Influence of Artificial Intelligence on the Quality of Education in Higher Learning: A Case Study of Faculty of Education, University of Nairobi, Kenya

Abstract

This study investigated influence of artificial intelligence on the quality of education in higher learning: A case study of Faculty of Education, University of Nairobi, Kenya. The research hypothesis was H₀1: There is no significant relationship between Instructors preparedness on Artificial Intelligence and the quality of education in higher education.H₀2: There is no significant relationship between Artificial Intelligence on Research and the quality of education in higher education and H₀3: There is no significant relationship between Adoption of Artificial Intelligence by Higher Education Institution and the quality of education in higher education. The study was based on the Constructivist Learning Theory, developed primarily by Jean Piaget in 1976. Descriptive Survey research design was used. The study targeted 4000 students, 300 lecturers, 1 Dean and 4 Chairs of Departments. A sample of 20% was used on both lecturers and students. Simple random sampling was used to select the students while census sampling was used to select ICT administrators and Lecturers. Google forms were used to collect data from the lecturers while questionnaires were used on students and Interviews from the Deans and Chairs of Departments. The results indicated a significant and high positive correlation between Instructor preparedness and the quality of education in higher education with a coefficient of r(35)=.898. The null hypothesis (p<0.05) was rejected. This showed that there is a correlation between involvement in decision making and lecturers’ performance in public universities in Kenya The results indicated a significant and high positive correlation between Artificial Intelligence on Research and the quality of education in higher education, with a coefficient of r(35)=.909. The null hypothesis (p<0.05) was rejected and On Adoption of Artificial Intelligence by Higher Education Institution and the quality of education in higher education. where Chi square (df=6, Pearson Chi square(χ2) =58.772^a and p=0.000 at 0.05 level of significance. The study concluded that artificial intelligence influenced the quality of education in higher learning with Instructors preparedness on Artificial Intelligence, Artificial Intelligence on Research and Adoption of Artificial Intelligence by Higher Education Institution having a statistically significant relationship between on the quality of Education. It was then recommended that Universities should encourage the integration of AI tools and systems in research activities to improve research quality and efficiency. Universities should adopt institution-wide AI strategies that focus on integrating AI into administrative, academic, and student services. Universities should seek government funding or private sector partnerships to build or upgrade existing facilities to support AI-based learning and research

Keywords: Influence, Artificial Intelligence, Quality Education, Higher Learning

DOI: 10.7176/JEP/15-11-11

Publication date: October 30th 2024