Close message Scootle is currently experiencing a technical issue which may affect logging in for some users. Scootle resources can still be accessed via Guest login. For any questions, please contact [email protected]

Digital technologies / Year 9 and 10 / Digital Technologies Processes and Production Skills

Curriculum content descriptions

Analyse and visualise data to create information and address complex problems, and model processes, entities and their relationships using structured data (ACTDIP037)

Elaborations
  • using visualisation software tools to identify patterns and relationships between sets of data and information, and support abstract reasoning, for example representing data using histograms, network diagrams and maps
  • summarising data using advanced filtering and grouping techniques, for example pivot tables in spreadsheets and aggregation functions in databases
  • automating calculations, for example using absolute cell referencing to automatically extend formulas, and automating arithmetic calculations using built-in functions such as trigonometry, compound interest
  • simulating simple, iterative processes, for example modelling compound interest or ecological models using a spreadsheet
  • documenting the attributes of complex objects and processes using a data dictionary
  • interpreting schemas that represent relationships between entities and querying data across tables, for example using foreign keys to represent relationships and joining tables in structured query language (SQL) SELECT statements
General capabilities
  • Literacy Literacy
  • Numeracy Numeracy
  • Critical and creative thinking Critical and creative thinking
  • ICT capability Information and Communication Technology (ICT) capability
ScOT terms

Data representation,  Data analysis,  Problem solving,  Information management,  Data storage

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

Seeing the wood for the trees

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

Online

A spreadsheet's secret weapon

In this lesson sequence, students learn to use pivot tables which have been described as the most powerful tool within spreadsheets.

Online

Spreadsheets come alive

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).

Online

Data driven innovation

This is a unit for Year 9 from the Scope and sequence resources from the DT Hub. The topic of data is organised into four key elements. Use this flow of activities to plan and assess students against the relevant achievement standards. Students examine ways data from individuals and connected technologies is used to inform ...

Online

Organise, visualise and analyse

This is a unit for Year 10 from the Scope and sequence resources from the DT Hub. The topic of data is organised into four key elements. Use this flow of activities to plan and assess students against the relevant achievement standards. Students use tools to organise data and make sense of complex data to identify patterns ...

Text

Visualising climate change lesson

In this lesson, students explore different approaches to data representation, with the aim of engaging audiences with scientific data. They explore local temperature and rainfall datasets over time and represent trends in innovative ways. Students learn about different ways to visually represent climate change, looking ...

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 ...

Online

COVID 19 Demystified course

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. ...

Online

Filter bubbles, bias, rabbit holes and nudging

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.

Online

Who wants to be a millionaire?

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