Evaluating the Effectiveness and Challenges of Artificial Intelligence Tools in Chemistry Instruction at the Federal University of Education, Zaria

This study, titled evaluating the effectiveness and implementation challenges of artificial intelligence tools in chemistry instruction in Federal University of Education, Zaria was guided by four specific objectives, along with corresponding research questions. The study focused on chemistry lecturers and students within Federal University of Education, Zaria. A descriptive survey design was employed, involving a sample of one hundred and twenty (120) students and ten (10) lecturers. The sample was selected using purposive sampling technique. The instrument for data collection was a structured questionnaire, which yielded a reliability coefficient of 0.70 after pilot testing. Data collection was self-administered and anlyzed using the descriptive statistics of mean and standard deviation. Findings revealed that there is a generally positive perception of the impact of AI tools (Reelmind.ai) on students’ understanding of abstract chemistry concepts at the Federal University of Education, Zaria (X=3.14), lecturers at the Federal University of Education, Zaria demonstrate an overall high level of technological pedagogical content knowledge (TPACK) (X=3.13), key infrastructural challenges exist in implementing AI tools (Reelmind.ai) in chemistry instruction at the Federal University of Education, Zaria (X=3.30) and there is a generally positive perception of AI tools (Reelmind.ai) among chemistry lecturers and students (X=3.07). The research recommends that the university administration and government agencies should invest in stable internet connectivity, reliable electricity, and access to up-to-date hardware and software, among others.