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2024年12月1日 星期日

Design and implementation of a simulation-based learning system for international trade

 國際貿易模擬學習系統的設計與實施


摘要

In the traditional instructional method used in international trade, teachers provide knowledge to learners by lecturing using slides and setting assignments; however, these methods merely deliver international trade knowledge rather than facilitating student development of relevant skills. To solve these problems, we proposed a simulation-based learning system for international trade, combining international trade-process simulation and business letter writing. We investigated learner opinions toward the system and the quality of business letters by using quantitative and qualitative analyses. Regarding the results, learners perceived that the proposed system improved their knowledge of international trade and business English.

作者關鍵字

Instructional technologyInternational tradeSimulation-based learningUsability studies

項目 內容摘要 翻譯
研究目的 To design a simulation-based learning system for international trade that integrates process simulation and business letter writing, aiming to improve learners’ knowledge and skills. 設計一個整合流程模擬與商業書信撰寫的國際貿易模擬學習系統,旨在提升學習者的知識與技能。
研究問題 1. How does the system improve learners' understanding of international trade processes?2. What impact does the system have on learners' business English writing skills? 1. 該系統如何提升學習者對國際貿易流程的理解?2. 該系統對學習者的商業英語寫作技能有何影響?
研究方法 - Participants: College students learning international trade.- Tools: Simulation-based learning system.- Data Collection: Surveys and qualitative assessments of business letters. - 參與者:學習國際貿易的大學生。- 工具:模擬學習系統。- 資料收集:問卷調查及商業書信的質性評估。
主要結果 1. Students reported an enhanced understanding of international trade processes.2. Business letters showed improvement in structure and accuracy after system usage. 1. 學生表示對國際貿易流程的理解有所提升。2. 使用系統後,商業書信的結構與準確性有所改進。
研究限制 - Focused on a specific group of college students.- Limited evaluation of long-term skill retention.- Usability limited to certain trade scenarios. - 僅針對特定大學生群體。- 長期技能保持的評估有限。- 系統使用場景局限於某些貿易場景。
未來研究方向 1. Expand the system to include diverse trade scenarios.2. Conduct longitudinal studies to measure long-term impacts.3. Integrate AI to enhance adaptability and feedback. 1. 擴展系統至多樣化的貿易場景。2. 開展縱向研究以評估長期影響。3. 結合人工智慧以提升適應性與反饋機制。

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Cite Article

Luo, G.-H., Liu, E. Z.-F., Kuo, H.-W., & Yuan, S.-M. (2014). Design and implementation of a simulation-based learning system for international trade. The International Review of Research in Open and Distributed Learning, 15(1), 50–69. Retrieved from https://www.irrodl.org/index.php/irrodl/article/view/1666/2772

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