ARTIFICIAL INTELLIGENCE BASED PERSONALIZED LEARNING SYSTEMS AND SKILL ACQUISITION AMONG TECHNICAL COLLEGE STUDENTS IN EDO STATE

Abstract

This study investigated AI-Based Personalized Learning Systems and Skill Acquisition among Technical College Students in Edo State using descriptive survey research design. The study was guided by two research questions and two hypotheses. The population comprised 1,341 students from the five Edo State-owned technical colleges during the 2025/2026 academic session. A sample size of 308 students was determined using the Taro Yamane formula and selected through stratified and simple random sampling techniques. The instrument used for data collection was titled Artificial Intelligence-Based Personalized Learning Systems and Skill Acquisition Questionnaire (AIPLSSAQ), developed by the researchers and validated by three experts in Technical and Vocational Education, Educational Technology, and Measurement and Evaluation. Mean and standard deviation were used to answer the research questions, while Pearson Product Moment Correlation (PPMC) was used to test the hypotheses at the .05 level of significance. The findings revealed that AI-based personalized learning systems were utilized to a high extent in technical colleges in Edo State with a Grand Mean of 2.74. The study also found that AI-based personalized learning systems positively influenced students’ skill acquisition with a Grand Mean of 3.15. Furthermore, there was a significant positive relationship between AI-based personalized learning systems and skill acquisition among technical college students (r = .71 > .113). The study also revealed a significant relationship between the challenges of AI-based personalized learning systems and their utilization (r = .76 > .113). It was concluded that AI-based personalized learning systems significantly enhance skill acquisition, learning motivation, independent learning, and vocational competency development among technical college students. The study recommended, among others, that government should provide adequate funding and digital infrastructure, while technical college administrators and teachers should be trained and supported to effectively integrate AI technologies into teaching and learning processes. Students should be encouraged to actively utilize AI-based learning tools for self-paced learning, problem-solving, and skill development in their various vocational fields.