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吉林化工学院学报, 2026, 43(6): 19-22     https://doi.org/10.16039/j.cnki.cn22-1249.2026.06.05
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“AI+”时代日语专业“通感型人才”培养路径与策略研究
齐金玲#br# #br#
(吉林化工学院 外国语学院,吉林 吉林 132022)
Research on the Training Paths and Strategies of "Synesthetic Talents" for Japanese Major in the "AI+" Era
QI Jinling#br# #br#
(School of Foreign Languages, Jilin University of Chemical Technology, Jilin 132022, China)
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摘要 聚焦日语专业,探讨其在“AI+”时代背景下的跨学科能力培养路径。分析AI技术对日语专业教学模式、学习方式及人才需求带来的结构性影响,提出“日语为轴,AI为翼,领域为场”的“通感型人才”能力模型。基于该模型,从课程体系、教学方法、师资建设与实践平台四个维度,系统构建以“场景赋能”为核心的培养路径,并结合实际案例提出可操作的策略建议,以期为新文科背景下日语专业的转型与创新提供理论参照与实践指南。


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齐金玲
关键词:  “AI+”时代    日语专业    跨学科能力    通感型人才    培养路径    场景化教学    
Abstract: Focusing on Japanese majors, this paper explores their interdisciplinary competence cultivation pathways in the “AI+” era. It analyzes the influence of AI technology on the teaching modes, learning approaches and talent demands of Japanese majors, and constructs a competency cultivating model for “synesthetic talents” featuring “Japanese as the core, AI as the support, and professional fields as the application scenario”. Based on this model, it systematically establishes a cultivation pathway centered on “scenario empowerment” from four dimensions: curriculum system, teaching methods, faculty development and practical platforms, and puts forward feasible strategies with practical cases. The findings aim to provide theoretical reference and practical guidance for the transformation and innovation of Japanese majors under the background of the new liberal arts.
Key words:  “AI+”era    Japanese major      interdisciplinary competence      synesthetic talents      cultivation pathway      scenario-based teaching
               出版日期:  2026-06-12      发布日期:  2026-09-06      整期出版日期:  2026-06-12
:  G642.0  
引用本文:    
齐金玲. “AI+”时代日语专业“通感型人才”培养路径与策略研究[J]. 吉林化工学院学报, 2026, 43(6): 19-22.
QI Jinling. Research on the Training Paths and Strategies of "Synesthetic Talents" for Japanese Major in the "AI+" Era. Journal of Jilin Institute of Chemical Technology, 2026, 43(6): 19-22.
链接本文:  
https://xuebao.jluct.edu.cn/CN/10.16039/j.cnki.cn22-1249.2026.06.05  或          https://xuebao.jluct.edu.cn/CN/Y2026/V43/I6/19
[1] 张慧颖, 仲启鹏, 刘佳慧. AI协同视角下信号与系统课程教学改革实践#br#[J]. 吉林化工学院学报, 2026, 43(6): 14-18.
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