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Humanized Computing for Mass Customization Application in Curriculum Management

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Abstract

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.

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Acknowledgements

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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Authors and Affiliations

  1. School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, 100048, China

    Ruijun Liu, Yuqian Shi & Xiangshang Wang

  2. Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing, 100048, China

    Ruijun Liu, Yuqian Shi & Xiangshang Wang

  3. Department of Information Management, Peking University, Beijing, 100871, China

    Bu Yi

  4. School of Informatics and Computing, Indiana University, Bloomington, IN, 47408, USA

    Yang Xu

  5. Kyushu Institute of Technology, 1-1 Sensui-cho, Tobata-ku, Kitakyushu-shi, Fukuoka, Japan

    Huimin Lu

  6. College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China

    Weihua Lu

  7. Beijing Moviebook Technology Corporation Limited, Beijing, 100020, China

    Changjiang Ji

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  1. Ruijun Liu
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  2. Yuqian Shi
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  4. Yang Xu
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  5. Huimin Lu
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  6. Xiangshang Wang
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  7. Weihua Lu
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Correspondence to Yang Xu.

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Liu, R., Shi, Y., Yi, B. et al. Humanized Computing for Mass Customization Application in Curriculum Management. Mobile Netw Appl 25, 1484–1495 (2020). https://doi.org/10.1007/s11036-019-01374-9

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  • DOI: https://doi.org/10.1007/s11036-019-01374-9

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