基于MOOC人工智能的大学英语跨文化知识O2O教学体系构建研究

IF 1.5 Q2 COMPUTER SCIENCE, THEORY & METHODS

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-01-01 DOI:10.3233/JIFS-219138

Min Li, Hefa Lv

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引用次数: 5

摘要

本文引入基于mooc的大学英语跨文化知识O2O教学系统，通过组合优化适应度函数和社会进化算子的数据分析，完善传统英语教学的3P模式。首先，通过分析和总结大量国内外文献和研究成果，建立基于mooc的大学英语跨文化知识O2O教学体系的构建方案。此外，本文对基于mooc的大学英语跨文化知识O2O教学体系的构建模式进行了研究，并最终建立了教学体系，得出高校在英语学习中应重视文化差异，重视大学生跨文化知识的培养。具体路径是线上教育与线下教育相结合，共同发展，从而提高大学生的英语学习能力和实践能力。综上所述，在大学英语教学中，我们应该重视英语跨文化知识的教育，跨文化知识的O2O模式可以在MOOC环境下将3P教学模式与在线教育模式相结合，在建构主义的指导下促进教育方式的创新和发展，从而提高学生的英语水平。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A study on the construction of O2O teaching system of college English cross-cultural knowledge based on MOOC artificial intelligence

In this paper, MOOC-based O2O Teaching System for college English cross - cultural knowledge is introduced to improve the 3P model of traditional English teaching through data analysis of the combined and optimized fitness function and social evolution operator. First, through analyzing and summarizing a large number of domestic and foreign literatures and research results, the construction scheme of MOOC-based O2O Teaching System for college English cross-cultural knowledge was established. Moreover, this paper studies the construction mode of MOOC-based O2O Teaching System for college English cross-cultural knowledge and finally establishes the teaching system, and concludes that colleges and universities should pay attention to the cultural difference in English learning, and emphasis on the cultivation of college student cross-cultural knowledge. The specific path is online education combined with offline education for common development, thereby enhancing college students’ English learning ability and practical ability. To sum up, in college English teaching, we should pay attention to the education of English cross-cultural knowledge, O2O mode for cross-cultural knowledge can be used to combine 3P teaching mode and online education mode in MOOC environment, promoting innovation and development of educational methods under the guidance of the constructivism, so as to improve students’ English proficiency.

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来源期刊

International Journal of Fuzzy Logic and Intelligent Systems COMPUTER SCIENCE, THEORY & METHODS-

CiteScore

2.80

自引率

23.10%

发文量

期刊介绍： The International Journal of Fuzzy Logic and Intelligent Systems (pISSN 1598-2645, eISSN 2093-744X) is published quarterly by the Korean Institute of Intelligent Systems. The official title of the journal is International Journal of Fuzzy Logic and Intelligent Systems and the abbreviated title is Int. J. Fuzzy Log. Intell. Syst. Some, or all, of the articles in the journal are indexed in SCOPUS, Korea Citation Index (KCI), DOI/CrossrRef, DBLP, and Google Scholar. The journal was launched in 2001 and dedicated to the dissemination of well-defined theoretical and empirical studies results that have a potential impact on the realization of intelligent systems based on fuzzy logic and intelligent systems theory. Specific topics include, but are not limited to: a) computational intelligence techniques including fuzzy logic systems, neural networks and evolutionary computation; b) intelligent control, instrumentation and robotics; c) adaptive signal and multimedia processing; d) intelligent information processing including pattern recognition and information processing; e) machine learning and smart systems including data mining and intelligent service practices; f) fuzzy theory and its applications.