dc.description.abstract |
With the rise of international Chinese education and the support of information technology and smart devices, the flipped classroom approach is increasingly being employed in the teaching of Chinese as a second language. However, despite the flexibility provided by flipped classrooms, common issues have emerged in practical applications, such as surface-level learning and inefficiency. The introduction of the "deep learning" theory contributes to addressing these challenges. Deep learning emphasizes students' active engagement and critical thinking in knowledge acquisition and application. It encourages students to ask questions, actively explore, analyze information, and apply Chinese in complex contexts. This theoretical framework aligns with the core principles of flipped classrooms. This study aims to explore a more effective and practical teaching model for international Chinese flipped Classroom instruction from the perspective of deep learning theory.The study focuses on 22 international students in a language preparatory program at Capital University of Economics and Business. It emphasizes the development of effective strategies and pathways for international student flipped classroom Instruction under the theoretical perspective of deep learning.Firstly, through bibliometric analysis and qualitative analysis, a systematic review of the application of deep learning and flipped classrooms in international Chinese teaching was conducted. The research revealed that current teaching designs and implementations are some what one-sided, lacking adequate support from deep learning activities, and the assessment methods are relatively limited.Secondly, an investigation of international students' deep learning abilities revealed significant deficiencies, particularly in innovative thinking and the integration of cultural understanding.Based on these findings, this study constructed a teaching design model that combines deep learning with flipped classrooms. Key elements of this model include goal-oriented cultivation of higher-order cognitive abilities, collaborative online and offline content design, active participation, deep learning activities, and comprehensive assessment of the learning process and communicative application.Through two rounds of teaching experiments, the study found that this model effectively enhances students' learning engagement and quality. Students made significant progress in knowledge acquisition and higher-order skill development, and they expressed high satisfaction with the teaching process.Inconclusion, this research provides a novel perspective for flipped classroom instruction in international Chinese education by integrating it with deep learning theory. The results demonstrate that by optimizing teaching design and implementation, the issue of "surface-levelinefficiency" in blended learning can be effectively addressed, providing robust theoretical and practical support for enhancing the quality and effectiveness of international Chinese education. |
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