Analyzing the Integration of AI in Chemistry Education

Authors

  • Cameron Phillips
  • Kim Harris
  • Robin Lopez

Keywords:

artificial intelligence, technology, chemistry, education, learning

Abstract

This paper delves into the integration of artificial intelligence (AI) in chemistry education, analyzing both opportunities and challenges. By reviewing various AI applications, including personalized learning and predictive analytics, we explore their impact on student learning outcomes and teaching methodologies. The study provides a critical examination of AI tools, their potential to transform educational practices, and the ethical considerations involved. Our findings suggest strategic pathways for effective AI integration in chemistry curricula.

Author Biographies

Cameron Phillips

PhD
National University of Singapore
21 Lower Kent Ridge Rd, Singapore 119077

Kim Harris

PhD
California Institute of Technology
1200 E California Blvd, Pasadena, CA 91125, USA

Robin Lopez

PhD
Kharkiv Polytechnic Institute
2 Kyrpychova St, Kharkiv, Kharkiv Oblast, Ukraine, 61002

References

Rizak G.V. Search for biologically active substances using the example of 2.4-dioxo- and 4-imino-2-oxo-3-phenyl-5-R-6-R`-thieno[2.3-d]pyrimidines, prospects for their usein pharmacy and medicine / G.V. Rizak // Azərbaycan Əczaçılıq və Farmakoterapiya Jurnalı = Azerbaijan Pharmaceutic al & Pharmacotherapy Journal. – 2023. – 23 (1). – P. 29-46.

Published

2025-08-13

Issue

Section

Articles