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人工智能背景下会计硕士培养困境与优化路径研究

The Dilemmas and Optimization Paths of MPAcc Cultivation Oriented Towards Artificial Intelligence

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【作者】 周向红谭茂周志强吴建军

【Author】 ZHOU Xianghong;TAN Mao;ZHOU Zhiqiang;WU Jianjun;School of Business, Hunan University of Science and Technology;Big Data and Intelligent Decision Research Center, Hunan University of Science and Technology;

【机构】 湖南科技大学商学院湖南科技大学大数据与智能决策研究中心

【摘要】 人工智能技术的加速迭代对会计人才能力结构提出了新要求,而当前我国会计硕士人才培养尚未有效契合社会发展需要,主要存在课程体系与智能财务能力要求脱节、实践教学与岗位需求存在差距、跨学科师资结构性失衡、智能技术伦理与数据合规教育缺位等问题。对此,提出培养模式的优化须围绕智能财务课程体系的重构、产教融合实践平台的实质性建设、“双师型”师资队伍的系统培育和伦理合规素养的全程融入展开,以培养满足数智时代需求的高端会计人才。

【Abstract】 The accelerated iteration of artificial intelligence(AI) technology has imposed new requirements on the competency structure of accounting professionals. However, the current cultivation of Master of Professional Accounting(MPAcc) students in China has not yet effectively aligned with societal development needs. The primary challenges include a disconnect between the curriculum and the requirements of intelligent financial capabilities, a gap between practical teaching and job market demands, a structural imbalance in interdisciplinary faculty, and a lack of education on intelligent technology ethics and data compliance. In response, this study proposes that the optimization of the training model should focus on the restructuring of the intelligent finance curriculum system, the substantive development of industry-education integration platforms, the systematic cultivation of “dual-qualified” faculty, and the full integration of ethics and compliance literacy throughout the training process, so as to cultivate high-end accounting talents who meet the demands of the digital and intelligent era.

【基金】 湖南省普通高等学校教学改革研究项目(HNJG-20230631);湖南科技大学教学改革研究项目(GY2432)
  • 【文献出处】 当代教育理论与实践 ,Theory and Practice of Contemporary Education , 编辑部邮箱 ,2026年02期
  • 【分类号】F230-4;G643
  • 【下载频次】15
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