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• TLF-IDA002185

This PDF comprises four worksheets that allow students to observe, investigate, manipulate and program simple line-following robots (Ozobots), engaging in the computational thinking process while working with data.

• TLF-IDA002197

This PDF presents content descriptions and achievement standards for the Digital Technologies subject in the Australian Curriculum

• TLF-IDA002247

This article explores the types of systems in our world, their characteristics and how our behaviour can initiate and respond to changes in their performance. The author differentiates between systems thinking and a system and elaborates on those factors that contribute to systemic behaviour.

• TLF-IDA002394

The Digital systems presentation materials to support the assessment task provides a scaffold to teach about and assess students’ understanding of how digital systems can be used to collect data about the school environment. Students are guided to use digital systems such as photo apps on digital devices and online maps ...

• TLF-IDA002163

This set of printable cards provides definitions of six aspects of computational thinking.

• TLF-IDA003387

This lesson sequence is a cross-age project that can be used for students in year 5/6 in collaboration with students from years 1-2. In this project, students collaborate on a code for an unplugged robot. They design, test and modify the robot and create instruction manuals.

• TLF-IDA003408

Students are introduced to Ozobot and how drawing lines and colour codes can control it. This lesson allows students to experiment with different lines and codes to create a path for Ozobot to follow. This lesson idea was created by Steven Payne.

• TLF-IDA003452

Explore the concept of sequencing steps, using Bee-Bots to measure length.

• TLF-IDA002154

This infographic provides an overview overview of the concepts related to computational thinking.

• TLF-IDA002244

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.