Addressing Language and User-Interaction Through YouTube Based on Deep Learning

This study explores the challenges and opportunities presented by online learning, emphasizing the need to overcome language barriers, fragmented content, and lack of real-time interaction that often hinder its effectiveness. Through detailed surveys and analyses, it identifies key issues impacting...

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Bibliographic Details
Main Authors: Lin, Yu-Xiang, Cheng, Xue-Yuan, Tan, Kai-Wen, Syu, Yun-Yang, Hsieh, Yi-Zeng
Format: Conference Proceeding
Language:English
Subjects:
Chatbots
ChatGPT
Computational modeling
Computers
deep learning
Face recognition
LLM
Surveys
Text recognition
Video on demand
Youtube video
Online Access:Request full text
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Summary:This study explores the challenges and opportunities presented by online learning, emphasizing the need to overcome language barriers, fragmented content, and lack of real-time interaction that often hinder its effectiveness. Through detailed surveys and analyses, it identifies key issues impacting learners from diverse linguistic and cultural backgrounds in the context of globalization. Solutions to enhance online learning quality, such as improved accessibility and interactivity, are proposed. Additionally, the development of a Chrome extension specifically designed for YouTube educational videos is discussed. This extension, which can potentially be expanded to other platforms, aims to increase learning efficiency and interactive engagement by adapting to various user needs and technological interfaces.
ISSN:2833-2350
DOI:10.1109/ICCCI62159.2024.10674487