Big Data Technology Assisted Digitalised Pedagogical Practise for University Translation Courses
Journal: Journal of Higher Education Research DOI: 10.32629/jher.v5i1.2124
Abstract
Traditional teaching approaches employed in university translation courses often yield unsatisfying results. This paper explores the integration of big data technology in the digitalized pedagogical practice for university translation courses. It examines the role of big data technology in enhancing teaching and learning outcomes in translation education; analyzes the current challenges faced by universities in terms of translation courses; and proposes strategies for leveraging big data technology to create a more interactive and personalized learning environment for students. By incorporating big data technology into pedagogical practices, universities can improve the effectiveness and efficiency of translation courses, ultimately enhancing students' language proficiency and translation skills.
Keywords
big data technology, digitalized pedagogical practice, university translation courses, language pedagogy
Funding
Guangdong Provincial Higher Education Association's "14th Five-Year Plan" 2021 Annual Higher Education Research Project, 21GYB183, Application Research of Online Grammar Teaching in Network Corpus
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References
[1] Yang, C. 2022. The Application of Artificial Intelligence in Translation Teaching In:, pp.56–60.
[2] Zhao, Y. and Liang, G. 2024. A study on the innovative model of foreign language teaching in universities using big data corpus. Journal of Computational Methods in Sciences and Engineering. 24(1), pp.87–103.
[3] Zhang, C., Yu, T., Gao, Y. and Tham, M.L. 2023. Design of a Smart Teaching English Translation System Based on Big Data Machine Learning. International Journal of Web-Based Learning and Teaching Technologies. 18(2).
[4] Xuan W, 2023. Construction of Digital Humanities Infrastructure for Translation Talent Development in the New Era. Information Systems Engineering. (12), pp.110–112.
[5] Zhao Z and Chai M n.d. Big Data Solution for Building a Large-Scale Translation Teaching Corpus. Journal of Shanghai Institute of Technology (Social Sciences)., pp.1–10.
[6] Yang H, Duan Z, and Zuo J 2023. Path of Talent Cultivation in Language Intelligence Services for English Majors under the Background of "New Liberal Arts". Journal of Jingchu Institute of Technology. 38(1), pp.44–49.
[7] He, G. 2024. An Experiment on University English Translation Teaching Model Based on Big Data-Driven Learning. Applied Mathematics and Nonlinear Sciences. 9(1).
[8] Chen H, 2023. Exploration of Digitization and Intelligence of Educational Resources. In: Proceedings of the 2023 Symposium on Educational Digitization Transformation and Intelligent Education Development by Peking University Press [Online]. Peking University Press, p.3. [Accessed 2 May 2024].
[1] Yang, C. 2022. The Application of Artificial Intelligence in Translation Teaching In:, pp.56–60.
[2] Zhao, Y. and Liang, G. 2024. A study on the innovative model of foreign language teaching in universities using big data corpus. Journal of Computational Methods in Sciences and Engineering. 24(1), pp.87–103.
[3] Zhang, C., Yu, T., Gao, Y. and Tham, M.L. 2023. Design of a Smart Teaching English Translation System Based on Big Data Machine Learning. International Journal of Web-Based Learning and Teaching Technologies. 18(2).
[4] Xuan W, 2023. Construction of Digital Humanities Infrastructure for Translation Talent Development in the New Era. Information Systems Engineering. (12), pp.110–112.
[5] Zhao Z and Chai M n.d. Big Data Solution for Building a Large-Scale Translation Teaching Corpus. Journal of Shanghai Institute of Technology (Social Sciences)., pp.1–10.
[6] Yang H, Duan Z, and Zuo J 2023. Path of Talent Cultivation in Language Intelligence Services for English Majors under the Background of "New Liberal Arts". Journal of Jingchu Institute of Technology. 38(1), pp.44–49.
[7] He, G. 2024. An Experiment on University English Translation Teaching Model Based on Big Data-Driven Learning. Applied Mathematics and Nonlinear Sciences. 9(1).
[8] Chen H, 2023. Exploration of Digitization and Intelligence of Educational Resources. In: Proceedings of the 2023 Symposium on Educational Digitization Transformation and Intelligent Education Development by Peking University Press [Online]. Peking University Press, p.3. [Accessed 2 May 2024].
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