Module 2A
Working with data
Goals of this module
Locate where data collection, analysis and visualisation fit within the Australian and Victorian curricula for Digital Technologies F-10.
Explore the many options available for students to:
collect / acquire data
manipulate and analyse data
produce visualisations and present information
2. Collecting data
Watch the video below.
Links relevant to the video:
Australian and Victorian curricula for Digital Technologies
Popular online data repositories:
Reflection
Consider which of the following data sources are you least experienced with: paper tallies and notes, paper surveys, online surveys, images and audio, sensors, online repositories.
Where might you start utilising it in your classroom?
3. Spreadsheet skills
The video at right gives the rationale and details for this activity.
Then choose one of the activity options below. (Click to expand.)
Beginner
(new to spreadsheets)
(new to spreadsheets)
We recommend completing a group of 3 tutorials at GCFLearnFree.org, as linked below. You can choose to continue beyond these initial tutorials in your own time.
Microsoft Excel:
Google sheets:
Advanced
(familiar with spreadsheets)
(familiar with spreadsheets)
Many teachers and students stop after learning to do data entry - loading or typing data into a spreadsheet. But the real power of spreadsheets comes with using formulas.
We recommend completing a group of 3 or 4 tutorials at GCFLearnFree.org, as linked below. You can choose to continue beyond these initial tutorials in your own time.
Microsoft Excel:
Google sheets:
AI
(let me do something else!)
(let me do something else!)
Try out Google Teachable Machine using your own webcam, microphone or photos. The homepage linked below contains tutorial videos if you are having trouble getting started.
Google Teachable Machine is an online tool for training and observing a machine learning AI system. You can train it to recognise objects in images, poses and sounds.
(For more advanced users, the trained model can even be put to use to make decisions within conventional code. See this lesson at Digital Technologies Hub.)
CAUTION
Student privacy should be considered when using this tool with your class. Rather than photos of student faces, consider using hand gestures, semaphore, toys or emojis.
4. Other ways to analyse data
View the video below.
Links relevant to the video:
Datasets and lesson plans at the Australian Data Science Education Institute.
Additional learning sequences and resources hosted at FUSE Victoria.
Home energy use lesson hosted at Digital Technologies Hub.
Reflection
Linda McIvor touches on the importance of context and how different stories can be brought out of the same data. Consider ways that you and/or your school can build students' Critical and Creative Thinking while they engage in data analysis work within Digital Technologies and other learning areas.
It might help to review the content descriptions for the Critical and Creative Thinking capability in the Australian or Victorian curricula.
5. Exploring modern presentation modes
Choose one of the two options below (click to expand the task underneath).
Infographics (left) are relevant across most year levels, while Dynamic Data Visualisations (right) are most relevant in Secondary years.
image CC-BY Bruce Clay, Inc (Flickr)
Infographics
An infographic presents visual information quickly and clearly, often with an emphasis on elegant or beautiful design.
Task
Read this article introducing infographics for classroom teachers.
What makes an infographic different from a single chart or paragraph of text?
Consider what software is available to your students to build infographics. Popular options include:
Microsoft PowerPoint
Canva (online tool)
Dynamic data visualisations
Dynamic data visualisations are interactive and/or utilise live data.
Examples:
This bubble chart at Google public data incorporates an additional "axis" of information (time) via a scroll bar and play button.
This bar chart at Our World In Data allows the user to select which countries to display.
Task
Explore one of the three tools below.
Students can create interactive tables and charts within Microsoft Excel using Pivot Tables, as explained in this video.
Online tools like Google Data Studio allow rapid creation of dynamic charts. This tutorial introduces Google Data Studio.
For Upper Secondary students, your school may wish to consider a full analytics tool like Tableau of Power BI. This DLTV webinar introduces these two tools for a teacher audience.
7. Further resources
Relevant units at the Digital Technologies Hub (each contains multiple lesson ideas):
Data is all around us (F-2)
Data and information (5-6)
Data and information (7-8)
Data-driven innovation and Organise, visualise and analyse (9-10)
STEM Data Science resources at the Digital Technologies Hub
Data related lessons and tutorials at the Digital Technologies in Focus project (ACARA)
(Note, scroll down at the above links to find items related to Data Collection and Interpretation)
All done!
Don't forget to note down any thoughts or questions for the live component of the workshop.
Click home to access another module.