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Course Description

This course explores how AI can enhance Science teaching in Years 7–10. Teachers will learn how to use AI tools to support student inquiry, generate scientific writing, visualise complex concepts, differentiate tasks, and encourage ethical thinking. Through practical examples and classroom-ready strategies, the course shows how AI can deepen engagement and support meaningful learning across Science topics.



Audience

Year 7-10 Science 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 – Using AI for Scientific Inquiry and Data Analysis

    • Introduction

    • AI as an Inquiry Partner: Supporting Questioning and Hypothesis Formation

    • AI for Structuring Data Tables and Planning Investigations

    • AI-Assisted Data Interpretation: Helping Students Identify Patterns

    • Guided Evaluation: Teaching Students to Critique AI Scientifically

    • Teacher Resource: AI-Assisted Practical Investigation Planning

    • Reflection Questions
  • 3

    Module 2 – Modelling, Simulation, and Visualising Science Concepts

    • Introduction

    • AI as a Tool for Visualising Abstract Scientific Processes

    • AI for Conceptual Simulations

    • AI Analogy and Misconception Repair

    • Classroom Task Example – Comparing AI Simulations to Verified Sources

    • Teacher Resource – AI Visualisation Comparison Task

    • Ethical Note: AI Visuals Are Models — Not Measurements

    • Reflection Question
  • 4

    Module 3 – Scientific Writing and Literacy with AI

    • Introduction

    • AI as a Model for Scientific Writing

    • Teaching Students to Critique AI Writing

    • AI-Supported Scientific Report Writing

    • SciSpace – AI Support for Reading Scientific Articles

    • Teacher Resource – AI Model Paragraph Annotation

    • Ethical Note: AI Supports, Students Write

    • Reflection Question
  • 5

    Module 4 – Differentiation and STEM Problem Solving with AI

    • Introduction

    • AI for Tiered Explanations of Complex Scientific Concepts

    • AI Support for EAL/D and Low-Literacy Learners

    • AI for Extension and Enrichment in STEM

    • AI as a Model for Scientific and Mathematical Problem Solving

    • Classroom Task Example – AI-Generated Tiered Questions and Problem Ladders

    • Teacher Resource – Designing a Differentiated Sequence Using AI

    • Ethical Note – Rigour, Integrity, and Scientific Accuracy

    • Reflection Question
  • 6

    Module 5 – AI, Ethics, and Future-Focused Science Education

    • Introduction

    • Understanding AI as a Scientific Tool

    • Ethical Considerations in Scientific Use of AI

    • Teaching AI Evaluation Skills: Scientific Skepticism in Action

    • AI in Societal and Global Scientific Challenges

    • Perplexity AI – Answering Science Questions with Cited Sources

    • Teacher Resource – Ethical AI Case Study Investigation

    • Teacher Activity – Developing an AI Action Plan for Science

    • Ethical Note – AI Cannot Replace Scientific Inquiry

    • Reflection Question

    • References List
  • 7

    Course Feedback

    • Course Feedback

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