GASPRO International Journal of Eminent Scholars

                                                                                    ABSTRACT

The study examined the prospect and challenges of artificial intelligence for effective teaching and learning of science in Colleges of Education in Imo State. The study was carried out in Imo State. The targeted population for the study comprised all ICT and science lecturers in colleges of education Imo State. A descriptive survey design was adopted for the study, using a stratified random sampling technique to select 120 ICT lecturers from Imo State College of Education and 120 from Alvan Ikoku Federal College of Education Imo State, this gave a total of 240 respondents used for the study. The instrument used for data collection was a structured questionnaire titled “Artificial Intelligence and Effective Teaching and Learning Questionnaire (AIETLQ)”. Face and content validation of the instrument was carried out by an expert in test, measurement, and evaluation in order to ensure that the instrument has the validity and accuracy for the study under consideration. The reliability coefficient obtained was 0.91, and this was substantially high enough to justify the use of the instrument. The researcher subjected the data generated for this study to appropriate statistical technique such as percentage analysis to answer research questions. The findings of the research revealed that ‘personalized learning’ was the highest prospect of artificial intelligence in effective teaching and learning of science in Imo state Colleges of Education and also that ‘inadequate preparedness of teachers’ was the major challenge of artificial intelligence in teaching and learning of science in Imo State Colleges of education. The study concluded that by leveraging AI-powered tools and platforms, educators can personalize learning experiences, enhance student engagement, and optimize teaching methodologies to better cater to diverse learning styles. One of the recommendations was that they should be professional development and training programmes for educators to build their capacity for effectively integrating AI tools and resources into science instruction, assessment, and curriculum development.

KEYWORD: Artificial Intelligence, Effective Teaching, Prospect and Challenges