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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-IDA002241

This PowerPoint explains the benefits and techniques of literature reviews.

• TLF-IDA002345

This document presents the milestones in St James Catholic College's participation in the Digital Technologies in Focus project.

• TLF-IDA002283

This PDF is an extensive report on the success of the Digital Technologies in Focus (DTiF) project, with a focus on curriculum and pedagogy and learning outcomes. The evaluation gathered qualitative data to create rich case study accounts of six schools' engagement in the project and its impacts and outcomes.

• TLF-IDA002172

This resource provides strategies for assessing students' ability to interpret, process, analyse and represent data using spreadsheets, pivot tables, plotting data and scripting activities. A link to a data set from a koala hospital provides extensive data for students to use. The resource includes maps, graphs and charts, ...

• TLF-IDA002242

This article explores the benefits of an interdisciplinary STEM program in the quest for providing students with a holistic approach to problem-solving that reflects real-world practice. This is supported by a conceptual framework that comprises four constructs: systems thinking, situation learning theory, constructivism ...

• TLF-IDA002306

This newsletter from the Digital Technologies in Focus project includes information about schools' projects, visual programming, the Australian Curriculum, and useful resources.

• TLF-IDA002344

This document illustrates the network of people and resources that make up St James Catholic College's Professional Learning ecosystem.

• 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-IDA003383

In this lesson sequence students learn to code separate modules that perform discrete functions but collectively meet the needs of the solution. They select the most appropriate algorithm based on the type of problem.