Abstract
With the burgeoning of IT industry, more and more companies and universities concentrate on the scientific evaluation of science-and-engineering students. Existing evaluation strategies typically lie on grades or scores of the courses taken by students, which have obvious drawbacks nowadays and cannot lead to a proper improvement of education management. This paper proposes an overall student evaluation system architecture that includes three levels, i.e. data collection infrastructure which comprises student data collection and student data transmission, data center which is composed of four sub-levels, and unified portal which defines unified applications and classes of visiting terminals. In the proposed architecture, the main contribution lie in the upper most sub-level of data center, i.e. evaluation services. Four categories of student evaluation services, i.e. moral trait, civic literacy, knowledge level and comprehensive ability, are defined. Furthermore, in order to have a satisfactory feedback in the practical teaching process, the most important comprehensive ability for science-and-engineering students is fractionized into four sub-categories and visualized from several different aspects for a good feedback in practical teaching process.
Keywords
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Li, B., Liu, B., Lin, W., Zhang, Y.: Performance analysis of clustering algorithm under two kinds of big data architecture. J. High Speed Netw. 23(1), 49–57 (2017)
Wang, C., Wang, Q., Huang, Q., Ye, F.: A classification method based on improved bia model for operation and maintenance of information system in large electric power enterprise. In: Barolli, L., Zhang, M., Wang, X. (eds.) EIDWT 2017. LNDECT, vol. 6. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-59463-7_64
Huang, Q., Wang, X., Du, X., Ye, F.: A hybrid architecture for video transmission. In: Proceedings of the 2nd Asia-Pacific Engineering and Technology Conference, pp. 217–223. DEStech, Shanghai (2017)
Ren, S., Hu, Z., Wu, B.: Teaching reform and practice on fostering engineering capability for the undergraduate student. In: Zhu, M. (ed.) ICCIC 2011. CCIS, vol. 235, pp. 246–251. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-24022-5_41
Zheng, L.J., Ren, Y.C.: A software capability evaluation method for computer majored students. Comput. Technol. Dev. 6, 233–240 (2013). (In Chinese with English Abstract)
Ren, X.L.: The study and exploration of practice and application computer personnel training mode. Microcomput. Appl. 30(12), 23–25 (2014). (In Chinese with English Abstract)
Su, Z.H.: Research on the evaluation of undergraduates’ theoretical foundation and application skills based on FLFM clustering algorithm. Master Thesis, Northeast Normal University, Changchun, China (2014). (In Chinese with English Abstract)
Xing, H.H.: The study of evaluation system of ability of students major in computer application in higher vocational schools. Master Thesis, Shandong Normal University, Jinan, China (2016). (In Chinese with English Abstract)
Tang, X.T.: The design and implementation of student ability evaluation system under the environment of J2EE and Android. Master Thesis, Guangxi University, Nanning, China (2015). (In Chinese with English Abstract)
Zhou, Z., Shin, J., Zhang, L., Gurudu, S., Gotway, M., Liang, J.: Fine-tuning convolutional neural networks for biomedical image analysis: actively and incrementally. In: Proceedings of the 2017 International Conference on Computer Vision and Pattern Recognition, pp. 4761–4772. IEEE, Hawaii (2017)
Jiang, Q.Y., Xie, J.X., Ye, J.: Chapter 3: Mathematical Model., 4th edn. Higher Education Press, Beijing, China (2011)
Acknowledgments
This work is partly supported by the National Natural Science Foundation of China under Grant No. 61300122, the 2017 Jiangsu Province Postdoctoral Research Funding Project under Grant No. 1701020C, the 2017 Six Talent Peaks Endorsement Project of Jiangsu under Grant No. XYDXX-078, the Fundamental Research Funds for the Central Universities under Grant No. 2017B42214 and 2013B01814, and the National Key Technology Research and Development Program of the Ministry of Science and Technology of China under Grant No. 2016YFC0400910 and 2017ZX07104001.
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Huang, Q., Ye, F., Chen, Y., Xu, P. (2018). A Cloud-Based Evaluation System for Science-and-Engineering Students. In: Zhou, Q., Miao, Q., Wang, H., Xie, W., Wang, Y., Lu, Z. (eds) Data Science. ICPCSEE 2018. Communications in Computer and Information Science, vol 902. Springer, Singapore. https://doi.org/10.1007/978-981-13-2206-8_43
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DOI: https://doi.org/10.1007/978-981-13-2206-8_43
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