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• TLF-IDA003440

This lesson focuses on the AI systems that recommend content in various applications that students use on a day-to-day basis. It draws on students’ ethical understandings during analysis of these systems. This lesson was developed by the Digital Technologies Institute in collaboration with the Digital Technologies Hub.

• TLF-IDA003375

In this lesson sequence students summarise data using advanced filtering and grouping techniques, for example pivot tables in spreadsheets and aggregation functions in databases.

• TLF-IDA003418

In this lesson, students explore how to design and implement a simple Augmented Reality (AR) world to project DNA model using Unity 3D and Vuforia SDK for Unity 3D.

• TLF-IDA003416

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

• TLF-IDA003385

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

• TLF-IDA003354

This lesson introduces some of the skills and concepts involved with Systems Thinking. Students are introduced to a number of Habits of a System Thinker, positive and negative feedback loops and the concept of supra- and subsystems.

• TLF-IDA003384

In this lesson sequence students create a website that acts as a showcase for a portfolio of their digital work. They learn about flexible design and how to design a site that can be viewed on a browser using any size of screen.

• TLF-IDA003419

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. ...

• TLF-IDA003382

This lesson sequence aims to identify strengths and weaknesses of past, present and future methods of data storage and recognise the risks and benefits for users. Students explore specific “data dilemmas”.

• TLF-IDA003333

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 ...