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Visualised climate data in classrooms

Reference number
Coordinator Helsingborgs kommun - Helsingborgs stad
Funding from Vinnova SEK 1 233 222
Project duration February 2023 - June 2024
Status Ongoing
Venture The strategic innovation programme for the Internet of Things
Call IoT for innovative social benefits and a better life for everyone in a connected world

Purpose and goal

By getting a picture of climate data in the classroom, teachers and students can start different activities to understand how they can affect the climate. What if students forbid their parents from driving them to school, if students take smaller portions of food, based on the data they gleaned from IoT sensors? Real-time data visualization helps teachers and students understand that their choices make a tangible difference. We want to scale up the control panel project to more schools to speed up the data-driven climate awareness with the students in the school as a starting point.

Expected results and effects

The control panel creates opportunities to use IoT technology in teaching, teachers get a new tool to teach abstract concepts about the environment, climate change, global goals. Increased environmental and climate awareness among students and guardians (via their children´s involvement) and increased understanding of their role and how they can affect the environment and climate change. Makes opportunities for a better working environment visible for teachers and students. Reduce food waste by visualizing it for students.

Planned approach and implementation

Activity 1 Evaluation of pilot & define scope for iteration 2 Activity 2 Create the next iteration of the solution Activity 3 Installation of iteration 2 at school 1-10 Activity 4 Evaluation of iteration 2 Activity 5 Update of solution to iteration 3 Activity 6 Introduction and installation schools 11-25 Activity 7 Evaluation of iteration 3 Activity 8 Packaging of educational material. Activity 9 Final report of the project

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 13 February 2024

Reference number 2022-03767

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