Advancements and Challenges in Technology-Enhanced Foreign Language Education in China: A Comprehensive Analysis

Wanting Chen

doi:10.54691/4nrc3n06

Authors

Wanting Chen

DOI:

https://doi.org/10.54691/4nrc3n06

Keywords:

Technology in Education; Foreign Language Education; Curriculum Construction; Educational Assessment.

Abstract

In the digital era, the demand for technology in the field of education has significantly increased, with technological advancements playing a crucial role in enhancing both teaching and learning processes. This research reviews and analyzes the application of technology in foreign language education in China, focusing on various aspects such as curriculum construction, classroom teaching, student literacy development, and educational assessment. The study aims to provide a comprehensive overview of the current state of technology integration in foreign language education in Chinese context, identify existing limitations, and provide future perspectives. By examining the design, implementation, challenges, and future directions of technology-enhanced foreign language education, this research contributes to the broader understanding of how technology can be effectively leveraged to improve foreign language learning outcomes.

Downloads

Download data is not yet available.

References

[1] Timotheou, S., Miliou, O., Dimitriadis, Y., Sobrino, Sara Villagrá, Giannoutsou, N, & Cachia, R, et al. Impacts of digital technologies on education and factors influencing schools' digital capacity and transformation: a literature review. Education and Information Technologies, 1-32.

[2] Mustapha, I., Van, N. T., Shahverdi, M., Qureshi, M. I., & Khan, N.. (2021). Effectiveness of digital technology in education during covid-19 pandemic. a bibliometric analysis. International Association of Online Engineering (IAOE) (08).

[3] Huong, L. P. H., & Hung, B. P. (2021). Mediation of digital tools in english learning. Language Institute of Thammasat University. The Prachan Campus, 2 Prachan Road, Bangkok 10200 Thailand. e-mail: learnjournal@gmail.com; Web site: https://www.tci-thaijo.org/index.php/ learn (2).

[4] CAI S. (2023). The impact of ChatGPT/ Generative Artificial Intelligence on education and its countermeasures. Modern Distance Education, 2023(07), 54-59.

[5] Zhang, L., & Lu, X. (2019). The application of computerized dynamic assessment in Chinese language learning. Language Learning & Technology.

[6] Guo Hong, & Ma Lanlan. (2024). Opportunities, Challenges and Approaches of Mainstream Ideological education for college students in the Age of digital Intelligence. Journal of Xichang University (Social Science Edition), 36(3), 123-129.

[7] Qian-qian, L., & Hai-yang, L. (2018). Study on the Cultivation Model of Foreign Language Talents in Colleges and Universities of China Based on Multiple Innovative Abilities. Advances in Social Science, Education and Humanities Research, 351, 61-64.

[8] Xia Xiaoyan, Shi Hongmin, Guo Yaling, et al. An Analysis of the Teaching Principle and Top-level Design of VR Curriculum in Foreign Language Teaching from the Perspective of Embodiment [J]. Foreign Language Audio-visual Teaching,2021(2).

[9] Xia, Y., & Shin, S. (2024). Designing Personalized Learning Paths for Foreign Language Acquisition Using Big Data: Theoretical and Empirical Analysis.

[10] Ruan Xiaolei, Zhan Quanwang. Action Research on College English Curriculum Construction from the perspective of Blended Learning [J]. Foreign Language audio-visual Teaching, 2021, (5): 101-106, 15.

[11] Zhai Zheng, Wang Wenli. A practical exploration of College English Blended Teaching based on curriculum Ideological and political chain: A case study of "Media Literacy" in English General Studies [J]. Foreign language audio-visual teaching, 2021, (6): 63-67, 10.

[12] Wang Jijun, Wang Lili, Yin Panpan. Design and Practice research of Foreign Language Virtual Simulation experiment teaching project -- Taking Japanese Intercultural Communication Virtual Simulation Project as an example [J]. Foreign language audio-visual teaching, 2021, (3): 57-62, 9.

[13] Wang Jianhua, Li Runmei. Research on Language teaching based on virtual reality technology from the perspective of "meta-universe" [J]. Foreign Language audio-visual teaching, 2022, (1): 40-47, 107.

[14] Lui, M., & Slotta, J. D. (2014). Immersive simulations for smart classrooms: Exploring evolutionary concepts in secondary science. Technology, Pedagogy and Education, 23(1), 57-80.

[15] Chen Yinong, Zhang Yushuang. Study on the influence mechanism of virtual simulation experiment teaching on undergraduate foreign Language Learning Performance [J]. Foreign Language Audio-visual Teaching,2022, (3): 52-57,110.

[16] Huang Hongbing, Deng Ouxiang. Study on the current situation and optimization strategy of College English Writing MOOC in China [J]. Foreign Language Audio-Visual Teaching,2022, (4): 80-88, 120.

[17] Xie Bing, Gao Ying. Development and analysis of online peer feedback Learning Engagement Evaluation Scale for English Writing [J]. Foreign Language Audio-Visual Teaching, 2022, (5): 52-58,112.

[18] Shang Yunhe, Zheng Xinmin. Research on Foreign language MOOCs guided learning Video based on Mathematical modeling: A case study of English Writing MOOCs on Chinese university MOOC platform [J]. Foreign language audio-visual teaching, 2022, (2): 48-54, 120.

[19] Jiao Jianli, Chen Ting. Large language model enabling English teaching: four scenarios [J]. Foreign Language Audio-visual Teaching,2023, (2): 12-17,106.

[20] Lu Zhijie. Research on the model and method of automatic and accurate scoring of College Entrance Examination English composition [J]. Foreign Language Audio-visual Teaching, 2023, (6): 66-74,115.

[21] Wang Jing, Zhao Zhengting, Chai Ming. Evaluation of translation education driven by Big Data: A case study of "Translatologist" translation teaching platform [J]. Foreign Language audio-visual Teaching, 2023, (5): 19-24, 104.

[22] Xu, M., Sawaki, Y., & Xie, X. (2021). Validating the performance of an automated scoring system for English language assessment. Assessment in Education: Principles, Policy & Practice.

[23] Guo Qian, Feng Ruiling, Hua Yuanyuan. Application and potential problems of ChatGPT in English academic paper writing and teaching [J]. Foreign Language audio-visual Teaching,2023, (2): 18-23, 107.

[24] WANG Yansu, Wang Dan, Wu Lihao. A practical study on the CLIL model of enabling critical strategies in Blended foreign Language Teaching [J]. Foreign Language Audio-Visual Teaching, 2022, (3): 71-76, 113.

[25] Zhang Danyang1, Gu Xiangdong2. A study on the Ideological and Political Innovation Model of English Teacher Curriculum with the assistance of information technology -- A case study of Chinese cultural content in Multimedia and Foreign Language Teaching [J]. Foreign language audio-visual teaching, 2022, (4): 34-41,114.

[26] Deng Yunhua, Xu Qunai. An empirical study on data-driven acquisition of English color words with object constructions [J]. Foreign Language Audio-visual Teaching, 2022, (5): 59-65, 113.

[27] Hu Pingping1,2, Xia Rong3. Research on teaching effect and Influencing factors of VR assisted interpretation [J]. Foreign language audio-visual teaching, 2023, (3): 86-92, 125.