Abstract:

In 2024, the intersection of artificial intelligence (AI) and education, particularly in the realms of ecology and biology, stands at a pivotal juncture. Despite the availability of numerous AI platforms and apps that facilitate the learning of eco- and biological sciences, there's a notable gap in their systematic incorporation into educational curricula, a gap we term the need for "ecoartificial education" (EAE). This concept seeks to merge AI with the study of the environment, advocating for a curriculum that not only includes, but prioritizes, AI-assisted learning in ecology and biology. EAE proposes a typology of AI systems—classifiers, optimizers, simulators, generators, and communicators—to enhance both teaching and learning experiences. These systems offer practical examples, like plant recognition and bird song generation, aiming to cultivate a deeper understanding and appreciation of our biosphere among students.

Ecoartificial Education (EAE) merges AI with pedagogy to deepen our biosphere understanding and respect. It focuses on 'learning-with-AI' rather than 'learning-about-AI', using AI systems to assist in learning eco- and biological sciences. Classifiers identify species from visual/audio data, enhancing recognition and reducing risks associated with misidentification. Optimizers and simulators provide solutions to ecological problems and immersive learning experiences. Generators and communicators enable interaction with non-human life, aiming for a future where technology aids in understanding and preserving our natural world. EAE embodies a shift towards integrating ecological awareness into education, leveraging AI to foster a harmonious coexistence between humans and the biosphere.

The dire need for EAE stems from a disconnection within the educational system from our environmental roots, highlighted by the lack of engagement with the natural world among students who can easily navigate digital platforms but struggle to identify the flora and fauna that surround them. This gap not only undermines the potential for fostering an eco-conscious mindset among the next generation but also jeopardizes the transmission of invaluable knowledge about our local ecosystems.

The advent of AI in education presents a unique opportunity to bridge this gap, introducing students to sustainable development goals and instilling a respect for biodiversity through innovative learning tools. The deployment of AI not only makes the identification of species more accessible but also opens up new avenues for understanding and interacting with the natural world, marking a significant step toward achieving a harmonious coexistence with our environment.

This abstract advocates for the integration of EAE into the broader educational framework, emphasizing its potential to revolutionize the way we approach learning about our planet. By leveraging AI, we can foster a generation that is not only aware of the challenges facing our environment but is also equipped with the knowledge and tools to address them, paving the way for a more sustainable future. This vision aligns with the principles of the Novacene, suggesting a future where humanity, AI, and the natural world coexist in a balanced ecosystem, supported through educational practices that prioritize ecoartificial education.

Keywords:

Eco-artificial education, species identification, classifiers, generative models, inter-species communication, artificial life, Sustainable Development Goals 2, 3, 6, 11-15.