Digital Repository

AllyArc: An Integrated Approach to Special Education using Large Language Models and Human-Centric Reinforcement Learning

Show simple item record

dc.contributor.author Fahim, Zainab
dc.date.accessioned 2025-06-17T07:39:45Z
dc.date.available 2025-06-17T07:39:45Z
dc.date.issued 2024
dc.identifier.citation Fahim, Zainab (2024) AllyArc: An Integrated Approach to Special Education using Large Language Models and Human-Centric Reinforcement Learning. BSc. Dissertation, Informatics Institute of Technology en_US
dc.identifier.issn 20210482
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/2623
dc.description.abstract "This research study aims to investigate and identify effective strategies and tools for tracking and documenting the progress of autistic students in traditional inclusive classroom settings. The primary objective of the study is to address the challenges faced by educators in terms of enhancing the social, creative, and communication skills of autistic students. A mixed-methods approach was employed, including literature review, case studies, interviews, and surveys, to gather comprehensive data on the most pressing challenges faced by educators in teaching autistic students. This approach enabled the research team to gain a deeper understanding of the situation and identify the key areas of concern. Subsequently, a variety of research, design, development, and evaluation methodologies were implemented to filter the most efficient solutions. These solutions were developed and implemented with the goal of supporting educators in their efforts to enhance the social, creative, and communication skills of autistic students. Furthermore, the study explores the potential of assistive technologies, such as conversational AI, AI art generators, NLP techniques, and transformer-based language models, to support the language and communication development of 7-12-year-old autistic children. These solutions are developed to improve the classroom experience for the students and teachers alike. The findings of this study furnish insights on ways to systematically monitor and document the progress of autistic students and bolster their language and communication skills through assistive technologies in traditional classroom settings, thus bridging the gap in current research in this area. Keywords: Autism, Inclusive Education, Teaching, Assistive Technology, Social, Creative, Communication Skills, Language and Communication development, conversational AI, AI art generator, NLP, Transformer-based Language model" en_US
dc.language.iso en en_US
dc.subject AI Agents en_US
dc.subject Special Education en_US
dc.subject Reinforcement Leaning en_US
dc.title AllyArc: An Integrated Approach to Special Education using Large Language Models and Human-Centric Reinforcement Learning en_US
dc.type Thesis en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search


Advanced Search

Browse

My Account