Haocong Cheng's Preliminary Exam
PhD student Haocong Cheng will present his dissertation proposal, "Towards Accessible Video-based Learning for Deaf and Hard-of-Hearing Learners using AI Technologies." Members of his committee are Associate Professor Yun Huang, Professor Yang Wang, Assistant Professor Nigel Bosch, and Professor of Educational Psychology and Curriculum & Instruction Robb Lindgren.
Abstract
D/deaf and Hard-of-Hearing (DHH) learners face unique challenges in video-based learning due to the complex interplay between visual and auditory information in videos; however, accessibility research in video-based learning has mainly focused on captions and interpreters, which may not address the other accessibility needs of delivering multi-modal content. Meanwhile, the growth of Artificial Intelligent technology, such as Large Language Models (LLMs), has shown new opportunities in teaching students by providing personalized support, but little is known about whether and how DHH learners could benefit from these technologies as well as their ethical concerns regarding these technologies.
This thesis explores the use of AI technologies to meet accessibility needs by DHH learners in video-based learning.
Question? Contact Haocong Cheng.