The Role of Artificial Intelligence in Enhancing Chemistry Education: A Pathway to Improve Student’s Performance and Academic Achievement in Nsukka Education Zone

Idris Nafisat Oyiza, Okere Ikechukwu Justice, Basil C.E Oguguo, Dimkpa Chika Hannah, Odo Anthony Chikwado, Yohanna Ibrahim, Omatalu Daniel Izuchukwu and Chinweike Jane Ndubumma
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Idris Nafisat Oyiza: Department of Science Education, University of Nigeria Nsukka
Okere Ikechukwu Justice: Department of Science Education, University of Nigeria Nsukka
Basil C.E Oguguo: Department of Science Education, University of Nigeria Nsukka
Dimkpa Chika Hannah: Department of Special Needs Education, University of Nigeria Nsukka
Odo Anthony Chikwado: Department of Science Education, University of Nigeria Nsukka
Yohanna Ibrahim: Department of Science Education, University of Nigeria Nsukka
Omatalu Daniel Izuchukwu: Department of Educational Psychology, Federal College of Education, Eha-Amufu
Chinweike Jane Ndubumma: Department of Science Education, University of Nigeria Nsukka

International Journal of Research and Innovation in Social Science, 2025, vol. 9, issue 6, 5043-5049

Abstract: This study was carried out to examine the role of artificial intelligence in enhancing student’s performance and academic achievement in chemistry. The study was conducted in Nsukka Education zone. The study adopted correlation design. Two research questions and two hypotheses were used in the study. The population of the study comprised of 3527 chemistry students from which 305 students were drawn using multistage sampling technique. The instruments; artificial intelligence questionnaire (AIQ), students’ academic pro-forma rating scale (SAPRS) and students’ academic achievement in Chemistry (SAATC) were used in the study. The internal consistency reliability indices of (AIQ) and (SAPRS) were determined to be 0.75 and 0.77 using Cronbach alpha while the internal consistency reliability of (SAATC) was 0.72 using KR-20. Simple linear regression was used to answer the research questions while regression ANOVA was used to test the hypotheses at 0.05 level of significance. The result shows that students’ knowledge of artificial intelligence significantly predict students’ academic performance and achievement in Chemistry. Based on the findings, it was recommended among others that, Chemistry teachers should encourage learners centered method in the process of teaching by so doing students will be exposed to the use of artificial intelligence which will help to improve students’ academic achievement in Chemistry.

Date: 2025
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