Artificial Intelligence and Information Technology Education: A Systematic Literature Review

Artificial intelligence (AI) is fundamentally changing the paradigms of Information Technology (IT) education. This technology, at the heart of the Fourth Industrial Revolution, is no longer just a part of the curriculum but also functions as a pedagogical tool. The current study aims to comprehensively analyze the existing literature examining the multifaceted impacts of AI on IT education. Key shifts, such as intelligent tutoring systems, personalized learning paths facilitated by learning analytics, automated code evaluation and feedback mechanisms, and the integration of generative AI tools (e.g., GitHub Copilot, ChatGPT), are examined in depth. The findings highlight the potential of AI to improve student performance, manage cognitive load, and strengthen student motivation and engagement. It also demonstrates its potential to reduce instructors\\\' administrative burdens, allowing them to focus on higher-level pedagogical activities. However, significant challenges associated with this integration have been identified, including concerns about academic integrity, ethical implications, algorithmic bias, and excessive cognitive reliance on AI tools.