Project Abstract

Abstract
This research project focuses on the development of an Intelligent Tutoring System (ITS) tailored specifically for Computer Programming Education. The primary objective is to enhance the learning experience and outcomes of students studying programming by providing personalized and adaptive support through the utilization of artificial intelligence and machine learning techniques. The proposed ITS aims to address the challenges faced by students in mastering programming concepts and languages by offering individualized guidance, feedback, and assessment in real-time. Chapter One of the research introduces the background of the study, outlining the significance of developing an ITS for computer programming education. The problem statement identifies the existing gaps in traditional programming education methods and underscores the need for a more interactive and personalized learning approach. The objectives of the study are to design and implement an effective ITS that caters to the diverse learning needs of students, while the limitations and scope of the research frame the boundaries and focus areas of the project. Furthermore, the chapter defines key terms and provides an overview of the research structure. Chapter Two delves into an extensive literature review covering ten key areas related to intelligent tutoring systems, computer programming education, artificial intelligence in education, machine learning algorithms, personalized learning, adaptive systems, student engagement, feedback mechanisms, and assessment methods. This review sets the theoretical foundation for the development of the ITS and highlights relevant studies, frameworks, and technologies that inform the research methodology. Chapter Three outlines the research methodology, detailing the approach to designing, developing, and evaluating the ITS. It encompasses eight components, including system requirements analysis, data collection methods, system design and architecture, algorithm selection, implementation strategies, testing procedures, evaluation metrics, and user feedback mechanisms. The chapter elucidates the iterative nature of the development process and the importance of user-centered design principles in creating an effective and user-friendly ITS. In Chapter Four, the discussion of findings provides a comprehensive analysis of the ITS implementation, user feedback, and evaluation results. It examines the effectiveness of the system in improving student learning outcomes, engagement levels, and programming proficiency. The chapter also explores challenges encountered during the development phase and proposes recommendations for future enhancements and research directions to further optimize the ITS performance. Chapter Five serves as the conclusion and summary of the research project, encapsulating the key findings, contributions, and implications of developing an Intelligent Tutoring System for Computer Programming Education. It reflects on the significance of personalized and adaptive learning environments in enhancing student success and outlines potential applications of the ITS in broader educational contexts. The research concludes with a call to action for continued innovation and research in leveraging AI technologies to transform programming education for the digital age. Overall, this research project seeks to advance the field of computer programming education by introducing an innovative Intelligent Tutoring System that empowers students with personalized support and guidance, ultimately fostering a more engaging and effective learning experience.

Project Overview

The project topic "Development of an Intelligent Tutoring System for Computer Programming Education" aims to address the growing demand for effective and personalized learning experiences in computer programming education. In recent years, the field of computer programming has seen significant growth, with more individuals seeking to acquire programming skills for various purposes such as software development, data analysis, and automation. However, traditional classroom settings often struggle to cater to the diverse needs and learning paces of students, leading to challenges in knowledge retention and skill development. To overcome these limitations, the proposed project focuses on the design and implementation of an Intelligent Tutoring System (ITS) tailored specifically for computer programming education. An ITS is an advanced educational technology that utilizes artificial intelligence and machine learning algorithms to provide personalized learning experiences to individual students. By analyzing student performance data, identifying learning patterns, and adapting instructional strategies in real-time, an ITS can offer tailored feedback, guidance, and resources to enhance student learning outcomes. The key objectives of this research project include designing an intuitive and user-friendly interface for the ITS, developing adaptive learning algorithms that can assess student progress and adjust instructional content accordingly, and evaluating the effectiveness of the system in improving student performance and engagement in computer programming courses. By leveraging the power of technology and data-driven insights, the ITS aims to provide a more interactive, engaging, and personalized learning experience for students, ultimately enhancing their proficiency in computer programming skills. This research project contributes to the field of computer education by exploring innovative approaches to instructional design and delivery in the context of programming education. By harnessing the capabilities of artificial intelligence and machine learning, the ITS offers a promising solution to the challenges faced in traditional classroom settings, providing students with a dynamic and adaptive learning environment that caters to their individual needs and preferences. Through rigorous testing and evaluation, this research aims to demonstrate the potential impact of intelligent tutoring systems on enhancing student learning outcomes and shaping the future of computer programming education.