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教育者视角下的情报学教育和人才培养调查与分析 被引量:7

Investigation and Analysis of Information Science Education and its Talent Cultivation:A Pedagogical Perspective
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摘要 [目的/意义]情报学教育在大数据和人工智能的影响下,面临着新的机遇与挑战。高校情报学教育人才的培养主要依靠课程的设置,合理的课程设置和人才培养目标是实现新时代高端情报人才培养的关键。[方法/过程]文章以问卷调查为基础,通过获取国内情报学教育者对情报学教育体系中课程设置和人才培养的认识,真实地分析我国情报学教育体系的现状以及未来情报学教育体系调整的方向。[结果/结论]当前情报学教育体系并不能很好地适应时代发展的要求,应当紧密结合数据科学学科内容,增设大数据和人工智能相关课程,调整情报学人才培养目标,面向高端情报人才培养构建合理可靠的情报学教育体系。 [Purpose/significance] The new technologies of big data and artificial intelligence have brought information science education both opportunities and challenges. The talent cultivation of information science education is inseparable from relevant curriculum design,which,together with the objectives of talent cultivation,plays an essential role in the cultivation of high-level talents. [Method/process] The research involves collecting data from domestic information science educators by means of a questionnaire survey,and then makes an attempt to analyze the current situation of the information science education and its future direction of development in terms of talent cultivation. [Result/conclusion] It is found that the current information science education system cannot meet the requirements of the new age. And accordingly,in order to construct a more reasonable education system of information science,it is suggested that the following measures be taken: to integrate the information science education system with the content of data science,to introduce new courses relating with big data and artificial intelligence and to adjust the training target of information science talents.
出处 《情报理论与实践》 CSSCI 北大核心 2021年第1期18-26,共9页 Information Studies:Theory & Application
基金 国家社会科学基金项目“加快构建中国特色哲学社会科学学科体系、学术体系、话语体系”研究专项项目的成果,项目编号:19VXK09。
关键词 情报学教育 课程设置 人才培养 大数据 数据科学 information science education curriculum design talent cultivation big data data science
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