Year: 2025
Type: article
Abstract: Artificial Intelligence (AI) is reshaping chemistry education by offering new tools for teaching, learning, and research. We explore how AI can both support chemistry learning and serve as a subject of instruction, while also addressing the ethical, technical, and educational challenges involved. It highlights the need to systematically integrate AI-related competencies into teacher education, guided by frameworks like DiKoLAN AI. A reflective, responsible approach is essential to ensure AI enhances, rather than undermines, scientific understanding and equity in the classroom.
Authors: Johannes Huwer, Nikolai Maurer, Pauline Mundt, Nadja Belova
Institutions: University of Konstanz, University of Bremen
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4413244016