图书情报知识 ›› 2023, Vol. 40 ›› Issue (6): 42-51, 67.doi: 10.13366/j.dik.2023.06.042

• 专业教育 • 上一篇    下一篇

新文科下的信息资源管理专业人工智能课程体系设计

潘禹辰, 呼玮, 杨建梁, 徐璐, 卢小宾   

  1. 中国人民大学信息资源管理学院,北京,100872
  • 出版日期:2023-11-10 发布日期:2023-12-10
  • 通讯作者: 卢小宾(ORCID:0000-0002-2866-4509),博士,教授,研究方向:信息分析,Email:luxb@ruc.edu.cn。
  • 作者简介:潘禹辰(ORCID:0000-0002-1643-8555),博士,副教授,研究方向:人工智能与信息分析,Email:panyuchen@ruc.edu.cn;呼玮(ORCID:0009-0003-2436-5450),本科生,研究方向:信息资源管理,Email:2021201210@ruc.edu.cn;杨建梁(ORCID:0000-0002-0628-9736),博士,副教授,研究方向:大数据信息分析,Email:rucyjl1991@ruc.edu.cn;徐璐(ORCID:0000-0003-2414-3180),博士,副教授,研究方向:大数据信息分析,Email:rzxulu@ruc.edu.cn。
  • 基金资助:
    本文系国家自然科学基金青年科学基金项目“基于共现网络全景建模和动态演化分析的 O2O 服务推荐方法研究”( 72101258)和中国人民大学科学研究基金项目(中央高校基本科研业务费专项资金资助)“基于时空域网络分析的O2O用户偏好需求预测方法研究”(23XNA033)的研究成果之一。

The Design of Artificial Intelligence Curriculum for Information Resources Management Under the New Liberal Arts

PAN Yuchen, HU Wei, YANG Jianliang, XU Lu, LU Xiaobin   

  1. School of Information Resource Management, Renmin University of China, Beijing, 100872
  • Online:2023-11-10 Published:2023-12-10
  • Contact: Correspondence should be addressed to LU Xiaobin, Email:luxb@ruc.edu.cn, ORCID:0000-0002-2866-4509
  • Supported by:
    This is an outcome of the project "Research on O2O Service Recommendation Method based on Co-occurrence Network Modeling and Network Dynamic Analysis"(72101258) supported by National Natural Science Foundation of China and the Scientific Research Foundation Project of Renmin University of China "Research on O2O User Preference Demand Prediction Method Based on Spatiotemporal Network Analysis"(23XNA033)supported by Basic Scientific Research Expenses Foundation of Central Universities.

摘要: [目的/意义]探索信息资源管理学科人工智能课程体系的设计理念和策略,将人工智能知识与方法融入信管学科教学体系,从而帮助推动新文科背景下的信管专业教学改革。[研究设计/方法]通过文献调研,以及对iSchools不同院校培养方案和课程介绍的调查,提出并讨论了基于学科特异性的人工智能课程体系设计模式优先序和动态化标准。[结论/发现]提出信息资源管理学科人工智能课程体系建设应遵循差异性、动态化和应用性原则。在教学实践体系上,提出面向信管专业人工智能课程的教学内容体系、教学方法体系和考核管理体系,以及指出在开设面向信管专业的人工智能技术方法课程基础上,还需将人工智能知识体系与信管已有课程群深度融合。[创新/价值]结合信息资源管理发展前沿,提供了信息资源管理学科本科人工智能课程体系设计的一般方法和实现范例。

关键词: 新文科, 信息资源管理, 人工智能, 课程设计, 人才培养

Abstract: [Purpose/Significance] This study aims to explore the design principles and strategies of the artificial intelligence curriculum system in the discipline of information resources management. It seeks to innovatively integrate AI knowledge and methods into the teaching system of information management to promote educational reform in the field of information management under the context of New Liberal Arts. [Design/Methodology] Through literature review, as well as the investigation of curriculum plans and course descriptions in different colleges of iSchools, this study proposes and discusses the prioritization and dynamic standards of designing an AI curriculum system based on disciplinary specificity. [Findings/Conclusion] The research argues that the construction of AI curriculum system in the discipline of information resources management should follow the principles of differentiation, dynamism and applicability. In terms of teaching practice, it suggests the establishment of a customized curriculum content system, teaching methodology system and assessment management system specifically tailored to AI courses for information management majors. Furthermore, it emphasizes the need to deeply integrate the AI knowledge system with the existing course clusters in information management. [Originality/Value] Combining the cutting-edge development in the field of information resources management, this study provides a general approach and exemplar for the design of an undergraduate AI curriculum system in this discipline.

Key words: New Liberal Arts, Information resources management, Artificial intelligence, Course design, Talent cultivation