Humanized Computing for Mass Customization Application in Curriculum Management

  • Ruijun Liu
  • Yuqian Shi
  • Bu Yi
  • Yang XuEmail author
  • Huimin Lu
  • Xiangshang Wang
  • Weihua Lu
  • Changjiang Ji


Universities may set similar courses due to disciplinary crossing. Facing the problem that undergraduates have numerous tasks and limited time, we designed a mass customization model which will automatically provide every student with a suitable curriculum to maximize their degree of satisfaction when the student enters a set of courses. Our calculating model of curriculum satisfaction is based on the assumptions that curriculum satisfaction is proportional to its similarity and that curriculum satisfaction is inversely proportional to credits. With regard to a student who chooses n courses, his satisfaction model is total degree of satisfaction divided by total credits. We manually screened out 84 pairs of courses about science and engineering, social science and humanities, and made use of their Chinese names and Chinese course description on the site of Office of Educational Administration, and segmented words based on statistical principles and calculated the course similarity by using vector space. In addition, we make supplement to curriculum similarity by the use of artificially-designed questionnaires.


Mass customization Curriculum resource Undergraduate 



This work was supported by the Fundamental Research Funds for the Central Universities of China (NS2015048), the National Natural Science Foundation of China (No. 61877002), Beijing Municipal Commission of Education PXM2019_014213_000007, National Natural Science Foundation of China (61702020), Beijing Natural Science Foundation (4172013) and Beijing Natural Science Foundation-Haidian Primitive Innovation Joint Fund (L182007).


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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • Ruijun Liu
    • 1
    • 2
  • Yuqian Shi
    • 1
    • 2
  • Bu Yi
    • 3
  • Yang Xu
    • 4
    Email author
  • Huimin Lu
    • 5
  • Xiangshang Wang
    • 1
    • 2
  • Weihua Lu
    • 6
  • Changjiang Ji
    • 7
  1. 1.School of Computer and Information EngineeringBeijing Technology and Business UniversityBeijingChina
  2. 2.Beijing Key Laboratory of Big Data Technology for Food SafetyBeijingChina
  3. 3.Department of Information ManagementPeking UniversityBeijingChina
  4. 4.School of Informatics and ComputingIndiana UniversityBloomingtonUSA
  5. 5.Kyushu Institute of TechnologyFukuokaJapan
  6. 6.College of Mechanical and Electrical EngineeringNanjing University of Aeronautics and AstronauticsNanjingChina
  7. 7.Beijing Moviebook Technology Corporation LimitedBeijingChina

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