Leveraging the potential of artificial intelligence-powered technologies for science teaching and learning at Ignatius Ajuru University of Education
DOI:
https://doi.org/10.63561/fnas-jmse.v7i2.1094Keywords:
Artificial Intelligence, Potential, Technologies, Science Education, TeachingAbstract
The world is gradually moving towards artificial intelligence (AI), as every aspect of life is becoming AI-driven. The education sector is not left out, but most schools lack basic teaching and learning facilities which can be augmented by AI. Leveraging the potentials of AI-powered technologies, scholars at Ignatius Ajuru University of Education require certain skills and knowledge. Four objectives which translated to four research questions and two hypotheses guided the study. Sample size was 200 (183 students and 17 lecturers) and the instrument for data collection was a questionnaire titled “Questionnaire on Leveraging AI-Powered Technologies for Science Teaching and Learning (QOLATSTAL)”. The instrument was validated by 3 experts and the reliability coefficient was 0.86, which was obtained after applying Cronbach Alpha analysis. Mean and standard deviation was used to answer research questions while hypotheses were tested with t-test at 0.05 level of significance. Findings show that students and lecturers have low level of awareness and utilization of AI-powered technologies. Challenges and strategies of enhancing AI adoption were considered. Based on findings the study recommended among others that the university management should give institutional support by sponsoring trainings and workshops on the integration of AI into science teaching and learning.
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