DESIGNING AI-ENHANCED TEACHING PRODUCTS FOR UNIVERSITY OMO CLASSROOMS
Year: 2024
Editor: Grierson, Hilary; Bohemia, Erik; Buck, Lyndon
Author: Ren, Zixin; Li, Yuxi; Fan, Fei*; Gong, Huaping*
Series: E&PDE
Institution: Tongji University,Shanghai, China
Page(s): 91 - 96
DOI number: 10.35199/EPDE.2024.16
ISBN: 978-1-912254-200
ISSN: 3005-4753
Abstract
The purpose of this paper is to study the current situation of the OMO (Online-Merge-Offline) teaching model in universities and propose solutions. Although there are numerous studies on the analysis and design of OMO learning environments, few have assessed their effectiveness from the perspective of enhancing design quality. Based on the Social Presence Theory and Quality Function Deployment method, the study identifies the pain points and needs of university students and teachers in the OMO model and conducts functional transformation of user needs in terms of offline terminals and online teaching platforms. The paper presents a set of OMO classroom AI-enhanced teaching interaction products that can improve teaching convenience, presence perception, and student engagement. These products aim to provide a reference for improving OMO teaching interaction quality and applying emerging technology in real-world scenarios.
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