The School of Computer Science Presents....
Automatic Construction of Ontology with Public-Domain Datasets for Personalized Tutoring with ECA
MSc Thesis Proposal by:
Name: Asim Jamal
Date: Monday, October 2, 2023
Time: 9 AM – 10 AM
Location: Essex Hall Room 105
E-Tutoring systems have brought about a transformation in remote learning and personalized education, offering potent tools for tailored instruction. The core of a personalized tutor lies in its robust ontology and knowledge base, working seamlessly to deliver captivating educational experiences. These two integral components collaborate to empower the tutor to discern learners' needs, adapt content accordingly, and provide tailored guidance. This study introduces an automated approach for constructing an ontology utilizing publicly accessible datasets, aiming to enhance personalized tutoring through Embodied Conversational Agents (ECA). The objective is to enhance the tutoring encounter by delivering bespoke, domain-specific knowledge to learners. The approach harnesses natural language processing techniques to extract pertinent concepts and relationships from open-domain datasets. This extracted data is then leveraged to generate new ontology classes and enhance the existing ontology. This innovative methodology employs a comprehensive four-step algorithm to develop a domain ontology from a meta-ontology. This resultant ontology serves as a repository of knowledge for ECAs, empowering them to provide individualized and contextually pertinent tutoring. This proposed approach presents an automated and scalable solution for constructing ontologies within educational environments.
Internal Reader: Dr. Olena Syrotkina
External Reader: Dr. Leo Oriet
Advisor: Dr. Xiaobu Yuan