Search results

• TLF-IDA003421

In this lesson, students act like the inventor of an everyday object that does not yet exist. Students abstract the essential details, and describe what need would be fulfilled by the new object and how, specifically, it functions. They will then translate the description into a format appropriate for modeling the object ...

• TLF-IDA003428

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.

• 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-IDA003340

This is the tenth 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 the coding concept of functions. Functions can help organise code, reduce repetition and more to be explored later.

• TLF-IDA003470

Collect data on the biodiversity in garden beds around your school to measure the biodiversity (that is the different types of plants and animals). Explore ways to represent and present data. This lesson was devised by Linda McIver, Australian Data Science Education Institute.

• TLF-IDA003345

This is the fourth 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 the combining of logical operators and and or for more complex decisions.

• TLF-IDA003480

Order images to show a sequence of personal events or milestones such as birth, first tooth, beginning to crawl.

• 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-IDA003366

Artificial intelligence can sometimes be biased to certain shapes or colours. When such AI systems are applied to situations that involve people, then this bias can manifest itself as bias against skin colour or gender. This lesson explores bias in AI, where it comes from and what can be done to prevent it.