Utilization of Artificial Intelligence Technology to Improve Programming Skills of Students of Computer Science and Information Systems Department

In the contemporary digital age, the integration of Artificial Intelligence (AI) into educational practices has garnered significant attention, particularly within the domain of programming education. AI-powered tools offer the potential to streamline the learning process, enabling students to acquire knowledge and skills more efficiently. By automating tasks such as code generation, debugging, and plagiarism detection, AI can alleviate the cognitive load associated with programming, thereby fostering a more engaging and productive learning experience. This study aims to investigate the specific impact of AI on students' programming knowledge and academic performance. Through an online survey administered to a diverse sample of Indonesian university students, this research explores the extent to which AI adoption influences factors such as motivation, self-efficacy, and perceived usefulness. The Information Adoption Model (IAM) serves as the theoretical framework for analysing the collected data. Structural Equation Modelling (SEM) is employed to assess the hypothesized relationships between AI usage and various academic outcomes. The findings of this study are expected to provide valuable insights into the efficacy of AI in enhancing programming education and inform the development of effective AI-integrated learning strategies.