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Erschienen in: Soft Computing 23/2023

30.09.2023 | Application of soft computing

An analytical study on the design and implementation of a comprehensive web-based learning environment for Chinese as a foreign language

verfasst von: Yongjun Zhang

Erschienen in: Soft Computing | Ausgabe 23/2023

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Abstract

This paper aims to analyze the design and application of a robust learning environment using Chinese as a foreign language in the context of web-based teaching. The study employs a carefully planned environment with cutting-edge educational technology and pedagogical techniques for comprehensive language and cultural learning. It creates a browser/server (B/S) framework for teaching Chinese as a foreign language, including system structure, logical design, database integration, and operations, respectively. Specific features like the five-tier logical framework spanning representation and business logic levels are elaborated. The research also presents a resource model that optimizes user preferences and knowledge links using an adaptive multi-objective particle swarm optimization technique, resulting in an efficient and effective learning system. Finally, this study proposes a system for Teaching and Learning Chinese as a foreign language (TCFL) that uses a client-side browser and a server-side browser. Client-side browser provides access to educational materials. Interaction and navigation by the user lead to content presentation and rendering, which displays text, videos, and interactive features. Data management and retrieval manage user requests and business logic on the server side, drawing from a data repository. The scalability and performance of the proposed TCFL system assure smooth operation, while centralized control and governance manage courses and material. The experimental assessment demonstrates the remarkable performance of the suggested TCFL system across critical criteria. The suggested system outperforms other techniques by achieving outstanding results such as increased learning efficiency of 82.4%, increased user engagement and interaction rates of 87.3%, and tailored adaptability with a customization index of 0.865 and adaptive learning rate of 89.5%. The system’s outstanding technical integration, excellent learning outcome enhancement of 82.4%, and practical pedagogical techniques highlight its complete and revolutionary design. This work marks a crucial turning point in the history of learning environments for foreigners. It covers critical language acquisition, user engagement, personalization, and adaptation by pioneering a holistic and technology-infused TCFL system. These accomplishments can change foreign language learning and provide the groundwork for future research and innovation in building global optimum and immersive learning environments for learners.

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Metadaten
Titel
An analytical study on the design and implementation of a comprehensive web-based learning environment for Chinese as a foreign language
verfasst von
Yongjun Zhang
Publikationsdatum
30.09.2023
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 23/2023
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-023-09264-9

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