What AI and machine learning allows you to do is find the needle in the haystack.
— Robert O. Work

Summary

In this design challenge, students will work in teams to design and prototype an AI-based solution that addresses a real-world problem and promotes ethical use of AI. The challenge will involve several stages, including problem identification, research, ideation, prototyping, and testing.

Requirements:

  1. Ideate possible real-world problems that can be addressed through the use of AI

  2. Conduct research to understand the problem and potential solutions

  3. Clarify the real world problem in the form of a How Might We statement

  4. Develop a design brief that includes the problem statement, research findings, and proposed solution

  5. Create a pitch presentation that summarises the problem, proposed solution and promotes ethical use of AI

  6. Review how content has been shared online in their team, how they have planned and managed their project

Achievement Standards:

  • Students have acquired data from a range of reliable sources and evaluated the authenticity and accuracy of the data. (1) (2)

  • Student have defined and decomposed real-world problems with design criteria and by creating user stories. (3) (4)

  • Students have selected and used a range of AI tools efficiently and responsibly to share content online, and plan and manage individual and collaborative agile projects. (5) (6)

Materials:

Assessment:

  • The design brief

  • Pitch presentation

  • Review

Scroll down to see an example of a Year 7 students’ work for this project at Scotch College, Adelaide.

Possible adaptions & variations

This project could be modified to suit a particular area of technology advancement and undertaken alongside other disciplines such as HASS, Science or Design & Technologies. It could also be extended in many ways for example involving making:

  • Create a physical prototype using a micro-controller (eg Arduino)

  • Program a digital prototype (eg App)

The project could be modified to include data collection and testing as part of the Digital Technologies curriculum. It could also be easily used with Year 8, 9 and 10 and in younger years.

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