Project Abstract

Abstract
The field of education has witnessed significant advancements with the integration of technology into traditional teaching methods. In particular, the development of Intelligent Tutoring Systems (ITS) has revolutionized the way students learn and interact with educational materials. This research project focuses on the design and implementation of an Intelligent Tutoring System for Computer Programming Education, aiming to enhance the learning experience and improve student performance in programming courses. The introduction provides an overview of the research topic, highlighting the growing importance of computer programming skills in the digital age. The background of the study explores the evolution of Intelligent Tutoring Systems and their applications in various educational domains. The problem statement identifies the challenges faced by students in learning computer programming and the limitations of existing teaching methods. The objectives of the study outline the goals and outcomes expected from the development of the Intelligent Tutoring System. The scope of the study defines the boundaries and focus areas of the research, while the limitations acknowledge any constraints or barriers that may impact the project. The literature review in Chapter Two presents a comprehensive analysis of existing studies and research findings related to Intelligent Tutoring Systems, computer programming education, and instructional design principles. The review covers key topics such as personalized learning, adaptive feedback mechanisms, and the effectiveness of ITS in improving student outcomes. Chapter Three details the research methodology employed in the development of the Intelligent Tutoring System, including the design process, data collection methods, and evaluation criteria. The methodology incorporates user-centered design principles, iterative prototyping, and usability testing to ensure the effectiveness and usability of the system. Chapter Four presents a detailed discussion of the findings obtained from the implementation and testing of the Intelligent Tutoring System. The chapter analyzes the effectiveness of the system in enhancing student learning outcomes, improving programming skills, and providing personalized feedback and support to learners. The discussion also addresses any challenges encountered during the development process and proposes recommendations for future enhancements and refinements. In the concluding Chapter Five, the research project is summarized, and key findings are highlighted. The conclusion reflects on the significance of the Intelligent Tutoring System for Computer Programming Education and its potential impact on enhancing the learning experience for students. The research contributes to the growing body of knowledge on technology-enhanced learning and provides valuable insights for educators, instructional designers, and developers working in the field of educational technology. Overall, this research project aims to bridge the gap between traditional teaching methods and modern technological advancements by developing an Intelligent Tutoring System tailored to the needs of computer programming education. The project underscores the importance of personalized learning experiences, adaptive feedback mechanisms, and interactive tools in improving student engagement and performance in programming courses.

Project Overview