Stockholm university

Research project Teachers’ movement patterns (in the classroom)

This project aims to produce a concrete and scalable example of how IoT (Internet of Things) can be used to develop teaching and learning in schools. By putting sensors on teachers, we can produce heatmaps of their classroom movements. This shows how they interact with students, and gives important feedback to their teaching. 

Heatmap of teacher's movement in classroom
Heatmap of how a teacher move in a classroom.

The project intends to develop methods and instructions for collecting and analyzing teachers’ movement data in connection with classroom teaching. The intention is to develop the teachers’ teaching skills and thereby increase goal fulfillment in schools.

Centered on the needs of the school, and in close collaboration with school staff, the IoT technology solution is further developed iteratively in a way that facilitates use, implementation and scaling up.

In parallel with this work, methods and strategies are also being developed for successful, business-oriented implementation of IoT technology in school environments.

The project is carried out in a collaboration between Stockholm University, RISE, ATEA, and a large number of education administrations and schools in Sweden.

Project members

Project managers

Robert Ramberg

Professor

Department of Computer and Systems Sciences

Patrik Hernvall

Universitetslektor

Department of Computer and Systems Sciences
patrik hernwall

Members

Örjan Johansson

Atea

Ranald McDonald

Utbildningsförvaltning Eskilstuna

Björn Broberg

Utbildningsförvaltning Falköping

Karin Sönnerås

Utbildningsförvaltning Kungsbacka

Maria Hurtig

Utbildningsförvaltning Skellefteå

Ellen Lindqvist

NTI gymnasiet

Jörgen Jonsson

Utbildningsförvaltning Västervik

Mattias Wickberg

Stockholm Science and Innovation School (SSIS)

Sara Penje

Utbildningsförvaltning Lidingö