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| Research on Information Science Curricula Based on Curriculum Knowledge Extraction |
| Shen Si1, Zuo Mingcong2, Wang Dongbo2, Ji Youshu2, Liu Liu2, Xie Jing3 |
1.School of Economics & Management, Nanjing University of Science and Technology, Nanjing 210094
2.College of Information Management, Nanjing Agricultural University, Nanjing 210095
3.School of Health Economics and Management, Nanjing University of Chinese Medicine, Nanjing 210023 |
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Abstract The reform of information science curricula has become a hot topic in recent years. Based on an acquired curriculum of foreign iSchools, an automatic extraction model for course names is constructed combining the deep learning model of Bi-LSTM and BERT; the best value of the F-measure of the BERT model reached 92.92%. The knowledge extraction of all course names was completed with the model, and a comprehensive and systematic iSchool curriculum knowledge system was constructed. On the basis of the extracted knowledge, this study systematically and deeply analyzed the course contents of iSchool from the perspective of hierarchy and region. Some practical suggestions are provided for the design of the corresponding courses of information science in China on the basis of the above analysis.
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Received: 13 May 2020
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1 苏新宁. 不忘初心、牢记使命 展望情报学与情报工作的未来[J]. 科技情报研究, 2019, 1(1): 1-12.
2 周庆山, 黄国彬. 美国图书馆与信息科学学院信息科学专业本科课程设置的典型分析与启示[J]. 图书情报工作, 2009, 53(5): 15-18.
3 刘桂锋, 卢章平, 郭金龙. 美国iSchool图书情报学研究生课程设置与教学方式的特点与启示——以伊利诺伊大学香槟分校为例[J]. 情报资料工作, 2015(6): 97-102.
4 刘心静. iSchool院校图书情报硕士研究生的人才培养模式研究——以北德州大学信息学院为例[J]. 图书馆学研究, 2018(15): 25-33.
5 Hu S. Technology impacts on curriculum of library and information science (LIS) - A United States (US) perspective[J]. LIBRES, 2013, 23(2): 1-9.
6 魏雅雯. 美国高校Intelligence Studies课程调研与分析[J]. 竞争情报, 2018, 14(1): 33-39.
7 司莉, 赵洁, 陆伟, 等. 国外iSchools院校图书情报与档案管理研究生课程调研与特征分析[J].图书情报知识, 2018(5): 41-51, 40.
8 沙勇忠, 牛春华. iSchool联盟院校的课程改革及其启示[J]. 图书情报知识, 2008(6): 26-35, 55.
9 胡雅萍, 遇妍. 美国高校情报教育研究[J]. 情报杂志, 2016, 35(11): 5-9.
10 李乾炜. iSchools对中国情报学学科的启示[J]. 农业图书情报学刊, 2016, 28(2): 133-135.
11 Lieutenant E, Kules B. Are iSchools’ more adaptable than library schools? Analysis of LIS student engagement in programmatic changes and improvements[C]// iConference 2016 Proceedings. iSchools, 2016.
12 Zuo Z Y, Zhao K, Eichmann D. The state and evolution of US iSchools: From talent acquisitions to research outcome[J]. Journal of the Association for Information Science and Technology, 2017, 68(5): 1266-1277.
13 司莉, 姚瑞妃. 图书情报专业研究生数据素养课程设置及特征分析——基于iSchool联盟院校的调查[J]. 图书与情报, 2018(1): 28-36, 101.
14 鲁晶晶, 谭宗颖. 从博士论文看国内外情报学教育的现状与发展[J]. 情报科学, 2016, 34(3): 161-165.
15 Xue C X, Wu X Z, Zhu L, et al. Challenges in LIS education in China and the United States[J]. Journal of Education for Library and Information Science, 2019, 60(1): 35-61.
16 陈则谦, 王雪, 张鑫. 中美情报学教育的个性与共性——基于情报学硕士人才培养方案的调查与分析[J]. 图书与情报, 2018(6): 120-128.
17 Wang Q, Zhou Y M, Ruan T, et al. Incorporating dictionaries into deep neural networks for the Chinese clinical named entity recognition[J]. Journal of Biomedical Informatics, 2019, 92: 103133.
18 di Cicco V, Firmani D, Koudas N, et al. Interpreting deep learning models for entity resolution: An experience report using LIME[C]// Proceedings of the Second International Workshop on Exploiting Artificial Intelligence Techniques for Data Management. New York: ACM Press, 2019: 1-4.
19 徐啸, 朱艳辉, 冀相冰. 基于自注意力深度学习的微博实体识别研究[J]. 湖南工业大学学报, 2019, 33(2): 48-52.
20 iSchools member institutions[EB/OL]. [2020-07-24]. https://ischools.org/Directory.
21 Schuster M, Paliwal K K. Bidirectional recurrent neural networks[J]. IEEE Transactions on Signal Processing, 1997, 45(11): 2673-2681.
22 Devlin J, Chang M W, Lee K, et al. BERT: Pre-training of deep bidirectional transformers for language understanding[C]// Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Stroudsburg: Association for Computational Linguistics, 2018: 4171-4186. |
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