Project Abstract

ABSTRACT The advancement of technology has paved the way for innovative solutions in the field of education, with a particular focus on personalized learning. This research project aims to develop an Intelligent Tutoring System (ITS) that can provide tailored learning experiences to students based on their individual needs and preferences. The system will utilize artificial intelligence and machine learning algorithms to analyze student data, assess their learning styles, and deliver customized educational content. Chapter 1 introduces the research topic, providing background information on the importance of personalized learning and the challenges faced in traditional educational settings. The problem statement outlines the limitations of current teaching methods and the need for a more adaptive approach to education. The objectives of the study are to design and implement an ITS that can enhance student engagement and improve learning outcomes. The scope of the research defines the parameters of the study, while the significance of the study highlights the potential impact of the ITS on the education sector. Chapter 2 presents a comprehensive literature review on personalized learning, intelligent tutoring systems, and related technologies. The review includes ten key studies that have explored the benefits and challenges of implementing ITS in educational settings. By analyzing existing research, this chapter provides a theoretical foundation for the development of the proposed ITS. Chapter 3 details the research methodology employed in this study, outlining the steps taken to design, develop, and evaluate the ITS. The methodology includes data collection methods, system architecture design, algorithm selection, and evaluation criteria. Eight key components of the research methodology are discussed in depth to provide insights into the development process. Chapter 4 presents the findings of the study, including the performance evaluation of the ITS and the impact on student learning outcomes. Seven key findings are discussed, highlighting the effectiveness of the system in delivering personalized learning experiences and improving student engagement. The chapter also addresses challenges encountered during the development and implementation phases. Chapter 5 concludes the research project by summarizing the key findings, discussing the implications for education, and proposing recommendations for future research. The conclusion highlights the significance of personalized learning and the potential of ITS to transform traditional teaching practices. By offering tailored educational experiences, the ITS has the potential to revolutionize the way students learn and educators teach. In conclusion, the development of an Intelligent Tutoring System for Personalized Learning represents a significant step towards enhancing the quality of education through adaptive technology. By leveraging artificial intelligence and machine learning, the ITS offers a promising solution to address the diverse learning needs of students and improve educational outcomes. This research project contributes to the growing body of literature on personalized learning and intelligent tutoring systems, offering new insights and practical implications for educators, researchers, and policymakers in the field of education.

Project Overview