Exploring the Direct and Indirect Impact of AI on Pre-Service Teacher's Teaching Effectiveness

Artificial Intelligence (AI) as a core branch of computer science is seen as an attempt to get to know the importance of intelligence and to give a new trend of intelligent machines that can respond in the way human beings can with advance research in various areas of data science, data mining, data analytics, machine learning, deep learning, knowledge discovery, knowledge reasoning, speech recognition, natural language processing, language recognition, image recognition, computer vision, planning, robotics, gaming, and many more. This study explains the essence of AI in the training of pre-service teachers describes how AI will be used directly and indirectly to assist pre-service teachers to teach effectively and efficiently, spots out some challenges that AI can be used to resolve in educational processes, and transforms earlier approaches of teaching to modern and acceptable types. The study used descriptive survey design approach where teachers within Alimosho, and Ojo Local Government Areas of Lagos state formed the target population with a total of 80 teachers formed the sample for this study. Questionnaire was the major instrument used to collect information from the samples. The questionnaire items were validated and reliability index gotten confirmed that the instrument was reliable for the study. Results showed that AI has great impact either directly or indirectly on pre-teacher in preparing them for future professional development, it is capable to be used as a tutor to train pre-teachers in creating contents that are easily accessible and convenient to students regardless of their ages, distance and gender differences, and also has capacity to automate tasks to save teachers time with convenience. It is concluded that there is no doubt that artificial intelligence is the most promising technology, and the education sector will immensely benefit from it.