Enhancing E-Learning Platforms with AI-Driven Personalization through AI Chatbots

Pola, Subrahamanyam (2024) Enhancing E-Learning Platforms with AI-Driven Personalization through AI Chatbots. Masters thesis, Dublin, National College of Ireland.

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Abstract

More recently, with advances in technology and internet-borne learning, differentiated learning has emerged as a central focus for improving learning amongst students. This research examines the establishment of an AI-enhanced e-learning chatbot with a customized application for student learning profiles. The fundamental reason for carrying out this research is to overcome the shortcomings of the conventional e-learning systems, characterized by their inability to provide personalized and dynamic learning designs to accommodate a specific learner’s characteristics, hence providing standardized services. The study devised the chatbot through Python programming language with the support of rich NLP tools and integrated a rich set of educational references. The process of research was bureaucratized, including the procedure of data accumulation and data preparation, and NLP models to enhance the capabilities of the chatbot to answer a wide range of education-related inquiries. As discovered within this study, implementing an AI chatbot is effective in increasing user satisfaction and engagement due to the customized answers provided, which ultimately enriches the learning process. A series of tests and users’ feedback were used to assess the effectiveness of the proposed chatbot for delivering individualized educative assistance. The findings of this study can be valuable to the field of educational technology by providing an example of the use of AI in learning customization. The outcomes show that the discussed chatbot can become the missing link in e-learning solutions, helping personalize content delivered online. The study establishes that preserving and enhancing AI-based personalization is valuable and relevant to e-learning, as new advancements in technology proceed in the years to come.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Abidi, Syed UNSPECIFIED
Uncontrolled Keywords:	E-learning; AI-driven chatbot; Personalized learning; Natural language processing; Educational technology
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence P Language and Literature > P Philology. Linguistics > Computational linguistics. Natural language processing L Education > LC Special aspects / Types of education > E-Learning
Divisions:	School of Computing > Master of Science in Artificial Intelligence
Depositing User:	Ciara O'Brien
Date Deposited:	20 Jun 2025 09:45
Last Modified:	20 Jun 2025 09:45
URI:	https://norma.ncirl.ie/id/eprint/7960

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