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Investigating the soil food web

Soil is much more than just dirt. In this activity, learners will be conducting an investigation to see which animals and other organisms are recycling nutrients in the garden. These organisms make up the soil food web, which includes microscopic bacteria, fungi, minute creatures such as springtails, worms, pill-bugs and ...

Online

Visual to text coding: Lesson 2

This is the second in a series of lessons to transition from visual coding to text-based coding with a general-purpose programming language. This lesson may take two to three 45-minute periods. It introduces how to make decisions (branching) and identify data types.

Online

Visual to text coding: Lesson 9

This is the ninth in a series of lessons to transition from visual coding to text-based coding with a General Purpose Programming language. This lesson may take two to three 45-minute periods. It explores creating powerful programs for managing and analysing data, by combining the previous skills of using loops and working ...

Online

Visual to text coding: Setting Up

This series of lessons is to help students to transition from visual coding to text-based coding with a general-purpose programming language. This section provides guidance on how to set-up the particular programming environment including Scratch, Python and JavaScript.

Online

Collect, sort and compare data: Year 8 – planning tool

This planning resource for Year 8 is for the topic of Collect, sort and compare data. Students examine different techniques for collecting types of data and begin to consider the challenges of collecting representative data by sampling a population.

Assessment

Network infographic

Throughout the lesson sequence, students keep and maintain a reflection log with key content to inform the development of an infographic.

Online

Analysis of AI applications, drawing on ethical understandings

This lesson plan explores the ethical aspects of artificial intelligence and the implications on our future lives. This lesson was developed by the Digital Technologies Institute in collaboration with the DT Hub.

Online

Home automation: General purpose programming

Investigate home automation systems, including those powered by artificial intelligence (AI) with speech recognition capability. These suggested activities for year levels 7-8 are designed for students using general purpose programming languages JavaScript and Python, with similar content to the visual coding lesson Home ...

Online

Recognising AI

Use the tasks in this lesson to introduce concepts that underpin artificial intelligence (AI). The majority of the tasks are unplugged (do not require a digital device). Use the downloadable AI cards with your students to explore what they know about AI.

Online

Hot Bots

For this project, students are introduced to the Arduino microcontroller and Arduino integrated development environment for programming a switch on an air conditioner. This lesson was designed by Cindy Thornton, Flinders Island District High School, Tasmania.

Online

Morse code network

This lesson sequence is a hands-on approach to the learning about digital systems for years 7–8.

Text

Stomp Rocket Design Challenge

This resource provides a scaffold for students to complete a design challenge. The design challenge requires students to create a stomp rocket that can travel to a chosen planet in the solar system. The design challenge can also be used to investigate forces and energy. It can be delivered over a number of lessons, or it ...

Video

Connecting Digital Technologies to food and fibre - Smart gardens 1

This video explores ways in which students can develop and apply their Digital Technologies knowledge, understanding and skills to create a digital solution through the Curriculum connection of food and fibre. The video is designed for educators who would like to learn how to use a BBC micro:bit to manage the water requirements ...

Text

Micro:bit missions: Take a chance on me (Integrating Mathematics): years 6-8

This resource comprises two activities that allow students to explore the concept of chance in Mathematics. Students use computational thinking while using a micro:bit as a digital system to generate and collect data. Students implement programs involving branching and iteration in visual and general-purpose programming languages.

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Digital Technologies in the Australian Curriculum: overview and key links

This PDF gives an overview of the Australian Curriculum: Digital Technologies. It includes key points from the rationale and a step-by-step process for becoming familiar with the structure of the curriculum to assist planning. The document also provides links to key documents and sections of the Australian Curriculum as ...

Text

Scratch 2.0 tutorial

This tutorial provides step-by-step instructions to support the learning of Scratch, a visual programming language. The tutorial is designed for educators who would like to learn how to use Scratch.

Text

Literacy learning progression and Digital Technologies

This PDF illustrates how the National Literacy Learning Progression can be used with Digital Technologies to support student progress in literacy.

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Curzon & Bell et al. review: Computational thinking

This article explores the concept of computational thinking within computer science learning and in relation to other learning areas. The authors assert that because of its focus on analysis, computational thinking is not only suitable for computation but also the development of systems-based on computation.

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Voskoglou & Buckley review: Problem solving and computational thinking

This article explores the relationship between computational and critical thinking as it applies to solving technological problems. Research evidence derived from classroom experiments strongly suggests that using computers to solve problems enhances students’ abilities in solving real-world problems involving mathematical ...

Video

Expert Webinar video: Professor Stephen Heppel: The impact of environmental factors on learning

In this video Professor Stephen Heppell, discusses the aggregation of marginal gains in learning environments. He provides examples from the Learnometer project, designed to help students monitor their classroom environment for factors that may hinder learning.