Qualitative study highlights integration of AI tools in chemistry education, suggesting improved outcomes for sustainable development.
This study explores the integration of artificial intelligence (AI) tools into chemistry education and research with a focus on sustainable development. The objectives for this theoretical work were towards integrating AI tools in chemistry education and research. Nine processes of AI were juxtaposed from literature to actualise the objectives in this article viz: computer simulation for chemistry education programs; virtual laboratory for chemistry education program; personalised learning for chemistry education program; automated assessment for chemistry education program; integration of AI tools in organic synthesis; integration of AI tools in molecular designing; integration of AI tools in detection of molecular properties; integration of AI tools in spectroscopy and analytical methods and integration of AI tools in waste water treatment. The overview of current knowledge on this topic was achieved through relevant literature. The paper also examines the challenges of AI in chemistry education which include data quality, model validation, ethics and security. The study recommends that professional development programs should be organized to enhance teachers’ confidence and competence in implementing AI tools in their classrooms thereby enriching the learning experience.
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BUGAJE et al. (2025) studied this question.
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