AI in chemistry and chemical education: AI in chemistry

Johannes Huwer; Nikolai Maurer; Pauline Mundt; Nadja Belova

doi:10.51724/ijpce.v17i1.403

Authors

Johannes Huwer University of Konstanz, Konstanz, Germany https://orcid.org/0000-0002-4271-7822
Nikolai Maurer University of Konstanz, Konstanz, Germany https://orcid.org/0009-0000-3782-6592
Pauline Mundt University of Bremen, Bremen, Germany
Nadja Belova University of Bremen, Bremen, Germany https://orcid.org/0000-0001-6945-528X

DOI:

https://doi.org/10.51724/ijpce.v17i1.403

Keywords:

Artificial Intelligence, Chemical Education, AI

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.

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Author Biographies

Johannes Huwer, University of Konstanz, Konstanz, Germany

University of Konstanz, Konstanz, Germany & University of Education Thurgau, Kreuzlingen, Switzerland

Nikolai Maurer, University of Konstanz, Konstanz, Germany

University of Konstanz, Konstanz, Germany & University of Education Thurgau, Kreuzlingen, Switzerland

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