Exploring Data and Graphing for F-3
Data Monsters : A fun Activity Exploring Data and Graphing for F-3
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Description
🧠 Data Monsters Activity Pack | Differentiated K–3 | Printable A4
This engaging Data Monsters Activity Pack was inspired by a concept introduced during a professional development (PD) module on data and digital safety. It brings together curriculum-aligned content with creative, hands-on learning to make data collection meaningful and fun for Foundation to Year 3 students.
✨ What’s Included:
- Printable Data Monster body parts (A4 landscape)
. data key for customisation
- Tally chart templates
- Graphing pages for bar or pictographs
- Step-by-step teacher instructions
- Cyber safety discussion prompts
📘 Learning Outcomes:
- Represent and interpret simple data using tally marks and graphs
- Explore safe vs unsafe personal information
- Analyse classroom trends
- Develop creativity through visual representation
🛠 Differentiation:
Designed for K–3 learners, this activity can be easily scaffolded or extended to meet individual student needs. Suitable for personal, group, or whole-class use.
📎 Details:
- A4 format | Landscape orientation
- Print-and-go ready – no prep required!
- Curriculum Aligned:
- Australian Curriculum (F–3)
- Victorian Curriculum (Levels 1–3)
- Mathematics – Statistics & Probability
- Digital Technologies – Cyber Safety
Resource Details
- Curriculum alignment
- Page count26
- File types1 PDF
- Teaching method/strategy
Curriculum alignment details
This resource is intended for the following use:
Curriculum:
Australian CurriculumContent Descriptors:
AC9MFST01: Collect, sort and compare data represented by objects and images in response to given investigative questions that relate to familiar situationsFurther context or application:
In this lesson,students will create a data monster by collecting data about ourselves and displaying the data using symbols. Additionally, students in Year 1 and Year 2 will use the class group of data monsters to conduct a statistical investigation through informal exploration.Ratings & reviews
Description
🧠 Data Monsters Activity Pack | Differentiated K–3 | Printable A4
This engaging Data Monsters Activity Pack was inspired by a concept introduced during a professional development (PD) module on data and digital safety. It brings together curriculum-aligned content with creative, hands-on learning to make data collection meaningful and fun for Foundation to Year 3 students.
✨ What’s Included:
- Printable Data Monster body parts (A4 landscape)
. data key for customisation
- Tally chart templates
- Graphing pages for bar or pictographs
- Step-by-step teacher instructions
- Cyber safety discussion prompts
📘 Learning Outcomes:
- Represent and interpret simple data using tally marks and graphs
- Explore safe vs unsafe personal information
- Analyse classroom trends
- Develop creativity through visual representation
🛠 Differentiation:
Designed for K–3 learners, this activity can be easily scaffolded or extended to meet individual student needs. Suitable for personal, group, or whole-class use.
📎 Details:
- A4 format | Landscape orientation
- Print-and-go ready – no prep required!
- Curriculum Aligned:
- Australian Curriculum (F–3)
- Victorian Curriculum (Levels 1–3)
- Mathematics – Statistics & Probability
- Digital Technologies – Cyber Safety
Resource Details
- Curriculum alignment
- Page count26
- File types1 PDF
- Teaching method/strategy
Curriculum alignment details
This resource is intended for the following use:
Curriculum:
Australian CurriculumContent Descriptors:
AC9MFST01: Collect, sort and compare data represented by objects and images in response to given investigative questions that relate to familiar situationsFurther context or application:
In this lesson,students will create a data monster by collecting data about ourselves and displaying the data using symbols. Additionally, students in Year 1 and Year 2 will use the class group of data monsters to conduct a statistical investigation through informal exploration.