| 高校人工智能类课程建设现状调查与对策——以河北省为例 |
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| 引用本文： | 张志新,唐佳音,张惊涛,刘静.高校人工智能类课程建设现状调查与对策——以河北省为例[J].河北工程大学学报(社会科学版),2023,40(3):107-117. |
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| 作者姓名： | 张志新 唐佳音 张惊涛 刘静 |
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| 作者单位： | 首都师范大学 教育学院, 北京 100048;北京市中科启元学校, 北京 100086;北京开放大学 国开业务部, 北京 100081 |
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| 基金项目： | 2022年度北京市属高校教师队伍建设支持计划优秀青年人才支持项目(编号:BPHR202203136);2018年度北京市优秀人才培养资助项目(编号:2018000020124G062);2018年度国家开放大学科研课题(编号:G18A0115C) |
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| 摘 要： | 人工智能技术的发展需要大量的专业人才。高校作为人工智能人才的重要培养基地,其相关课程建设情况成为学界关注的焦点。该研究从人工智能类课程的开设率、内容、师资、设备、方法、评价等维度设计了调查问卷,对河北省以及京津地区56所高校的学生进行了调查;采用文献计量法对3个地区各高校教师相关发文量进行了统计分析;对3个地区9位授课教师和3位专家进行了深度访谈。研究发现,河北高校在重视程度、课程内容、师资力量、硬件设施、教学评价等方面有待改进,且政策、资金和产业支持相对缺乏。因此,需要政府、学校、教师等主体从完善政策支持和法律保障、推动产业发展和校企合作、完善课程体系、加强师资队伍、厘清课程内容、改进教学方法等方面改进。
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| 关 键 词： | 人工智能 课程建设 高等学校 实证调查 对策 |
| 收稿时间： | 2023/6/23 0:00:00 |
Investigation and Countermeasures of the Current Situation of Artificial Intelligence Course Construction in Colleges and Universities: Taking Hebei Province as an Example |
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| Authors: | ZHANG Zhixin TANG Jiayin ZHANG Jingtao LIU Jing |
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| Affiliation: | College of Education, Capital Normal University, Beijing 100048, China;Beijing Zhongke Qiyuan School, Beijing 100086, China;Beijing Open University, Beijing 100081, China |
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| Abstract: | The development of artificial intelligence technology requires a large number of professional talents. As an important training base for artificial intelligence talents, the construction of relevant courses in colleges and universities has become the focus of academic circles. In this study, a questionnaire is designed from the dimensions of course offering rate, course content, teacher allocation, teaching equipment, teaching method and teaching evaluation; students from 56 colleges and universities in Hebei, and also Beijing, Tianjin are investigated. A statistical analysis of the amount of relevant papers published by teachers in colleges and universities of the three regions was made by the method of bibliometrics. 3 experts and 9 teachers in the three regions were interviewed in depth. It was found that colleges and universities in Hebei need improvement in the aspects of degree of emphasis, course content, teacher allocation, hardware facilities and teaching evaluation, which are short of policies, funds and industrial support. To solve the above problems, the government, schools and teachers need to improve the policy support and legal guarantee, promote industrial development and school-enterprise cooperation, improve the course system, strengthen the teaching staff, clarify the course content, and improve teaching methods and other aspects. |
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| Keywords: | artificial intelligence course construction institutions of higher learning empirical investigation countermeasures |
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