Baltijas bāka: mākslīgais intelekts, māksla un rīcība Zaļā kursa ietvaros

Projekts “Baltijas bāka: mākslīgais intelekts, māksla un rīcība Zaļā kursa ietvaros”

Baltijas bāka (B-BAAG) ir starpdisciplināra izglītības iniciatīva, kuras mērķis ir stiprināt vides pratību un aktīvu pilsoniskumu skolas vecuma skolēnu vidū Latvijā, īpašu uzmanību pievēršot Baltijas jūras reģionam. Balstoties uz Eiropas Zaļā kursa un Eiropas Klimata pakta principiem, projekts cenšas sniegt skolēniem zināšanas, prasmes un motivāciju risināt jūras piesārņojuma, bioloģiskās daudzveidības samazināšanās un klimata pārmaiņu problēmas, izmantojot visaptverošu, uz STEAM (zinātne, tehnoloģijas, inženierzinātnes, māksla un matemātika) balstītu ietvaru. Projekta galvenais mērķis ir veicināt videi apzinīgas jaunatnes paaudzi, kas spēj pārvērst zinātniskos pētījumus reālos klimata pasākumos. Lai to panāktu, projektā tiks īstenota virkne strukturētu aktivitāšu, tostarp vides datu
vākšana, izmantojot sensoru tehnoloģijas, mākslīgā intelekta pielietošana jūras atkritumu identificēšanai un klasificēšanai, kā arī savākto atkritumu radoša atkārtota izmantošana.

Main activities of the project

Field Research and Water Analysis

Students explored the Baltic Sea through field visits and hands-on scientific investigation, experiencing environmental research in a real-world setting. Observing the coastline and collecting samples helped them better understand how ecosystems function and how pollution can be identified. Back at school, they analysed the collected data, turning their observations into meaningful scientific conclusions.

Sub-activities:

Coastal excursions and ecosystem observation
Water sample collection
Laboratory analysis (pH, nitrates, microorganisms)

Clean-up and Waste Sorting

Through coastal clean-up activities, students directly engaged with environmental issues and saw the real impact of pollution. Collecting and sorting waste allowed them to recognise common types of litter and reflect on how human behaviour contributes to environmental problems.

Sub-activities:

Coastal clean-up activities
Waste collection and categorisation
Discussion of pollution sources and impacts

AI in Waste Analysis

Students explored how artificial intelligence can support environmental protection by applying simple AI tools to analyse collected waste. This activity helped them understand how technology can be used to identify patterns and support solutions to real-world problems.

Sub-activities:

Photographing collected waste
Using simple AI tools to classify litter
Comparing AI results with human observations

Circular Economy Workshop “From Waste to Value.”

In this activity, students learned how waste can be transformed into valuable resources. By reusing collected materials, they created artistic and functional objects, discovering how creativity and sustainability can work together. The exhibition of their work reinforced the idea that waste can have a second life.

Sub-activities:

Waste sorting and material selection
Creation of artistic and functional objects
Exhibition of upcycled products

Data Interpretation and Creative Expression

Students analysed environmental data and presented their findings in visual and creative forms. By combining scientific thinking with artistic expression, they developed a deeper understanding of environmental issues and communicated their ideas in engaging ways.

Sub-activities:

Creating graphs and analysing collected data
Designing posters and logos
Storytelling activity: “What would the sea say if it could speak?”

Final Exhibition and Presentation

The project concluded with a public exhibition, where students shared their results, creative work, and reflections with the school community and parents. This final stage gave them the opportunity to present their achievements and inspire others to think about environmental responsibility.

Sub-activities:

Preparation of presentations and displays
Public exhibition for school and parents
Reflection and discussion of project outcomes