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Data Analytics and Research on Quantitative Analysis in College English Teaching

Received: 16 May 2024     Accepted: 4 July 2024     Published: 8 July 2024
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Abstract

College English is a compulsory course of Non-English majors. It is not only a basic course to learn language, but also to expand knowledge and know global cultures. College English, guided by foreign language teaching theory, mainly involves English knowledge and practical skills, cross-cultural communication and learning strategy. Its instructional goal is to train students’ comprehensive and practical ability, especially their listening and speaking skills. Thus, they can communicate with others in English in their study, work and social intercourse, increase their capacity of independent study and overall cultural awareness, so as to fit well with the demands of national development and international exchange. It is a tool with cultural connotation. Thus, we must take full consideration of training students’ cultural awareness and teaching worldwide cultural knowledge while designing the college English courses. That means College English Curriculum Requirements attach importance to culture. It is an irresistible trend that language and culture is of equal significance. Therefore, Teachers must enhance their cultural cultivation, store cross-culture knowledge and draw lessons from advanced teaching theory. Through various teaching and extracurricular activities, they should enhance students’ awareness of cross-culture and communication competence, as well as the cognition and unde rstanding of different countries and cultures. In this way, we can cultivate graduates with both solid professional foundation and ability of international exchange. At the same time, College English teachers must have digital awareness and collect true data in teaching, using effective data to do quantitative research and analysis, such as One-Sample T Test, Independent - Samples T Test, Paired - Samples T Test, One - Way ANOVA, Correlation Analysis, Factor Analysis and so on. So that College English teachers can solve the problems effectively in teaching by data analysis.

Published in Higher Education Research (Volume 9, Issue 4)
DOI 10.11648/j.her.20240904.11
Page(s) 70-81
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Data Analytics, Quantitative Research, College English Teaching, Digital Awareness

References
[1] Ma Xiulin, Professional Development of Teachers in the Information Age [M]. Beijing Normal University Press, 2017.
[2] Zeyi Yang. Models and application on university subjects and students data analysis using multiple data mining strategies method [D]. Lanzhou: Lanzhou university, 2018. P III.
[3] Ma Xiulin, Quantitative Research & SPSS Data Analysis [M]. Beijing Normal University Press, 2020. P3.
[4] FU Yuan-hui, HE Jin-sheng, Exploring the Connotation of Ideological and Political Education for Selection of Statistical Methods and Implementation of SPSS [J]. Education And Teaching Forum, Issue 5, 2024, P165.
[5] Li Wei, Zhan Kaimin, Research on the Mechanism and Implementation Path of Digital Development in Higher Education [J]. Journal of Heilongjiang Institute of Teacher Development, Volume 43, Issue 5, 2024, P68.
[6] Xue wei, Statistical Analysis and SPSS Application [M]. Renmin University of China Press, 2017. P108.
[7] Li Changjun, Jia Jucai, Exploration of the "343" Teaching Model on The Development of SPSS Statistics Course in the Context of New Liberal Arts [J]. Hei Longjiang Education (Theory & Practice), Issue 3, 2024, P42.
[8] Zhang Yimin, Application of SPSS in Teaching Probability Theory and Mathematical Statistics [J]. Studies in College Mathematics, Issue 5, 2023, P57.
[9] Yan Hao, The Application Clustering Analysis Based on SPSS in Industry Statistical Data [D]. Jilin University, 2013, P37.
[10] Zhang Liaohong, Selection of Statistical Analysis Methods Based on Disordered Multi-classification Data and Complication by SPSS Software [J]. Journal of Changchun Norman University, Issue 12, 2023, P113.
[11] Wang Panhua, The Development of Textbook Based on Case-Based Teaching [D]. Central China Normal University, 2014, P2.
[12] LU Jing, The Opportunities, Challenges and Paths of College English Teaching Reform in the Digital Era [J]. Journal of Shandong Agricultural Engineering College, Volume 40, Issue 8, 2023, P125.
[13] SUN Lin, SONG Xin, Research on Quantitative Analysis of SWOT Based on M-learning in College English Teaching [J]. Journal of Dalian Minzu University, Volume 19, Issue 6, 2017, P42.
[14] Feng Xin, Analysis of Factors Influencing the Generation of English Classroom Teaching with a Focus on Critical Thinking Ability [J]. Journal of Xi’an International Studies University, Issue 6, 2015, P83.
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    Shan, R. (2024). Data Analytics and Research on Quantitative Analysis in College English Teaching. Higher Education Research, 9(4), 70-81. https://doi.org/10.11648/j.her.20240904.11

