Activities | 2026-08-21

Students analyse environmental data from the Smart Educational Bee Park and identify patterns or unusual changes. They explore how AI could support early warning, environmental monitoring and pattern recognition for pollinator protection. Output: AI Bee Protection concept.

Activities | 2026-08-21

Students explore the Internet of Things by connecting sensors to a microcontroller such as ESP8266 and transmitting measurements to a digital dashboard. They learn how physical environmental conditions can be monitored remotely. Output: Smart Hive IoT demonstration/dashboard

Activities | 2026-08-21

Students work with temperature and humidity sensors and collect environmental measurements. They organise the data in tables, create graphs and compare conditions between different environments. Output: Sensor Data Sheet and graphs.

Activities | 2026-08-21

Students investigate which conditions could be monitored inside a beehive. They design a Smart Hive algorithm: Sensor → Data → Condition → Decision → Alert They simulate or programme the system using appropriate digital tools. Output: Smart Hive algorithm/concept.

Activities | 2026-08-21

Students combine location, environmental observations, biodiversity information and measurements into a digital map. They use categories, symbols and data layers to communicate environmental patterns. Output: Digital Blue Biodiversity Map.

Activities | 2026-08-21

Students work with water-quality datasets or observations. They organise measurements, create tables and graphs, identify patterns and formulate evidence-based conclusions. Output: Water Data Story. Skills: Data literacy, mathematics, statistics, interpretation and critical thinking.

Activities | 2026-08-21

Teams receive a real-world environmental challenge and have limited time to design a technology-based solution. They must use at least one computational thinking or coding concept and present their solution using: Problem → Algorithm → Technology → Solution → Impact Output: Team challenge solution and short presentation.

Activities | 2026-08-21

Students investigate biodiversity in freshwater ecosystems and organise information about species, habitats, locations and threats. They create digital biodiversity records and discuss how technology can support biodiversity monitoring. Output: Digital Biodiversity Records.

Activities | 2026-08-21

Students investigate biodiversity in freshwater ecosystems and organise information about species, habitats, locations and threats. They create digital biodiversity records and discuss how technology can support biodiversity monitoring. Output: Digital Biodiversity Records.

Activities | 2026-08-21

Teams receive a real-world environmental challenge and have limited time to design a technology-based solution. They must use at least one computational thinking or coding concept and present their solution using: Problem → Algorithm → Technology → Solution → Impact Output: Team challenge solution and short presentation.