Doctoral student, Graduate Institute of Information and Computer Education, National Taiwan Normal University, Taiwan
Degrees：
Master of art, Graduate Program of Applied Linguistics and TESOL, Department of English, National Kaohsiung University of Science and Technology, Taiwan
generative artificial intelligence in education, computational linguistics, educational technology, technology-enhanced language learning
English Journal Paper
1.
Wu, Y.-P., Feng*, H.-H., & Mau, B.-R. (2025). Didactic potential of working with DIY corpora and text mining approaches in literary translation training. The Interpreter and Translator Trainer, 19(2), 170–196. (SSCI journal)
2.
Wu, Y.-P., Mau, B.-R., Feng*, H.-H., Huang, T.-Y., Butler, P., Ruan, J.-C., & Hsieh, Y.-C. (2024). Evaluating the learning gains of incorporating digital humanities teaching strategies into literature courses: A case study. Taiwan Journal of General Education, 34, 469–503.
English Conference Paper
1.
Feng*, H.-H., Mau, B.-R., & Huang, T.-Y. (2024). To collaborate or not: The analysis of human, AI, and post-edited AI questions in reading comprehension tests. Paper presented at 2024 International Conference on Applied Linguistics and Language Teaching. Taipei, Taiwan.
2.
Wu, Y.-P., Butler*, P., Ruan, J.-C., & Mau, B.-R. (2023). Taiwan university students’ perspectives on digital humanities teaching of literature courses. Paper presented at the 14th International Conference on Digital Archives and Digital Humanities. Tainan, Taiwan.
3.
Mau, B.-R., & Feng, H.-H. (2022). Classifying rhetorical moves in medical abstracts with the XGBoost model. Paper presented at 2022 Multi-Layered Language Environment Studies International Symposium. Sapporo, Japan.
4.
Mau, B.-R., & Feng, H.-H. (2021). Improving syntactic complexity in English writing: Chatbots vs. student-teacher conferences. Paper presented at International Conference on Foreign Languages and Translation AI Mediation & Pluralistic Exploration. Kaohsiung, Taiwan.
English Book and Book Chapter
1.
Huang, M.-S., Mau*, B.-R., Lin, J.-H., & Chen, Y.-Z. (2025). Sensitive health information extraction from EMR text notes: A rule-based NER approach using linguistic contextual analysis. In J. Jonnagaddala, H.-J. Dai, & C.-T. Chen. (Eds.), Large Language Models for Automatic Deidentification of Electronic Health Record Notes (pp. 120–133). Communications in Computer and Information Science. Springer.
iPAS+ AI Application Planner (Machine Learning) — Specialist-Level Competency Certification Issued by the Industrial Technology Research Institute, Ministry of Economic Affairs, Taiwan
2.
Turing Certs Issued by AI Cup (organized by Ministry of Education, Taiwan) in collaboration with Turing Space
