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Curriculum Reform of Information Management System Under the Background of Big Data

Published: 09 July 2024 Publication History

Abstract

ABSTRACT: This study underscores the necessity of instituting a scientific personnel cultivation program to enhance the quality of training for proficient professionals. In the backdrop of the current information revolution, the research delves into societal requisites and challenges arising from shifts in information technology. The paper advocates for realigning training objectives in information management system, thereby reconstructing the professional curriculum. The research initiates by refocusing talent development on micro facets of information system planning, design, and implementation. This approach aims to nurture individuals capable of harnessing big data for astute processing and in-depth analysis, enabling adept facilitation of complex decision-making and contributing to the data knowledge service sector. Through a comparative analysis of similar programs nationally and internationally, the study addresses concern pertinent to the era of big data, including inadequacies in teaching organization, insufficient support systems, incongruous curriculum structures, deficient practical training, and inappropriate pedagogical strategies. This culminates in a holistic curriculum system rooted in data science theory, experimental methodologies, and practical field research. Consequently, an innovative talent development model for information management system is formulated, equipping students to effectively meet evolving societal demands and ensuring the sustainable advancement of the discipline.

References

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Zhou Xiaoyan, Yin Yali. Based on the domestic market demand analysis of the large data management personnel knowledge structure [J]. Journal of intelligence science, 2017, 35 (01): 29-34.
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China Big Data Development Report (2018). Beijing: China academy of information communication. Https://www.sohu.com/a/229870248_465915.
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China Information System Curricula (2011), Management Science and Engineering Teaching Steering Committee, Tsinghua University Press.
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Qian Yingfei, Ma Jing & Mi Chuanmin (2023). Research on Big Data Curriculum Construction for Information Management and Information System Major for New Liberal arts. Theory and practice of intelligence, 48(03),83-89. carroll nki. 1000-7490.2023.03.012
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Zou Kai, Luo Wenxin & Jiang Zhiyi (2022). Era of big data research and analysis of the information management talents social needs. Journal of theory and practice of intelligence, 2022, (11), 54-60. carroll nki. 1000-7490.2022.11.008
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Cao Wenzhen & Zhou Qingshan. (2020). The Evolution and Enlightenment of undergraduate education of Information Science major in top American iSchool: A re-investigation after 10 years of curriculum setting. Library and Information Work,2020(01),70-79.
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Catalog and Introduction of Undergraduate Majors in Colleges and Universities (2012), Department of Higher Education of Ministry of Education, Higher Education Press.
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Zhang Wei, Li Dan, Qi Guijie. Analysis on training mode of Information management and Information system professionals [J]. Information Science,2006(08):1263-1268.
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Lu Zhiping, Chen Zhaohui. A new training model for information Management and information system professionals under the concept of Active Practice [J]. Modern Information,2009,29(04):186-190.

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          ICIEI '24: Proceedings of the 2024 9th International Conference on Information and Education Innovations
          April 2024
          133 pages
          ISBN:9798400716409
          DOI:10.1145/3664934
          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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          Association for Computing Machinery

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          Published: 09 July 2024

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          Author Tags

          1. 21st century abilities
          2. Applications in subject areas
          3. Data science applications in education
          4. Information literacy

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