Abstract
To address the challenges of outdated resources, monotonous teaching methods, and insufficient personalized support in the traditional teaching of Energy and Power English reading, writing, and translation, and to meet the industry’s demand for compound translation talents, this study adopts the Chaoxing Learning Platform as the practice platform to explore application paths and effects of smart teaching platforms. Using a “literature research – case analysis – empirical verification” approach, it constructs a hybrid teaching model of “platform empowerment – task-driven – scenario simulation,” designs three application scenarios—classroom teaching, after-class autonomous learning, and practical projects—and establishes a diversified evaluation system combining “quantitative + qualitative” and “process + result.” Empirical results show that, compared with traditional teaching, the platform significantly improves students’ translation competence: the accuracy rate of professional terms increases from 58% to 89%, and the semantic deviation rate decreases from 32% to 12%. At the same time, it optimizes learning efficiency and experience. This study provides practical support for the intelligent reform of ESP translation teaching and for cultivating internationally oriented talents in the energy and power sector.
References
[1] Wang W, 2017, Analysis of Strategic Models of Power Enterprises in Overseas Markets. Science & Technology Horizon, (24): 145-146.
[2] Liu XP, 2018, The Role and Impact of Translation Theory in Translation Teaching. Frontiers of Social Sciences, (5): 97-102.
[3] Li CL, 2020, Construction and Practice of a Diversified Evaluation System for English Translation Teaching. English Teaching and Research, (10): 186-187.
[4] Cao RS, 2019, A Study of Methods for Translating Scientific and Technical Texts: Taking Energy and Power English as an Example. Translation Studies, (3): 45-50.
[5] Xu C, Zheng CP, 2019, A Study on the Lack of Professional Knowledge in Energy and Power Translation. Foreign Languages, (2): 78-84.
[6] Cao RS, 2020, The Effectiveness of Translation Techniques in Handling Long and Complex Sentences in Energy and Power English. Science and Technology English Translation, (1): 34-39.
[7] Zheng CP, 2023, The Effectiveness of Intelligent Text Analysis in ESP Teaching. Modern Educational Technology, (4): 90-96.
[8] Lee J, 2020, Intelligent Writing Assistance and Instructed Language Learning. CALICO Journal, 37: 1-25.
[9] Csomay E, 2019, AI-Powered Language Translation for Multilingual Classrooms. Computers in Human Behavior, 98: 150-160.
[10] Wang P, 2021, Construction and Implementation of a New Hybrid Teaching Model Based on the "Flipped Classroom". Educational Modernization, (4): 56-62.
[11] Zhang ZX, 2022, The Impact of ChatGPT on Bibliometrics and Information Work. Report of the National Science Library, Chinese Academy of Sciences.
[12] Dong YP, Zhan C, 2025, Theoretical and Practical Innovations in Training Interpreting Talent in China. Foreign Language World, (4): 16-22.
[13] Cheng S, Zhang YS, 2025, Post-Editing Pedagogy and the Development of Post-Editing Competence: Practice, Findings, and Implications. Contemporary Foreign Languages Studies, (4): 182-195.