A Comprehensive Teaching Reform Model for a Computer Networks Course Based on Integrated Information Systems

Authors

  • Jingmin Yang Minnan Normal University https://orcid.org/0000-0001-6467-7545
  • Trong-Yen Lee National Taipei University of Technology
  • Baoxing Chen Minnan Normal University
  • Wenjie Zhang Minnan Normal University

DOI:

https://doi.org/10.3991/ijet.v14i18.11040

Keywords:

National Standards of Teaching Quality, Engineering Education Accreditation, Connotation Construction, Applied Talents, Integrated Information Systems

Abstract


in integrating and realigning the applied skills training at Minnan Normal University (MNNU), we analyzed the current situation and problems in the teaching of the Computer Networks course based on national standards on teaching quality and the Engineering Education Accreditation standards of China. Guided by a self-developed educational management system, teaching ex-perimentation platform and questionnaire survey system, based in a cloud com-puting platform, we adopted a problem-oriented research method to explore comprehensive teaching reform from four perspectives: teaching methods, teacher development, resource guarantees and continual improvement. The teaching reform cases show that the students’ ability to solve problems was sig-nificantly improved, and the goal of cultivating student knowledge, ability and quality has been achieved.

Author Biographies

Jingmin Yang, Minnan Normal University

School of Computer Science senior engineer

Trong-Yen Lee, National Taipei University of Technology

college of electrical Engineering and Computer Science professor

Baoxing Chen, Minnan Normal University

Lab of Granular Computing professor

Wenjie Zhang, Minnan Normal University

School of Computer Science professor

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Published

2019-09-30

How to Cite

Yang, J., Lee, T.-Y., Chen, B., & Zhang, W. (2019). A Comprehensive Teaching Reform Model for a Computer Networks Course Based on Integrated Information Systems. International Journal of Emerging Technologies in Learning (iJET), 14(18), pp. 76–91. https://doi.org/10.3991/ijet.v14i18.11040

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Papers