黑龙江科学2024,Vol.15Issue(19) :135-137.

人工智能赋能高校人才培养的发展现状

Development Status of Artificial Intelligence-enabled College Talent Training

刘俊
黑龙江科学2024,Vol.15Issue(19) :135-137.

人工智能赋能高校人才培养的发展现状

Development Status of Artificial Intelligence-enabled College Talent Training

刘俊1
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作者信息

  • 1. 山东华宇工学院,山东 德州 253000
  • 折叠

摘要

以人工智能的发展为基础,参考相关研究设计关于人工智能和高校人才培养的调查问卷,对当前人工智能赋能高校人才培养的发展现状进行调研.结果表明,高校在人工智能建设方面做得足够好这一指标的满意度较低,说明高校在人工智能建设方面还需不断完善.课程体系建设方面,人工智能课程内容能更及时反映最新的行业规范和标准得分最低,表明当前高校并未很好地发挥人工智能在课程内容和行业发展之间的作用.大学生实习实践方面,人工智能促使学生实践与专业课程学习之间具有良好的关联性的满意度得分较低.由单因素方差分析和独立样本t检验可知,受访学生对人工智能赋能高校人才培养的满意度得分在0.01 的水平上会受专业因素的影响,但不受年级和性别因素的影响,其中满意度均值得分最高的专业是医学类专业.

Abstract

Based on the development of artificial intelligence,the study designs questionnaire on artificial intelligence and college talent training with reference to relevant research,and investigates the current development status of college talent training enabled by artificial intelligence.The results show that the low satisfaction of the indicator that universities are doing well enough in artificial intelligence construction,indicating that universities need to continue to improve in artificial intelligence construction.In course system construction,AI can make course content reflect the latest industry norms and standards with the lowest score,indicating that the role of AI between course content and industry development is not well played in current universities.In college students'practice,the satisfaction score of artificial intelligence promoting good correlation between students'practice and professional course learning is low.According to one-way ANOVA and independent sample t test,the satisfaction score of the surveyed students on talent training in AI-enabled universities is affected by major factors at the level of 0.01,but is not affected by grade and gender factors.Medical major has the highest average satisfaction score.

关键词

人工智能/高校/人才培养/创新能力/应用能力

Key words

Artificial intelligence/Colleges and universities/Personnel training/Innovation ability/Application ability

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出版年

2024
黑龙江科学
黑龙江省科学院

黑龙江科学

影响因子:1.014
ISSN:1674-8646
参考文献量2
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