This course is FREE with an Online Subscription

Course Description

This course explores how AI can support Visual Arts teaching in Years 7–10 by enhancing critical thinking, creativity, and ethical understanding. Teachers learn practical strategies to use AI for analysis, idea development, experimentation, research, and discussions around authorship and bias—while maintaining student agency and artistic integrity.



Audience

Years 7-10 Visual Arts Teachers


Teaching Standards

2.6.2 Proficient Level - Know the content and how to teach it - Information and Communication Technology (ICT):  Use effective teaching strategies to integrate ICT into learning and teaching programs to make selected content relevant and meaningful

4.5.2 Proficient Level - Create and maintain supportive and safe learning environments - Use ICT safely, responsibly and ethically:  Incorporate strategies to promote the safe, responsible and ethical use of ICT in learning and teaching

6.2.2 Proficient Level - Engage in Professional Learning - Engage in professional learning and improve practice:  Participate in learning to update knowledge and practice targeted to professional needs and school and/or system priorities




FREE with  Online Subscription

Course curriculum

  • 1

    Introduction

    • Welcome

    • Acknowledgement of Country

    • Learning Objectives

    • Teaching Standards

  • 2

    Module 1: AI for Visual Arts Literacy and Critical Image Analysis

    • Why AI Belongs in Visual Arts Literacy

    • Using AI to Scaffold Deeper Analytical Thinking

    • AI as a Contemporary Text in Visual Culture

    • Ethical Considerations, Authorship and Cultural Responsibility

    • Resources

    • Reflection Question
  • 3

    Module 2: AI for Concept Development and Symbolic Thinking

    • Why AI Belongs in Concept Development and Symbolic Thinking

    • Using AI to Expand Symbolic and Metaphorical Thinking

    • AI, Originality and Artistic Agency

    • Cultural Sensitivity and Symbolic Responsibility

    • Resource: AI Assisted Concept Development Workshop

    • Reflection Question
  • 4

    Module 3: AI for Technical Experimentation and Process Refinement

    • Why AI Belongs in Technical Experimentation and Refinement

    • AI as a Tool for Exploring Technical Variation

    • Specific AI Programs Suitable for Technical Exploration

    • AI for Process Troubleshooting and Refinement

    • Maintaining Artistic Agency and Preventing Over Reliance

    • Resource: AI Assisted Experimentation and Refinement Workshop

    • Reflection Question
  • 5

    Module 4: AI for Contextual Research, Art History and Cultural Analysis

    • Why AI Belongs in Contextual Research and Cultural Analysis

    • Using AI to Strengthen Inquiry and Contextual Analysis

    • AI Programs Suitable for Contextual Research

    • Deepening Cultural Analysis and Representation Critique

    • AI as a Scaffold for Comparative and Evaluative Writing

    • Safeguards, Ethics and Historical Accuracy

    • Resource: AI Assisted Contextual Inquiry Workshop

    • Reflection Question
  • 6

    Module 5: AI for Ethical Practice, Authorship and Contemporary Art Futures

    • Why AI Belongs in Conversations About Authorship and Ethics

    • Authorship and Originality in the Age of AI

    • Bias, Representation and Data Ethics

    • Copyright, Consent and Creative Industries

    • Resource: AI and Ethical Practice Contemporary Art Workshop

    • Reflection Question

    • Reference List
  • 7

    Course Feedback

    • Course Feedback

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