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Expert webinar video: Andrew Harris - Lead Teacher, Agricultural Education, Hagley Farm Primary School

Andrew Harris from the Hagley Farm School in Tasmania shares ways in which the school is teaching Digital Technologies and its meaningful use in agriculture . For example, Andrew provides examples of ways students learn about digital systems and data collection.

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Curzon & Bell et al. review: Computational thinking

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.

Video

Expert webinar video: Nathan Alison, Digital Learning and Teaching Victoria (DLTV): Focus on systems thinking. How do we teach it well?

Nathan Alison from Digital Learning and Teaching Victoria (DLTV) explains what systems thinking is and how it is used in the context of Digital Technologies. Nathan explains what we need to consider when teaching digital systems, covering topics such as networks, hardware and software protocols, people and processes.

Video

Expert webinar video: In conversation with Paul Mead from She Maps: A wide-ranging discussion from women in Technology and unconscious bias to digital systems and the ethical and safety considerations of using drone technologies

Paul Mead, from STEM education provider She Maps, discusses unconscious bias in young students and how She Maps is spreading the word about women who work with technologies in the field. He discusses digital systems and explains how geospatial systems and geographical information systems are used to collect, analyse and ...

Video

Expert webinar video: Dr Michelle Ellis: Learning resources for using micro:bits

Dr Michelle Ellis gives a demonstration of the Edith Cowan University Makerspace visual and general-purpose programming environment. She also shows a range of materials to support the implementation of the Australian Curriculum: Digital Technologies. This includes teaching resources and lesson plans.

Online

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 ...

Online

Pencil code program: Lady MacBeth Chat Bot

Use this program to create an interactive chat bot who answers questions as if she is Lady Macbeth. Have students analyze, fill in or change parts of, or use the program to create their own variation and rendition of a character. This program could be used to further your understanding of how you could use Pencil Code in ...

Video

Computational thinking in the Australian Curriculum: Digital Technologies

This video provides an overview of computational thinking and how it can be taught in the context of other learning areas.

Online

Coding a sentimental chatbot in Python

Incorporating 11 tutorial videos and two informative lecture videos, this learning sequence explores natural language processing, a significant application of artificial intelligence. Teachers and students are led through the coding in Python of a chatbot, a conversational program capable of responding in varied ways to ...

Assessment

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Video

Activities that promote Digital Technologies concepts and incorporate Numeracy: part 1: Introduction and overview: accessing the Australian Curriculum National Numeracy Learning progression

This video provides an introduction to the ways in which Digital Technologies can be used to develop students' learning in the Numeracy Learning Progression.

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Kim review: Systems thinking

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.

Video

Expert webinar video: Russell Scott - Vortals: Augmented reality, virtual reality, 2D, 3D and game design lessons

Russell Scott, Co-Founder of multimedia design company Vortals, demonstrates some of the ways he teaches students about augmented reality, virtual reality, 2D, 3D and game design.

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Voskoglou & Buckley review: Problem solving and computational thinking

This article explores the relationship between computational and critical thinking as it applies to solving technological problems. Research evidence derived from classroom experiments strongly suggests that using computers to solve problems enhances students’ abilities in solving real-world problems involving mathematical ...

Video

Expert webinar video: Professor Tim Bell – Computational thinking

In this video, Professor Tim Bell discusses helpful ways of understanding and teaching computational thinking, a key idea of the Australian Curriculum: Technologies.

Downloadable

PyGame in a Day

As a general purpose programming language, python has a number of libraries that can be used for different purposes. PyGame is a free and open source python library that makes it easier to make multimedia applications like games.

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Australian Curriculum: Digital Technologies: years 7-8

This PDF provides a line of sight from content descriptions to achievement standards in the Digital Technologies subject in the Australian Curriculum.

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Tutorial: Python

This tutorial provides detailed instructions to support the learning of Python, a general purpose programming language. The tutorial is designed for educators who are learning to use Python.

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Data knowledge and skills tutorial: part 4 - analysing and visualising data

This video demonstrates ways in which data can be analysed and visualised. It is the final in a series of four.

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Classroom ideas: Micro:bit environmental measurement (visual and general-purpose programming): years 5-8

This tutorial shows ways in which environmental factors such as lighting and temperature can be measured and improved using micro:bits and sensor boards, and programmed using pseudocode, visual programming and general-purpose programming.