图书情报工作

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2025 , Vol. 69 >Issue 13: 71 - 82

DOI: https://doi.org/10.13266/j.issn.0252-3116.2025.13.006

研究论文

新文科背景下信息资源管理院系本科专业大数据类课程体系设计

  • 潘禹辰 ,
  • 呼玮 ,
  • 杨建梁 ,
  • 徐璐 ,
  • 卢小宾
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  • 中国人民大学信息资源管理学院 北京 100872
潘禹辰，副教授，博士；呼玮，本科生；杨建梁，副教授，博士；徐璐，副教授，博士，通信作者，E-mail：rzxulu@ruc.edu.cn；卢小宾，二级教授，博士。

收稿日期: 2024-06-18

  修回日期: 2025-01-03

  网络出版日期: 2025-06-21

基金资助

本文系国家自然科学基金面上项目“信息‘精炼’下基于时空网络演化分析的多元O2O服务推荐方法研究”（项目编号：72471231）和中国人民大学科学研究基金（中央高校基本科研业务费专项资金资助）“个性化推荐的‘卡脖子’难题研究—在O2O商业领域的应用”（项目编号：24XNR07）研究成果之一。

收起

Design of Big Data Curriculum for Undergraduate in Information Resources Management Major Under the Background of New Liberal Arts

  • Pan Yuchen ,
  • Hu Wei ,
  • Yang Jianliang ,
  • Xu Lu ,
  • Lu Xiaobin
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  • School of Information Resource Management, Renmin University of China, Beijing 100872
Pan Yuchen, associate professor, PhD; Hu Wei, undergraduate student; Yang Jianliang, associate professor, PhD; Xu Lu, associate professor, PhD, corresponding author, E-mail: rzxulu@ruc.edu.cn; Lu Xiaobin, second-class professor, PhD.

Received date: 2024-06-18

  Revised date: 2025-01-03

  Online published: 2025-06-21

Supported by

This work is supported by the National Natural Science Foundation of China project titled “O2O Service Recommendation Method Based on Fake Review Detection and Spatiotemporal Network Evolution Analysis” (Grant No. 72471231) and the Fundamental Research Funds for the Central Universities titled “Research on the Serious Problems of Personalized Recommendation: Applications in the O2O Business” (Grant No. 24XNR07).

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摘要

[目的/意义] 探索信息资源管理院系本科专业大数据类课程体系的设计理念，研究信息资源管理传统课程群和大数据技术类课程群建设方法，帮助推动新文科背景下的信管院系本科教学改革。[方法/过程] 通过文献分析法识别课程体系建设的主要矛盾，并设计抽样调查，开展对比研究，提出并讨论信息资源管理专业大数据类课程体系设计核心理念：应用性、深度融合和多元化培养。[结果/结论] 提出大数据类课程体系下传统课程群的教学深度融合理论，以及大数据技术类课程群的建设需要满足多方要求的核心要求。结合信息资源管理发展要求，提供信息资源管理院系本科专业大数据类课程体系设计思路，并给出一种教学改革的可能方向。

关键词： 新文科; 信息资源管理; 大数据; 课程设计; 人才培养

本文引用格式

潘禹辰 , 呼玮 , 杨建梁 , 徐璐 , 卢小宾 . 新文科背景下信息资源管理院系本科专业大数据类课程体系设计[J]. 图书情报工作, 2025 , 69(13) : 71 -82 . DOI: 10.13266/j.issn.0252-3116.2025.13.006

Abstract

[Purpose/Significance] Exploring the design concept of big data course system for undergraduate in information resource management major, and studying the construction methods of both traditional course groups and big data technology course groups in information resource management, can promote undergraduate teaching reform in information management departments under the background of new liberal arts. [Method/Process] Through literature research and data collection, the core concepts of big data related curriculum system in the information resource management major were proposed and discussed, including applicability, deep integration, and diversified cultivation. [Result/Conclusion] It proposes the theory of deep integration of traditional course clusters in the big data curriculum system, and the core requirements for the construction of big data technology course clusters that need to meet various requirements. Based on the development requirements of information resource management, this paper provides a design concept for the undergraduate big data course system in information resource management, and proposes a possible direction for teaching reform.

Key words： new liberal arts; information resource management; big data; course design; talent cultivation

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