An Investigation Into the Impact of Artificial Intelligence (ai) on Biology Education Students Academic Excellence of Northwest University Kano

his study investigates the impact of artificial intelligence (AI) on the academic
excellence of Biology students at Northwest University, Kano. A quantitative
research approach was adopted, employing a quasi-experimental design that utilized
pre-test and post-test assessments to measure changes in students’ academic
performance after integrating AI tools into their learning process. The study
population consisted of 497 biology education students at the 300 and 400 levels,
from which a sample of 217 was selected using Krejcie and Morgan’s sample size
determination table. A simple random sampling technique ensured fair
representation of participants.Data was collected using a structured Likert-scale
questionnaire designed to assess students' perceptions and experiences regarding
AI usage in their academic activities. The collected data was analyzed using
descriptive and inferential statistical methods, including frequencies, means, and
standard deviations. The findings reveal that while AI tools positively influence
comprehension and engagement with biological concepts, challenges such as
inadequate institutional support, high costs, and limited training hinder optimal
utilization. The study concludes that AI has the potential to enhance students’
academic achievement in biology when effectively integrated into educational
practices, and it recommends increased institutional support, improved accessibility,
and AI literacy training to maximize its benefits.