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    ACS Style

    Shan, R. Data Analytics and Research on Quantitative Analysis in College English Teaching. High. Educ. Res. 2024, 9(4), 70-81. doi: 10.11648/j.her.20240904.11

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    AMA Style

    Shan R. Data Analytics and Research on Quantitative Analysis in College English Teaching. High Educ Res. 2024;9(4):70-81. doi: 10.11648/j.her.20240904.11

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  • @article{10.11648/j.her.20240904.11,
      author = {Ronglin Shan},
      title = {Data Analytics and Research on Quantitative Analysis in College English Teaching
    },
      journal = {Higher Education Research},
      volume = {9},
      number = {4},
      pages = {70-81},
      doi = {10.11648/j.her.20240904.11},
      url = {https://doi.org/10.11648/j.her.20240904.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.her.20240904.11},
      abstract = {College English is a compulsory course of Non-English majors. It is not only a basic course to learn language, but also to expand knowledge and know global cultures. College English, guided by foreign language teaching theory, mainly involves English knowledge and practical skills, cross-cultural communication and learning strategy. Its instructional goal is to train students’ comprehensive and practical ability, especially their listening and speaking skills. Thus, they can communicate with others in English in their study, work and social intercourse, increase their capacity of independent study and overall cultural awareness, so as to fit well with the demands of national development and international exchange. It is a tool with cultural connotation. Thus, we must take full consideration of training students’ cultural awareness and teaching worldwide cultural knowledge while designing the college English courses. That means College English Curriculum Requirements attach importance to culture. It is an irresistible trend that language and culture is of equal significance. Therefore, Teachers must enhance their cultural cultivation, store cross-culture knowledge and draw lessons from advanced teaching theory. Through various teaching and extracurricular activities, they should enhance students’ awareness of cross-culture and communication competence, as well as the cognition and unde rstanding of different countries and cultures. In this way, we can cultivate graduates with both solid professional foundation and ability of international exchange. At the same time, College English teachers must have digital awareness and collect true data in teaching, using effective data to do quantitative research and analysis, such as One-Sample T Test, Independent - Samples T Test, Paired - Samples T Test, One - Way ANOVA, Correlation Analysis, Factor Analysis and so on. So that College English teachers can solve the problems effectively in teaching by data analysis.
    },
     year = {2024}
    }
    

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  • TY  - JOUR
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    AU  - Ronglin Shan
    Y1  - 2024/07/08
    PY  - 2024
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    AB  - College English is a compulsory course of Non-English majors. It is not only a basic course to learn language, but also to expand knowledge and know global cultures. College English, guided by foreign language teaching theory, mainly involves English knowledge and practical skills, cross-cultural communication and learning strategy. Its instructional goal is to train students’ comprehensive and practical ability, especially their listening and speaking skills. Thus, they can communicate with others in English in their study, work and social intercourse, increase their capacity of independent study and overall cultural awareness, so as to fit well with the demands of national development and international exchange. It is a tool with cultural connotation. Thus, we must take full consideration of training students’ cultural awareness and teaching worldwide cultural knowledge while designing the college English courses. That means College English Curriculum Requirements attach importance to culture. It is an irresistible trend that language and culture is of equal significance. Therefore, Teachers must enhance their cultural cultivation, store cross-culture knowledge and draw lessons from advanced teaching theory. Through various teaching and extracurricular activities, they should enhance students’ awareness of cross-culture and communication competence, as well as the cognition and unde rstanding of different countries and cultures. In this way, we can cultivate graduates with both solid professional foundation and ability of international exchange. At the same time, College English teachers must have digital awareness and collect true data in teaching, using effective data to do quantitative research and analysis, such as One-Sample T Test, Independent - Samples T Test, Paired - Samples T Test, One - Way ANOVA, Correlation Analysis, Factor Analysis and so on. So that College English teachers can solve the problems effectively in teaching by data analysis.
    
    VL  - 9
    IS  - 4
    ER  - 

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Author Information
  • School of Foreign Languages, Sichuan Minzu College, Kangding, China

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