Okeke, Ogbonnaya James (2025) ARTIFICIAL INTELLIGENCE IN NIGERIAN CHEMISTRY EDUCATION: ISSUES, CHALLENGES, AND THE WAY FORWARD. WORLD EDUCATORS FORUM, 8 (1). pp. 1-13.
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Dr. O.J Okeke’s Paper on Artificial Intelligence in Chemistry Education.pdf Download (981kB) |
Abstract
Artificial Intelligence is gradually transforming chemistry education through modern approaches that boost educational processes and experimental practices as well as problemsolving methods. AI tools such as virtual labs, ChatGPT, and predictive modeling systems enhance learning by offering interactive and customized educational experiences to students. This paper explores the applications, benefits, and challenges of AI in chemistry education, focusing on its role in simplifying complex concepts, improving laboratory simulations, and fostering data-driven experimentation. However, concerns persist regarding accessibility, the digital divide, and the diminishing emphasis on hands-on practical skills—key issues in Nigeria’s education system. Additionally, ethical challenges such as data privacy and algorithmic biases in scientific analysis raise critical questions about AI’s reliability. By examining these dynamics, this paper highlights strategies for integrating AI responsibly in chemistry education, ensuring it complements traditional learning while addressing infrastructural gaps and preserving essential experimental skills.
| Item Type: | Article |
|---|---|
| Subjects: | L Education > L Education (General) |
| Divisions: | Faculty of Arts > Faculty of Law > Faculty of Management and Social Sciences > Faculty of Education |
| Depositing User: | Uchenna Eneogwe |
| Date Deposited: | 12 Aug 2025 07:07 |
| Last Modified: | 12 Aug 2025 07:07 |
| URI: | http://eprints.gouni.edu.ng/id/eprint/5015 |
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