JOURNAL OF LIAONING TECHNICAL UNIVERSITY
(NATURAL SCIENCE EDITION)
LIAONING GONGCHENG JISHU DAXUE XUEBAO (ZIRAN KEXUE BAN)
辽宁工程技术大学学报（自然科学版）
DEVELOPING AI-ASSISTED LEARNING ENVIRONMENT FOR ART EDUCATION IN EKITI STATE SECONDARY SCHOOL
Ogunmola, Michael Olusola (Ph.D)
Abstract
The study sought to investigate the development of AI-assisted learning environment for Art Education in Ekiti state secondary schools. The sample for the study was made up of seventy-six (76) students and ten (10) teachers. The study employed purposive and stratified random sampling techniques to select sample for the study from five sampled secondary schools. The study used a descriptive survey research design. The instrument used for the study was a self-structured questionnaire designed by the researchers based on students' and teachers' knowledge, preference and perception of AI-Assisted learning in Art Education. The validity and reliability of the instrument were ascertained to ensure the instrument was reliable for the study. Four research questions raised to guide the study were answered descriptively using weighted mean, and Standard Deviation. Chi square of independent sample and One-way Analysis of Variance (ANOVA) were employed to evaluate the hypotheses formulated for the study. Based on the data analysis, the findings of the study established that students generally exhibit a positive attitude toward AI-assisted learning environments, appreciating their personalized learning features, interactive tools, and real-time feedback. Also, the development and implementation of AI-assisted learning environments require careful attention to ethical concerns, particularly data privacy, algorithmic fairness, and inclusivity. AI-assisted environments demonstrated a significant positive impact on students' performance in Art Education, and that teachers advocated for professional development programs, collaborative design of AI tools, and supportive policies to address these challenges effectively. The study recommended that AI system should be designed with customization options to align with students’ individual artistic interests and skill levels. This may include adaptive difficulty levels, preferred art techniques, and personalized feedback.
Keywords: AI-Assisted learning; Learning Environment; Art Education, Students’ Performance.