高校数智化英语教学模型建构与探索

doi:10.3969/j.issn.1674-8921.2025.05.010

摘要/Abstract

摘要：

在数字技术与人工智能深度融入教育领域的背景下,研究聚焦高校英语教学,探索数智技术带来的变革及共生发展路径。研究基于相关文献梳理研究背景,指出数智技术促使教育全方位转型,在英语教学多领域引发关注与变革。通过理论探索与前期实践循证,构建“技术赋能的高校数智化英语教学模型”,涵盖资源AI化、教学数智化、语境虚拟化、学习具身化、交互多模态化、管理智慧化等模块,深入剖析各模块在教学中的运作机制。研究发现,数智技术为高校英语教学带来空间创融、模态再建等变化,实现教学各环节深度交互与科学管理。同时,二者形成“需求驱动-技术响应-实践优化”的共生共荣机制,以人机协同为核心达成良性循环。研究意义在于为高校英语教学改革提供理论与实践支撑,助力其借助数智技术培养适应新时代需求的人才,实现数智技术与英语教育的协同发展,推动高校教学资源整合与创新,提升人才培养质量。

关键词: 数智化, 高校英语教学, 人工智能, 教学模型, 共生共荣机制

Abstract:

Against the backdrop of deep integration of digital technology and artificial intelligence into education, this study focuses on English teaching in higher education, exploring the transformations and symbiotic development pathways brought by digital-intelligent technologies. Based on a review of relevant literature, the research context is established, highlighting that digital-intelligent technologies drive comprehensive educational transformation and have garnered significant attention and prompted changes across various domains of English teaching. Through theoretical exploration and evidence-based preliminary practices, a “Technology-Enabled Digital-Intelligent English Teaching Model for Higher Education” is constructed. This model encompasses modules such as AI-based resources, digital-intelligent teaching, virtualized contexts, embodied learning, multimodal interaction, and intelligent management, with an in-depth analysis of each module’s operational mechanism. The study finds that digital-intelligent technologies bring about spatial integration and modal reconstruction in English teaching, enabling deep interaction and scientific management across all teaching stages. Simultaneously, a symbiotic and mutually reinforcing mechanism of “demand-driven, technology-responsive, and practice-optimized” is formed, achieving a virtuous cycle centered on human-machine collaboration. The significance of this research lies in providing theoretical and practical support for the reform of English teaching in higher education, aiding in the cultivation of talent adapted to the demands of the new era through digital-intelligent technologies. It promotes the synergistic development of digital-intelligent technologies and English education, facilitates the integration and innovation of teaching resources in higher education, and enhances the quality of talent cultivation.

Key words: digital-intelligent, English teaching in higher education, artificial intelligence, teaching model, symbiotic development mechanism

中图分类号:

H059

郭聪, 辛静. 高校数智化英语教学模型建构与探索[J]. 当代外语研究, 2025, 25(5): 97-105.

GUO Cong, XIN Jing. Construction and Exploration of a Digital-Intelligent English Teaching Model in Higher Education[J]. Contemporary Foreign Languages Studies, 2025, 25(5): 97-105.

图/表 1

参考文献 17

[1]	Bucea-Manea-Ţoniş, R., V. Kuleto, S. Gudei, et al. 2022. Artificial intelligence potential in higher education institutions enhanced learning environment in Romania and Serbia[J]. Sustainability 14(10):5842.
[2]	Crompton, H. & D. Burke. 2023. Artificial intelligence in higher education: The state of the field[J]. International Journal of Educational Technology in Higher Education 20(1):1-22.
[3]	Polyportis, A. 2024. A longitudinal study on artificial intelligence adoption: understanding the drivers of ChatGPT usage behavior change in higher education[J]. Frontiers in Artificial Intelligence 6:1324398.
[4]	Wang, T., B. D. Lund, A. Marengo, et al. 2023. Exploring the potential impact of Artificial Intelligence (AI) on international students in higher education: Generative AI, Chatbots, Analytics, and International Student Success[J]. Applied Sciences 13(11):6716.
[5]	兰国帅、杜水莲、肖琪, 等. 2024. 人工智能赋能教育4.0:挑战、潜能与案例——《塑造未来学习:人工智能在教育4.0中的作用》的要点与思考[J]. 开放教育研究 30(4):37-45.
[6]	李惠敏、杨港. 2022. 平台化思维:高校大学英语在线教学的实践探索及启示[J]. 中国电化教育(11):123-128.
[7]	李颖. 2018. 虚拟现实技术在英语演讲中的实训原理分析[J]. 中国外语 15(6):73-78.
[8]	李颖. 2020. 虚拟现实(VR)与外语教学模态再建研究[J]. 外语电化教学 (1):24-30,4.
[9]	李颖、陈绮. 2022. 以微语境传播为目的的中国文化英语慕课学习效果研究[J]. 中国外语 19(4):70-77.
[10]	李颖、管凌云. 2023. 生成抑或创新——聊天机器人应用与研发的本土化反思[J]. 中国外语 20(3):16-23.
[11]	李颖、刘倩. 2021. VR模态再建中的具身认知探析[J]. 外语电化教学 (3):50-56,8.
[12]	李颖、刘倩. 2023. 桌面式虚拟仿真(LiVR)外语文化学习效果研究[J]. 外语电化教学 (5):88-96.
[13]	李战子、韩泽婷. 2025. 人工智能时代的多模态话语研究:机遇与路径[J]. 当代外语研究 (3):119-128.
[14]	王海啸. 2025. 生成式AI时代大学英语数智教材建设框架探索[J]. 当代外语研究 (2):23-33,205.
[15]	王争录、马小霞、张博. 2024. 从模糊走向精准:数智化赋能循证高等教育评价[J]. 黑龙江高教研究 42(11):47-51.
[16]	祝智庭、戴玲、胡姣. 2023. AIGC技术赋能高等教育数字化转型的新思路[J]. 中国高教研究(6):12-19,34.
[17]	祝智庭、赵晓伟、沈书生. 2024. 融创教育:数智技术赋能新质人才培养的实践路径[J]. 中国远程教育 44(5):3-14.