Cluster Computing

, Volume 22, Supplement 6, pp 14959–14971 | Cite as

Application effect analysis of the test system of track and field web course based on software programming method

  • Weiliang LinEmail author
  • Dongyang Wang
  • Haiyan Cui
  • Nian Li


This paper tries to improve systematicness of the test module’s construction of the track and field (T&F) web course in physical education schools. Methods: literature study, expert interview, system design method, software programming method, questionnaire survey. Results: first, the test interface has the controllable multi-functional keys, the object and navigation path is easy to use and the links are smooth. Second, the question quality module of the question library is featured in its abundant test questions, various question types, reasonable evaluation standards and proper question quantity. Third, the diversity of the question combination helps inspire students and their creative thinking. Fourth, the effect of test administration is excellent, which can form a test paper quickly and easily, and possess functions of marking prompts and statistics. Conclusions: this research is applicable to the web-based test pattern of track and field teaching for physical education majors (selective course, required course, minor course), the operation guidance form for the test shall be strengthened; the editing and update of test papers shall be adjusted and arranged timely according to the teaching practice problems.


Physical education schools Track and field Web course Test system Application effect 



This research paper is one of the results of Young and Middle-Age Teachers Overseas Training Project of International Exchange and Cooperation Project of Guangzhou University (Build High Level University, Comprehensive Budget for Physical Education Department), the author conducted a further and deep research on the administration system of track and field web course, with the help of and the inspiration from Professor Jepkorir Rose Chepyator-Thomson’s courses, during his study period in University of Georgia as a visiting scholar. Meanwhile, please allow me to express my gratitude to Guangzhou University, it was their help especially the T&F teachers of school of physical education and sports science and other the related students in research team, that made sure this research can be carried out successfully.


  1. 1.
    Guo, X.Q.: Construction of test modules for internet courses. Chin. Med. Educ. Technol. 17(6), 44–47 (2003)Google Scholar
  2. 2.
    Harris, I.M., Reidt, S.L., Lounsbery, J.L., et al.: Assessment of core knowledge during ambulatory care advanced pharmacy practice experiences using online modules and pre- and post-testing. Curr. Pharm. Teach. Learn. 8(2), 213–219 (2016)CrossRefGoogle Scholar
  3. 3.
    Biswal, P.K., Sambho, H.P., Biswas, S., et al.: A discrete event system approach to on-line testing of digital circuits with measurement limitation. Eng. Sci. Technol. Int. J. 19(3), 1473–1487 (2016)CrossRefGoogle Scholar
  4. 4.
    Phillips, J.A.: Replacing traditional live lectures with online learning modules: effects on learning and student perceptions. Curr. Pharm. Teach. Learn. 7(6), 738–744 (2015)CrossRefGoogle Scholar
  5. 5.
    Camden, C., Foley, V., Anaby, D., Shikako-Thomas, K., Missiuna, C., et al.: Using an evidence-based online module to improve parents’ ability to support their child with developmental coordination disorder. Disabil. Health J. 9(3), 406–415 (2016)CrossRefGoogle Scholar
  6. 6.
    Pate, K.A., Pate, A.N., Sampognaro, L.A., Brady, J.H., Caldwell, D.J., et al.: Design, implementation, and evaluation of an online elective course on current topics in pharmacy. Curr. Pharm. Teach. Learn. 9(4), 528–536 (2017)CrossRefGoogle Scholar
  7. 7.
    Porras, L., Drezner, J., Dotson, A., Stafford, H., Chung, E.H., et al.: Novice interpretation of screening electrocardiograms and impact of online training. J. Electrocardiol. 49(3), 462–466 (2016)CrossRefGoogle Scholar
  8. 8.
    Shea, P., Bidjerano, T., et al.: Learning presence: theory of self-efficacy, sef-regulation, and the development of a communities of inquiry in online and blended learning environments. J. Comput. Educ. 55(4), 1721–1731 (2010)CrossRefGoogle Scholar
  9. 9.
    Fasugba, O., Mitchell, B.G., Beckingham, W., Bennett, N., Gardner, A., et al.: Point prevalence surveys of healthcare-associated urinary tract infections: development, pilot testing and evaluation of face-to-face and online educational packages. Infect. Dis. Health. 22(4), 187–194 (2017)CrossRefGoogle Scholar
  10. 10.
    Swigart, V., Liang, Z., et al.: Digital resources for nursing education: open courseware and massive open online courses. Int. J. Nurs. Sci. 3(3), 307–313 (2016)Google Scholar
  11. 11.
    Szpunar, K.K., Jing, H.G., Schacter, D.L., et al.: Overcoming overconfidence in learning from video-recorded lectures: implications of interpolated testing for online education. J. Appl. Res. Mem Cognit. 3(3), 161–164 (2014)CrossRefGoogle Scholar
  12. 12.
    Wan, W.J., Huang, Z.W., et al.: Designation and development of teaching network of collegiate physical education. J. Beijing Sport Univ. 29(10), 1416–1417 (2006)Google Scholar
  13. 13.
    Cao, Z.F.: The internet design of good course base on biodynamics of ASP.NET. J. Hubei Wuhan Phys. Coll. 5(16), 12–17 (2010)Google Scholar
  14. 14.
    Mao, K., Zhan, J., Yang, A.D., et al.: The network construction of university physical education. J. Beijing Univ. Phys. Educ. 3(28), 380–409 (2005)Google Scholar
  15. 15.
    Brooksbank, P.A., Luks, E.M., et al.: Testing isomorphism of modules. J. Algebra. 320(11), 4020–4029 (2008)MathSciNetCrossRefGoogle Scholar
  16. 16.
    Chen, D.P., Li, J.P., Ni, W., Liu, F.M., et al.: Application of internet in the teaching of building materials. J. Arch. Educ. Inst. High. Learn. 42(1), 22–23 (2002)Google Scholar
  17. 17.
    Arbaugh, J.B.: Sage, guide, both, or even more? An examination of instructor activity in online MBA courses. J. Comput. Educ. 55(3), 1234–1244 (2010)CrossRefGoogle Scholar
  18. 18.
    Dewan, D.: Distance education teacher as a leader. Learning from the path goal leadership theory. MERLOT J. Online Learn. Teach. 6(3), 673–685 (2010)Google Scholar
  19. 19.
    Forest, F., Rashed, A., Huselstein, J.J., Martiré, T., Enrici, P., et al.: Fast power cycling protocols implemented in an automated test bench dedicated to IGBT module ageing. Microelectron. Reliab. 55(1), 81–92 (2015)CrossRefGoogle Scholar
  20. 20.
    Freund, J., Arbeiter, F., Abou-Sena, A., Franza, F., Kondo, K., et al.: Tritium transport calculations for the IFMIF tritium release test module. Fus. Eng. Des. 89(7–8), 1600–1604 (2014)CrossRefGoogle Scholar
  21. 21.
    Winder, C.B., LeBlanc, S.J., Haley, D.B., Lissemore, K.D., Duffield, T.F., et al.: Comparison of online, hands-on, and a combined approach for teaching cautery disbudding technique to dairy producers. J. Dairy Sci. 101(1), 840–849 (2018)CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Weiliang Lin
    • 1
    Email author
  • Dongyang Wang
    • 2
  • Haiyan Cui
    • 1
  • Nian Li
    • 2
  1. 1.College of Physical Education and Sports ScienceGuangzhou UniversityGuangzhouChina
  2. 2.College of Physical Education and Sports ScienceShaanxi Normal UniversityXi’anChina

Personalised recommendations