Impact of Artificial Intelligence on Student Learning Outcomes – Advantages and Pitfalls

Abstract

AI is revolutionising education by bringing cutting-edge, individualised solutions that change how instructors and students learn. With the use of adaptive learning technologies, AI-powered solutions allow students to improve their academic performance, target areas that need development, and advance at their own speed. Education becomes more personalised, engaging, and accessible as a result of these developments. But there are also issues with incorporating AI into education, such as an excessive dependence on technology that might impair students' ability to think critically, be creative, and solve problems. In academic settings, concerns are also raised about the digital gap and the moral implications of artificial intelligence. The focus of this research paper is on the advantages and challenges of "Artificial Intelligence (AI)" in the swiftly changing educational landscape, with an emphasis on its influence on student learning outcomes.  This study also aims to assess the dual role of AI—whether it serves as a blessing by revolutionizing education or poses risks that hinder holistic student development. To provide a comprehensive understanding, data was collected using secondary sources as well as primary using structured questionnaires distributed via Google Forms, capturing diverse perspectives on AI's impact on learning processes and overall performance. The research also examines whether AI-driven approaches can complement or effectively replace traditional teaching methods. Through this analysis, the paper offers valuable insights into how AI influences educational practices, student engagement, and performance outcomes, ultimately contributing to the broader discourse on the future of technology in education. The findings aim to inform educators, policymakers, and technologists in navigating the advantages and pitfalls of AI to optimize its potential for "student success”.