A good starting point to explore AI integration is open-ended project work. There is no one correct solution, and the students would generally engage in a range of tools to complete the tasks anyway. For those who are new to Generative Artificial Intelligence or AI, knowing where to start can be the biggest challenge.
A collaborative effort of 16 educators from 9 Australian universities got together to create the Project-work Artificial Intelligence Integration Framework (PAIIF), built upon CDIO. The framework provides a beginner's guide to help educators understand where and how AI integration can occur. It outlines the first steps to build confidence and get started.
Full documentation on the design and application of PAIIF is available for free download at the journal STEM Education.
While PAIIF is an engineering-focused framework, it can apply to other disciplines. The goal is to provide options for the academic community so that they can pick and choose relevant components. The following is a general guide on how to apply PAIIF.
Stage 1: PAIIF Application
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What experience do you have with AI?
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What are the learning objectives?
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Consider the AI integration opportunity - Table 2 from the journal paper
Stage 2: Practical implementation
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AI integration is about CAC co-intelligence
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Consider ethical considerations and prompting techniques
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Apply evaluative judgment
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The following video are provided as a guide to highlight possible approaches that AI can be used to support and enhance project work. As such, they are not complete solutions, but targeted at stimulating ideas and approaches. Feel free to use them to support your AI integration implementations.
Video Guides
Introductory Videos
CAC Co-intelligence
AI can have negative effects if not used correctly. The Cognitive-AI-Cognitive Co-intelligence is the optimum approach balancing risks and outcomes
Conceiving Stage Videos
Problem Analysis with AI
Utilize AI tools to help students analyze and understand the problem, including root cause analysis and problem definition
Brainstorming with AI
Use AI to generate creative project ideas and scenarios aligned with customer/project needs. Refine and synthesize with other steps to create initial project concepts and high-level designs.
Feasibility Planning with AI
Use AI to estimate project timelines and resourcing requirements and understand the team.
Competitor & Trend Analysis with AI
Use AI to perform competitor analysis, identifying the strengths and weaknesses of similar projects or products. Analyze market trends and predict future needs based on historical data.
Requirements Documentation with AI
Use AI to help document and prioritize customer requirements based on collected data
Enhanced Research with AI
Deploy AI for literature reviews, gap analysis, and identifying relevant governance, compliance, and ethical standards.
Designing Stage Videos
Design Alignment and Systems Thinking with AI
Use AI to align design with enterprise and business implications. Consider alignment with the disciplinary, multidisciplinary, and multi-objective design decisions.
Evaluate Design Options with AI
Use AI to analyze the economic and non-economic options associated with the proposed design.
Resource Allocation with AI
Use AI to analyze data to recommend the optimal allocation of physical resources required for the project, such as materials, components, fixtures, and equipment, including sustainable and ethically sourced resources.
Safety and Risk Analysis with AI
Use AI tools to incorporate safety measures and standards, consider human factors, perform risk assessments, and evaluate ethical implications.
More Videos Coming Soon
Presentation & Documentation Sub-Stage Videos
More Videos Coming Soon
Team Minutes with AI
Use AI tools to implement methodological documentation processes. This includes creating, editing, and critiquing reports and presentations.