Science & AIField guide for educators

A field guide for thoughtful teaching

Start with the learning.
Decide where AI helps.

Plan thoughtful uses of AI in science education. Connect learning goals with inquiry, prior ideas and appropriate support, then check the science and keep student reasoning visible.

Explore the framework Design an AI-supported lesson Browse teacher resources

For science educators, teacher educators and pre-service teachers.

A learning-first approach
01◎Learning goalWhat should learners be able to do?↘
02?Meaningful inquiryWhat will they investigate or explain?↘
03⌁Evidence & reasoningWhat thinking needs to stay visible?↘
04↗Teacher judgmentIs AI useful here? What needs checking?✓
PROPOSED DESIGN LENS01 — 04
Learning
comes first.

Not another tool directory. A practical space to decide what is worth doing, what to verify and which parts of learning should remain human work.

How the framework works

Three ideas to design with

Make the teaching decision visible.

The thesis brings together learning perspectives that keep this resource centred on what students think and do, rather than on a tool's novelty.

01↗

Inquiry-based learning

Ask questions. Investigate phenomena. Examine evidence. Build explanations rather than simply receiving them.

Explore the idea
02◉

Constructivism

Surface prior ideas and make space to connect new information to what learners already think.

Explore the idea
03⊹

Zone of Proximal Development

Offer support a learner can use, then gradually reduce it as independent understanding grows.

Explore the idea

Choose your next step

Practical ideas.
Professional judgment.

A / 01AI in science educationTeaching possibilities, professional judgment and responsible use.↗ A / 02Design a lessonTurn an objective into a practical plan you can take with you.↗ A / 03Browse teacher resourcesMaterials by type, with educator preparation prompts available now.↗

This guide adapts ideas from Konstantinos Kalodimos's thesis, Artificial Intelligence in Science Education. The activities are proposed design examples, not reported study results.

About the evidence