A Review of the Potential of Artificial Intelligence (AI) in Enhancing Chemistry Education
A review of the literature on artificial intelligence's (AI) potential to improve chemistry education is presented in this paper. The study assesses how AI-driven tools like intelligent tutoring systems, virtual labs, and adaptive learning platforms can revolutionize chemistry education by looking at peer-reviewed books, articles, and reliable internet sources. According to the analysis, AI can help students solve problems more effectively, create individualized learning experiences, as well as render abstract chemical ideas more approachable. The study also discusses ethical issues, the dangers of technological dependence, and the necessity of teacher preparation. Although AI has shown great promise in improving chemistry learning, the review comes to the conclusion that its effective application necessitates a well-rounded strategy that combines AI with conventional teaching techniques to guarantee its advantages are fully realized not undermining the role of teachers.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-04-06
- DOI
- https://doi.org/10.5281/zenodo.15202897
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00