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Project Quantum: Online assessment system

Project Quantum helps computing teachers check their students’ understanding, and support their progress, by providing free access to an online multiple-choice assessment system and question bank. To use Project Quantum, you will need to create a free account.

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Book analysis with AI techniques

This learning sequence explores text analysis through Natural Language Processing, a significant application of Artificial Intelligence. Teachers and students are led through a series of video tutorials to develop a Python program that can break down and analyse the content of a complete text and use smart sentiment analysis ...

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Visual to text coding: Lesson 12

This is the final in a series of lessons to transition from visual coding to text-based coding with a General Purpose Programming language. See next steps for suggested courses and learning sequences after this lesson. It builds on the coding concept of functions (by introducing the concept of return values. Functions are ...

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Visual to text coding: Lesson 11

This is the eleventh in a series of lessons to transition from visual coding to text-based coding with a General Purpose Programming language. It builds on the coding concept of functions. With the addition of parameters, functions allow the programmer to adapt their reusable code’s behaviour, tapping into the Computational ...

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Visual to text coding: Lesson 6

This is the sixth 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 builds on the previous introduction to arrays (also called lists) and brings in the length property.

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Visual to text coding: Lesson 5

This is the fifth 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 create and use arrays (also called lists).

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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.

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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 ...

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Systems Thinking and AI applications

This lesson takes a systems thinking approach to understanding the place of artificial intelligence (AI) as a component within solutions to real world problems, such as predicting bushfire hotspots, spotting and monitoring animals in the wild, automated horticulture and agriculture, and early detection of medical issues.

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Visual to text coding: Index page

This lesson sequence provides a bridge between visual coding (eg. Scratch) and General Purpose Programming languages (eg. Python or JavaScript). This resource is most suitable if you have never done General Purpose Programming and/or you benefit from slow-paced, step-by-step video tutorials.

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Introduction to binary - catering for vision impaired students

This sequence of lessons focuses on what a binary number is, what a decimal number is, why binary numbers are important in digital systems and how to read and understand a binary number.

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Fibonacci served three ways

In this lesson sequence students learn to code separate modules that perform discrete functions but collectively meet the needs of the solution. They select the most appropriate algorithm based on the type of problem.

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Seven seasons

In this lesson sequence students investigate the CSIRO indigenous seasons calendars and produce a searchable database that will capture data using two data sources.

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When I post something online how permanent is it?

Students engage in a photo rip up activity to emphasize the permanency of online information, they explore factor trees, doubling and line graphs through the lens of sharing information, and they collaboratively develop a set of protocols around sharing information online.

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AI and image recognition

This lesson builds on How can an AI recognise what is sees? It focuses on image recognition that involves feature extraction, object detection and classification, and introduces the idea that computers store and use data using 0s and 1s.

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User interface design: Controllers for all

In this lesson, students design and implement a new user-interface that allows a user to interact with a digital program. This lesson idea was created by Rebecca Vivian.

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Sphero: Catch me if you can

By years 5 and 6 many students may have had some experience with a visual programming language such as Scratch or Blockly that is the basis of the Hour of Code. Sphero will take the screen based control of an image to the next level by introducing a robotic device controlled by a visual programming language. This lesson ...

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Who wants to be a millionaire?

This lesson sequence uses the well-known wheat/rice and chessboard problem as students use spreadsheets to simulate iteration and to solve problems.

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COVID 19 Demystified course

At the end of this course, learners should be able to better understand the science and numbers behindCOVID-19 and the SARS-CoV-2 virus that causes it. They should be able to discuss the pandemic with confidence, giving substantiated viewpoints on matters such as public policy with a willingness to accept other viewpoints. ...

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Learning environments

This sequence of lessons explores how conditions in the environment can impact on learning. Through investigating the environmental influences on our classroom, and learning environments such as light, noise and temperature, students collect data and identify the optimal learning environment.