基于产出导向法的能源研究生学术英语写作教学模式研究
The Teaching Model of Academic English Writing for Energy Postgraduates Based on the Production-Oriented Approach
DOI: 10.12677/ml.2026.14101002, PDF,    科研立项经费支持
作者: 周英莉, 贾培培, 孟 钊:中国矿业大学(北京)文法学院,北京
关键词: 产出导向法;学术英语写作;能源学科;AI辅助;Production-Oriented Approach; Academic English Writing; Energy Discipline; AI Assistance
摘要: 为提升能源专业研究生学术英语写作能力,本研究以产出导向法(POA)为主线,融合能源学科语篇特征与AI辅助工具,构建“驱动–促成–评价”三阶段教学模式,并在某211理工大学63名能源方向硕士研究生中开展教学实践,通过教学前、中、后三个时点的问卷调查与教学反思进行实证检验。结果表明:三阶段教学流程获得93.65%的学生认可,能有效暴露能力缺口、促成内容产出;学科语篇支架获得88.89%的正面评价,显著提升学生的学术体裁意识与写作规范感知;写作过程支持呈“语言–结构–内容”分层格局;“师生合作评价 + AI辅助反馈”的多源评价机制获得84.13%的认可。研究构建了“POA + 学科特色 + AI辅助”三位一体的教学模式,为能源专业研究生学术英语写作教学改革提供了模式参照与实证依据。
Abstract: To improve the academic English writing competence of postgraduate students majoring in energy, this study adopts the Production-Oriented Approach (POA) as the main framework. Integrating the discursive features of energy disciplinary texts and AI-assisted tools, it constructs a three-stage teaching model of “motivating-enabling-assessing”. Teaching practice was carried out among 63 master’s students in energy-related majors at a certain 211 university of science and technology. Empirical verification was conducted through questionnaire surveys and teaching reflections collected at pre-class, mid-class and post-class stages. The results show that 93.65% of students approved of the three-stage teaching workflow, which can effectively reveal competence gaps and facilitate content production. The disciplinary discourse scaffolding received positive feedback from 88.89% of respondents, significantly enhancing students’ awareness of academic genres and perception of writing norms. The supports throughout the writing process follow a hierarchical pattern of “language-structure-content”. The multi-source assessment mechanism combining “teacher-student collaborative evaluation and AI-assisted feedback” gained an approval rate of 84.13%. This research establishes a three-in-one teaching model of “POA + disciplinary characteristics + AI assistance”, providing a model reference and empirical evidence for the pedagogical reform of academic English writing for energy postgraduates.
文章引用:周英莉, 贾培培, 孟钊. 基于产出导向法的能源研究生学术英语写作教学模式研究[J]. 现代语言学, 2026, 14(10): 352-361. https://doi.org/10.12677/ml.2026.14101002

参考文献

[1] 蔡基刚. 再论我国大学英语教学发展方向: 通用英语和学术英语[J]. 浙江大学学报(人文社会科学版), 2015, 45(4): 83-94.
[2] Hyland, K. (2019) English for Academic Purposes: An Advanced Resource Book. 2nd Edition, Routledge.
[3] 蔡基刚. 关于我国大学英语教学重新定位的思考[J]. 外语教学与研究, 2010, 42(4): 306-308.
[4] 周英莉, 许卉艳, 裔文军, 等. 语法隐喻理论视角下能源英语写作教学模式研究[J]. 中国ESP研究, 2021(4): 59-68, 101.
[5] 李韬, 赵雯. 国内学术英语研究述评[J]. 外语电化教学, 2019(3): 22-27.
[6] 陈琦, 朱元, 杨瑞英. 研究生学术英语课程的行动研究[J]. 中国ESP研究, 2019(2): 10-21, 124-125.
[7] 文秋芳. 构建“产出导向法”理论体系[J]. 外语教学与研究, 2015, 47(4): 547-558, 640.
[8] 章木林, 郭泉江. 学术英语写作中学习迁移与能动性投入的交互模型研究[J]. 外语界, 2025(6): 67-74.
[9] Kohnke, L., Moorhouse, B.L. and Zou, D. (2023) ChatGPT for Language Teaching and Learning. RELC Journal, 54, 537-550.
https://doi.org/10.1177/00336882231162868
[10] Hutchinson, T. and Waters, A. (1987) English for Specific Purposes: A Learning-Centred Approach. Cambridge University Press.
[11] Swales, J.M. (1990) Genre Analysis: English in Academic and Research Settings. Cambridge University Press.
[12] Dudley-Evans, T. and St John, M.J. (1998) Developments in English for Specific Purposes: A Multi-Disciplinary Approach. Cambridge University Press.
[13] Hyland, K. (2005) Metadiscourse: Exploring Interaction in Writing. Continuum.
[14] Hyland, K. (2008) Teaching and Researching Writing. 2nd Edition, Pearson.
[15] 蔡基刚. ESP与我国大学英语教学发展方向[J]. 外语界, 2004(2): 22-28.
[16] 胡开宝, 谢丽欣. 我国大学英语教学的未来发展方向研究[J]. 外语界, 2014(3): 12-19, 36.
[17] 王守仁. 《大学英语教学指南》要点解读[J]. 外语界, 2016(3): 2-10.
[18] 周梅. 项目驱动下理工科博士生英语学术交流能力的培养——一项基于“国际学术交流英语”课程的实证研究[J]. 中国ESP研究, 2019(2): 100-110, 129.
[19] 郭茜, 冯瑞玲, 华远方. ChatGPT在英语学术论文写作与教学中的应用及潜在问题[J]. 外语电化教学, 2023(2): 18-23, 107.
[20] 焦建利, 陈婷. 大型语言模型赋能英语教学: 四个场景[J]. 外语电化教学, 2023(2): 12-17, 106.
[21] 冯庆华, 张开翼. 人工智能辅助外语教学与研究的能力探析——以ChatGPT-4o和文心大模型4.0为例[J]. 外语电化教学, 2024(3): 3-12.
[22] 任伟, 刘远博, 解月. 英语写作教学中ChatGPT与教师反馈的对比研究[J]. 外语教学理论与实践, 2024(4): 30-38, 60.
[23] Halliday, M.A.K. and Martin, J.R. (1993) Writing Science: Literacy and Discursive Power. Falmer.
[24] Davis, F.D. (1989) Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13, 319-340.
https://doi.org/10.2307/249008
[25] 王树胜, 王俊菊. 动机驱动的AI赋能外语学习接受度研究——基于技术接受模型[J]. 外语电化教学, 2024(6): 23-29, 108.
[26] Barrot, J.S. (2023) Using ChatGPT for Second Language Writing: Pitfalls and Potentials. Assessing Writing, 57, Article ID: 100745.
https://doi.org/10.1016/j.asw.2023.100745
[27] Sweller, J. (1988) Cognitive Load during Problem Solving: Effects on Learning. Cognitive Science, 12, 257-285.
https://doi.org/10.1207/s15516709cog1202_4
[28] 朱小超, 柳华妮. ChatGPT在外语过程体裁写作教学中的应用路径研究[J]. 外语电化教学, 2024(6): 30-36.
[29] Mizumoto, A. and Eguchi, M. (2023) Exploring the Potential of Using an AI Language Model for Automated Essay Scoring. Research Methods in Applied Linguistics, 2, Article ID: 100050.
https://doi.org/10.1016/j.rmal.2023.100050