LEVERAGING AI TOOLS IN FIRST-YEAR PROGRAMMING EDUCATION: A CASE STUDY ON STUDENT PERCEPTIONS AND LEARNING EXPERIENCES AT A PRIVATE HIGHER EDUCATION INSTITUTION

This study explores the integration of AI-powered tools in programming education, using the Technology Acceptance Model (TAM) to analyse students' perceptions and experiences.Through thematic analysis of focus group discussions with eight participants, the research identifies key themes, including initial perceptions of AI, its role in enhancing understanding and structuring code, ease of use, and its impact on problem-solving skills.While AI tools were found to enhance learning efficiency and boost confidence, concerns regarding over-reliance and ethical implications were raised.The study underscores the importance of structured AI integration, fostering critical thinking, and implementing ethical guidelines to promote responsible use.The findings provide valuable insights for educators on balancing AI's potential with traditional teaching methods to enhance student learning.Recommendations for future research include exploring the long-term effects of AI on programming education and increasing awareness of its ethical considerations.