Thesis Abstract

Abstract
The integration of Artificial Intelligence (AI) into educational settings has become increasingly prevalent in recent years, offering promising opportunities for enhancing personalized learning experiences. This thesis explores the implementation of AI in personalized learning systems specifically tailored for computer education. The primary objective is to investigate how AI technologies can be effectively utilized to adapt educational content and delivery methods to individual learner needs, thereby improving engagement, comprehension, and overall learning outcomes in the field of computer education. Chapter One provides an introduction to the research topic, discussing the background of the study, the problem statement, research objectives, limitations, scope, significance, and the structure of the thesis. The chapter also includes definitions of key terms to establish a conceptual framework for the study. Chapter Two presents a comprehensive literature review encompassing ten key areas related to AI in education, personalized learning systems, computer education, and relevant theoretical frameworks. This section synthesizes existing research findings, identifies gaps in the current literature, and lays the foundation for the research methodology. Chapter Three outlines the research methodology employed in this study, detailing the research design, data collection methods, sampling strategies, data analysis techniques, and ethical considerations. The chapter also explains the rationale behind the chosen methodology and justifies its appropriateness for achieving the research objectives. Chapter Four presents a detailed discussion of the research findings derived from the implementation of AI in personalized learning systems for computer education. This section analyzes the results obtained from student engagement, performance indicators, feedback mechanisms, and the overall effectiveness of the AI-driven learning environment in enhancing computer education outcomes. Chapter Five serves as the conclusion and summary of the thesis, providing a comprehensive overview of the research findings, implications for practice, limitations of the study, and recommendations for future research. The chapter also reflects on the significance of the study in advancing the field of computer education through the integration of AI technologies. Overall, this thesis contributes to the growing body of knowledge on the implementation of AI in personalized learning systems for computer education, offering insights into the potential benefits, challenges, and best practices associated with leveraging AI to enhance educational experiences. By exploring this innovative approach to learning, the research aims to inform educators, policymakers, and technology developers on the transformative impact of AI in shaping the future of computer education.

Thesis Overview