Marine Education Studies
MES, Vol. 1, No. 2, 2025, pp.168-185.
Print ISSN: 3078-316X; Online ISSN: 3104-5057
Journal homepage: https://www.hyjyyj.com
DOI: Https://doi.org/10.64058/MES.25.2.12
AI-Enabled College Classroom Teaching: Exploration and Practice in the Course “Marine Engineering Introduction”
Xiao Liusheng
Abstract: The current development, existing challenges, implementation pathways, and practical exploration of Artificial Intelligence (AI) technology-enabled classroom teaching in colleges are explored in this paper. Firstly, the current state of AI-enabled classroom development and six core dilemmas are analyzed, then the implementation pathways including constructing a collaborative ecosystem, updating teaching philosophy, innovating teaching models, optimizing teaching content, and improving evaluation systems are summarized. Finally, taking the course “Marine Engineering Introduction” as an example, the paper details specific measures for AI-enabled teaching reform, including using AI for heuristic education, optimizing the presentation of teaching content, building student profiles for personalized tutoring, innovating online-offline integration, scenario-based role-playing, and project-case teaching models. The practice results indicate that this reform has significantly enhanced students’ classroom engagement, learning interest, and comprehensive abilities, with both course average scores and diversified capabilities showing substantial improvement. This study provides a reference for a new paradigm of “human-machine collaboration” in intelligent education, promoting high-quality development of higher education in the future.
Keywords: AI-enabled classroom teaching; Marine Engineering Introduction; teaching reform; personalized learning; intelligent teaching
Author Biography: Xiao Liusheng, Temporary Staff at the Center for Educational Supervision and Teaching Evaluation of Ningbo University, Associate Professor of Faculty of Maritime and Transportation, Ph.D., Doctoral Supervisor. Research
interests: Educational Teaching Research. E-mail: xiaoliusheng@nbu.edu.cn.
题目：人工智能赋能高校课堂教学：《海洋工程概论》课程的探索与实践
摘要：本文探讨了人工智能技术赋能高校课堂教学的现状发展、现存挑战、实现路径及实践探索。首先，分析了人工智能赋能课堂的发展现状与六大核心困境；进而，从构建协同生态系统、更新教学理念、创新教学模式、优化教学内容、完善评价体系等方面总结了其实施路径；最后，以《海洋工程概论》课程为例，详细阐述了人工智能赋能教学改革的具体措施，包括运用AI进行启发式育人、优化教学内容呈现、构建学生画像与个性化辅导、创新线上线下融合、情景角色扮演及项目案例教学等模式。实践结果表明，该改革显著提升了学生的课堂参与度、学习兴趣及综合能力，课程平均成绩与多元化能力均呈现大幅提高。本研究为智能教育"人机协同"新范式提供了参考，助推未来高等教育高质量发展。
关键词：人工智能赋能课堂教学；海洋工程概论；教学改革；个性化学习；智能教学
作者介绍：肖柳胜，宁波大学教育督导与教学评估中心挂职干部，海运学院副教授，博士，博士生导师。研究方向：教育教学研究方向。电邮：xiaoliusheng@nbu.edu.cn。
Received: 10 Oct 2025 / Revised: 31 Oct 2025 / Accepted: 14 Nov 2025 / Published online: 1 Dec 2025 / Print published: 5 Dec 2025
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