Hong Kong at The Education University of Hong Kong, Hong Kong.
Boyuan Ren is a dedicated researcher specializing in linguistics, AI-driven language learning, and educational technology. He holds a Master’s degree from Nanyang Technological University (NTU) and a Bachelor’s degree from Xi’an Jiaotong University (XJTU). His research focuses on technology-enhanced language learning, AI applications in education, and corpus-based studies. Ren has actively contributed to multiple international conferences and has published in peer-reviewed journals. With expertise in SPSS, Python, R, HTML, and Eyetracking, he integrates data science and linguistics to enhance language education. He also has experience in editing, translation, and conference organization.
Professional Profile:
ORCID Profile
Education & Experience 🎓💼
- 2022-2023 – Master’s Degree, Nanyang Technological University (NTU) 📚
- 2017-2021 – Bachelor’s Degree, Xi’an Jiaotong University (XJTU) 🎓
- Research Experience 🏫
- Researcher at Department of Linguistics and Modern Language Studies, EdUHK 🔬
- Focus on AI-driven language learning, corpus-based approaches, and pedagogical research 🖥️
- Teaching & Work Experience 🏢
- 2023 – English Editorial Intern, Foreign Language Teaching and Research Press 📖
- 2019-2020 – Translator, Enlighten International Technology & Culture Co. Ltd 🌍
Professional Development 🚀
Boyuan Ren is deeply engaged in technology-enhanced language learning and AI integration in education. As a conference secretary for TeLLT & CoLLT 2024, he plays a key role in organizing discussions on AI-assisted language education. His research extends to citizenship education, critical discourse analysis, and machine-assisted translations, emphasizing multicultural perspectives. Ren has showcased his work at international conferences, including The 8th FLLT 2024 Conference and The 3rd International Conference on Data Science and L2 Studies. His strong computational skills in SPSS, Python, R, and VOSviewer make him a valuable contributor to linguistic data science and AI-based language pedagogy.
Research Focus 🔍
Boyuan Ren’s research centers on technology-enhanced language learning, corpus linguistics, and AI-driven education. He explores how Generative AI can enhance academic writing, linguistic analysis, and language teacher training. His study on Chinese Poem Translation with Large Language Models highlights his expertise in AI-assisted literary translation. Additionally, his research on critical discourse analysis in citizenship education textbooks reflects his interest in language, identity, and multicultural perspectives. Ren is also engaged in developing professional communities for language teachers to enhance their Technological Pedagogical Content Knowledge (TPACK). His work bridges data science, linguistics, and pedagogy to create effective learning solutions.
Awards & Honors 🏆
- 2024 – Best Poster Award at The 3rd International Conference on Data Science and L2 Studies 🥇
- Conference Secretary at TeLLT & CoLLT 2024 🎤
- Published Research in Education Sciences (2024) 📄
- Presented at International Conferences in Thailand, China, and Hong Kong 🌏
- Fluent in Mandarin Chinese (Native), English, and Basic German (A1) 🌐
Publication Top Notes
Authors: WANG, Lixun; Boyuan REN
Citations: Not available yet
Year: 2024
DOI: 10.3390/educsci14121329