Exploring a Mobile Technology-Driven Model for Intercultural Communication Education
DOI:
https://doi.org/10.3991/ijim.v18i18.51491Keywords:
intercultural communication education, mobile technology, real-time speech detection, real-time speech synthesis, educational model innovationAbstract
In the context of accelerating globalization, intercultural communication competence has become a crucial element for the success of individuals and organizations. The frequent international interactions have underscored the importance of enhancing methods for improving intercultural communication skills within the educational sector. The rapid advancement of mobile technology offers unprecedented opportunities for educational innovation. Its convenience and widespread use have made mobile device-based learning models highly attractive. Particularly, advancements in real-time speech processing technologies have provided new tools and methods for intercultural communication education. By leveraging mobile real-time speech detection and synthesis technologies, a more interactive and personalized learning experience can be achieved, thereby enhancing the efficiency and effectiveness of language learning. This study aims to explore a mobile technology-based model for intercultural communication education and is divided into three main parts: firstly, the investigation of mobile real-time speech detection technologies aimed at intercultural communication education to provide instant feedback and improvement suggestions; secondly, the exploration of mobile real-time speech synthesis technologies to generate high-quality speech samples for learners to practice against; and thirdly, the integration of the aforementioned technologies to develop a flexible, efficient, and highly interactive learning system based on mobile technology. This study is expected to not only improve the effectiveness of intercultural communication education but also provide significant references for the innovative application of educational technologies.
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Copyright (c) 2024 Nan Zhang (Submitter); Huajie Chen, Kehan Mei
This work is licensed under a Creative Commons Attribution 4.0 International License.