Thesis Abstract

Abstract
The integration of Artificial Intelligence (AI) in educational settings has been a topic of interest and exploration in recent years. This thesis focuses on the implementation of AI technologies to enhance personalized learning experiences in the field of computer science education. The primary objective is to investigate how AI can be effectively utilized to tailor educational content and activities to the individual needs and learning styles of students in computer science programs. Through a comprehensive literature review, this study examines the current landscape of AI applications in education and identifies gaps that can be addressed through personalized learning approaches. The research methodology involves a combination of quantitative and qualitative methods to gather and analyze data on the effectiveness of AI-driven personalized learning in computer science education. Data collection techniques include surveys, interviews, and observations conducted with students, educators, and AI developers. The study also explores the ethical considerations and challenges associated with implementing AI in educational settings, particularly in terms of data privacy, bias, and transparency. The findings of the research reveal the potential benefits of AI-driven personalized learning in computer science education, including improved student engagement, performance, and retention rates. The discussion delves into the implications of these findings for educational practice and policy, emphasizing the importance of ethical AI development and implementation. Furthermore, the study outlines practical recommendations for educators and AI developers to promote the responsible and effective use of AI technologies in personalized learning environments. In conclusion, this thesis contributes to the growing body of research on AI in education by offering insights into the opportunities and challenges of implementing AI for personalized learning in computer science education. By leveraging AI technologies to tailor educational experiences to individual student needs, educators can create more engaging and effective learning environments that support student success and foster a deeper understanding of computer science concepts.

Thesis Overview