International Journal of Sub-Saharan African Research (IJSSAR)

Background: The advent of Artificial Intelligence (AI) is significantly affecting every sphere of the human endeavour. In Academics, AI plays important role in research, teaching and learning among students and teachers. This study investigated the Knowledge and Use of Artificial Intelligence (AI) for teaching and learning among teaching Staff and Students of Alex Ekwueme Federal University Ndufu-Alike Ikwo.
Objective: The objective of the study is to investigate the level of knowledge of Artificial Intelligence for teaching and learning among teaching staff and students of Alex Ekwueme Federal University Ndufu-Alike Ikwo. The study was anchored on Technology Acceptance Model (TAM) theory. Methods: Descriptive research method was used in this study; the study comprises teaching staff and students of three departments selected from three faculties in Alex Ekwueme Federal University. The total population of teaching staff and students of AE-FUNAI was 2907 and the sample size of the study was 400. The major instrument used in data collection for this study was structured questionnaire. The researcher used questionnaire because it is very necessary to get the opinions and reactions of the teaching staff and students under study. The instrument was validated by two experts in Mass Communication. Test retest was used to ascertain the reliability of the instrument and the reliability coefficient is 0.85.
Result: Findings show that respondents have low level of knowledge in the use of artificial intelligence. There was also low level of use of Artificial Intelligence for teaching and learning among teaching staff in AE-FUNAI. Further finding revealed that most of the respondents do not have good knowledge about and access on the use of Artificial Intelligence for learning.
Conclusion: The integration of Artificial Intelligence in Academic settings offers a multitude of benefits for both teaching staff and students. For teaching staff, AI can streamline administrative tasks, provide personalized professional development, and enhance instructional methods through data-driven insights. Contribution: The use of AI is supported in areas where students lack personal attention, understanding of their own specific needs, and prompt response to their needs. Therefore, the management representatives in higher education institutions should improve the quality of this aspect of service. Recommendation: It was recommended that AE-FUNAI management should encourage staff and students to improve the level of their knowledge on the use of AI, for Academic purposes. The management representatives in higher Education Institutions should improve the quality of this aspect of service. The study recommends that Staff should be trained and retrained in the acquisition of AI abilities to be more competence in the use of artificial intelligence and get familiarised with AI machines for teaching.