AWARENESS AND UTILIZATION OF AI (GENERATIVE) FOR ADAPTIVE LEARNING AMONG COMPUTER SCIENCE EDUCATION STUDENTS IN THE NATIONAL OPEN UNIVERSITY OF NIGERIA

Abstract

This study examined the awareness and utilization of artificial intelligence (AI) for adaptive learning among Computer Science Education students at the National Open University of Nigeria (NOUN). Specifically, it sought to assess students’ level of awareness of AI for adaptive learning, evaluate the extent to which they utilize generative AI tools in their learning processes, identify factors influencing their awareness and utilization, and investigate the challenges they face in using AI tools. The study was based on the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT), and adopted a descriptive survey design. The entire population of 90 Computer Science Education students across 37 study centers was used as the sample through a census method. Data were collected using a structured four-point Likertscale questionnaire designed in Google Forms and analyzed with descriptive statistics, including simple percentages, mean averages, and standard deviations. Findings revealed a strong level of awareness of AI for adaptive learning among students as well as significant utilization of Generative AI tools such as ChatGPT, Gemini, and Copilot. Factors such as tool availability, peer influence, lecturer encouragement, relevance to their field, ethical knowledge, and institutional training were found to positively shape their engagement with AI. However, the study also found challenges such as limited internet access, high costs of data and devices, technical issues, and a lack of clear institutional guidance. Recommendations included advanced AI training programs by NOUN management, integration of AI tools into coursework by lecturers, peerlearning initiatives by administrators, and improved infrastructure and policies by the government and ICT departments.