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• TLF-IDA003100

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.

• TLF-IDA003369

Natural language processing is growing in importance. We often converse with automatic chatbots for customer service without even knowing. We also use online translation services or mobile apps. But how do these services work? Is there artificial intelligence (AI) in them? Three projects are offered to cater for student ...

• TLF-IDA003381

This lesson sequence intentionally uses a visual based programming tool to introduce designing and validating algorithms. Those students who complete this task can move to code the result in any text based language with which they are familiar.

• TLF-IDA003394

In this lesson sequence use the ‘Odds and evens’ problem as a springboard. Students construct interactive spreadsheets designed to address particular needs. This lesson also demonstrates an approach to programming known as rapid application development (RAD).

• TLF-IDA003368

This lesson plan enables students to explore how Natural Language Processing (NLP), a subset of Artificial Intelligence (AI), is used to assess and categorise a user’s online comments. (AI is the ability of machines to mimic human capabilities in a way that we would consider 'smart'.)

• TLF-IDA003349

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 ...

• TLF-IDA003352

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.

• TLF-IDA003357

This lesson is an introduction to the way in which a computer sees. It focuses on image recognition that involves feature extraction, object detection and classification. This lesson was developed in collaboration with Dr Karsten Schulz, Digital Technologies Institute.

• TLF-IDA003392

There is also a series of units comprising learning activities, paired with assessment activities and templates that can be used to support use of the Scratch (MIT) platform. The Scratch Creative Computing Guide supports assessment activities with visual programming environments.

• TLF-IDA003400

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 ...