Documentation, Informaiton & Knowledge ›› 2023, Vol. 40 ›› Issue (6): 42-51, 67.doi: 10.13366/j.dik.2023.06.042

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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,, 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.

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