Intelligent Tutoring Systems and Personalized Learning: A Thorough Secondary Research Examination
Keywords:
Intelligent Tutoring Systems, Artificial Intelligence in Education, Personalized Learning, Adaptive Instruction, Ethical AI, Educational TechnologyAbstract
Intelligent Tutoring Systems (ITS) have become one of the most significant applications of artificial intelligence (AI) within the educational sector. Their potential lies in providing tailored instruction that replicates the benefits of a human tutor while ensuring scalability and accessibility. This research paper offers an in-depth analysis of ITS and their contribution to improving personalized education. Utilizing secondary research, it assesses the historical development of ITS, fundamental architectural elements, personalization strategies, pedagogical principles, and empirical data regarding their efficacy. Additionally, it addresses challenges such as data security, algorithmic bias, implementation expenses, and the integration of teachers with AI. The paper concludes by discussing the implications for future advancements and research, spotlighting the necessity for ethical, pedagogically sound, and human-centered AI systems in education.
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