AI in Mathematics and Science Classrooms (AIMSC)
We focus on how AI tools may shape teaching and learning in science and mathematics classrooms, and on how teachers and students can use them in meaningful ways. Working closely with teachers and students, we test, discuss, and refine concrete uses of AI in real classroom settings – and we are building a research base that helps us understand both the potential and the limits of AI in education.
The network holds regular online 'radar meetings' where participants share experiences, try out tools, and discuss current developments in AI and education. We co-develop teaching and learning materials, track the rapid development of AI technology, and contribute to the public debate on AI in education.
In addition to the radar meetings, the network also supports teachers in trying out AI in their own classrooms.
The network is hosted by the Department of Science Education (IND) at the University of Copenhagen.
Kick-off meeting – 23 January 2026
The AIMSC network was officially launched with a kick-off meeting at the University of Copenhagen. The event set the frame for the network's focus and vision and presented the latest research on generative AI in science education, including a review of the international literature. Participants shared experiences and identified shared interests and challenges.
Resources:
Event description on the IND website
Litteraturreview (Tor Ole Odden)
Radar 1: Pedagogical and Socratic chatbots – 18 February 2026
The first radar meeting explored how AI chatbots can serve as pedagogical and Socratic dialogue partners in science education. Participants jointly tested a range of AI tools – including Claude, ChatGPT, Gemini, Copilot, and the Danish SkoleGPT – using a prompt inspired by a Harvard study on teaching the greenhouse effect. The experiment showed that Claude and Gemini were most effective at maintaining an inquiry-based dialogue, while other bots tended to give away answers rather than ask guiding questions.
Resources:
Radar 2: Planning teaching with AI – 28 April 2026
The second radar meeting tested AI as a tool for lesson planning. Participants contributed their own lesson descriptions from physics, chemistry, and mathematics, and then tried various AI platforms – Claude, Lesson Create, EduAid, Magic School, and Eduaide – for generating lesson plans. Claude and Lesson Create stood out as the most useful: Claude produced detailed, well-formatted plans with activities and rubrics, while Lesson Create impressed with its speed and ability to generate student-facing tasks directly in the browser. GDPR and data privacy were central topics of discussion.
Resources:
Radar 2: Planning teaching with AI – 28 April 2026
The second radar meeting tested AI as a tool for lesson planning. Participants contributed their own lesson descriptions from physics, chemistry, and mathematics, and then tried various AI platforms – Claude, Lesson Create, EduAid, Magic School, and Eduaide – for generating lesson plans. Claude and Lesson Create stood out as the most useful: Claude produced detailed, well-formatted plans with activities and rubrics, while Lesson Create impressed with its speed and ability to generate student-facing tasks directly in the browser. GDPR and data privacy were central topics of discussion.
Resources:
Radar 2: Planning teaching with AI – 28 April 2026
The second radar meeting tested AI as a tool for lesson planning. Participants contributed their own lesson descriptions from physics, chemistry, and mathematics, and then tried various AI platforms – Claude, Lesson Create, EduAid, Magic School, and Eduaide – for generating lesson plans. Claude and Lesson Create stood out as the most useful: Claude produced detailed, well-formatted plans with activities and rubrics, while Lesson Create impressed with its speed and ability to generate student-facing tasks directly in the browser. GDPR and data privacy were central topics of discussion.
Resources:
Radar 2: Planning teaching with AI – 28 April 2026
The second radar meeting tested AI as a tool for lesson planning. Participants contributed their own lesson descriptions from physics, chemistry, and mathematics, and then tried various AI platforms – Claude, Lesson Create, EduAid, Magic School, and Eduaide – for generating lesson plans. Claude and Lesson Create stood out as the most useful: Claude produced detailed, well-formatted plans with activities and rubrics, while Lesson Create impressed with its speed and ability to generate student-facing tasks directly in the browser. GDPR and data privacy were central topics of discussion.
Resources:
The first teacher workshop featured three concrete initiatives. All of them are based on the system aipla.ku.dk, and we worked with the Prompt to Chatbot structure on the page Lisbeth's Mathematics.
Transition from Lower Secondary to Upper Secondary Mathematics
This trial aims to develop a chatbot that can help students learn the mathematics required as a prerequisite for upper secondary mathematics teaching. In collaboration with Birkerød Gymnasium.
Further Development of a Chatbot to Support Clear Mathematical Reasoning
This initiative builds on an existing chatbot that helps students get better at translating symbolic language into natural language — and more broadly at using subject-specific language in mathematics. The goal is to develop a good stopping criterion so that the chatbot can recognise when a student has done well enough and is ready to move on. In collaboration with Frederiksberg Gymnasium.
Reflections Before, During and After Experiments in Natural Science Elective (NV)
Here, AI is being connected to a reflection tool developed as part of a master's thesis in the Master of Science Education (MiSU) programme. The tool contains a set of reflection questions, and the plan is to develop a chatbot that can support students in working through these reflections. In collaboration with Skt. Annæ Gymnasium.
Role Play with a Chatbot
In this trial, students will converse with a historical researcher — for example Marie Curie — about her life and work. The aim is partly to help students put the research in perspective. In collaboration with Frederiksberg Gymnasium.
If you would like to try out AI in your classroom with support from the network, please write to Jesper Bruun at jbruun@ind.ku.dk
Contact
If you want to join the network, receive updates or try the AI tools described in your teaching, please contact Jesper Bruun at jbruun@ind.ku.dk
The AIMSC-network is a part the Department of Science Education research programme for science and math education in secondary school.
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