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Adaptive Testing Based on Knowledge Space Theory

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Cyber Security Intelligence and Analytics (CSIA 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1342))

Abstract

At present, most of the tests are still testing the students’ ability level, lacking the diagnosis of the students’ knowledge structure and knowledge level. This thesis is guided by the knowledge space theory to design and implement a student knowledge structure testing system. The system can test the knowledge structure of the students according to the students’ answering conditions, so that students can understand the weak links that they can be targeted in their learning. On the other hand, teachers can design programs suitable for students’ specific situations, carry out teaching in a targeted manner, and realize “teach students in accordance with their aptitude” in a certain sense. After the system development is completed, a certain amount of testing is carried out to verify the feasibility of the system.

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References

  1. Xie, S.: Analysis of the relationship in the knowledge structure. Comput. Eng. Appl. 38(A), 243–244 (2002)

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Author information

Authors and Affiliations

  1. Department of Information Engineering, Inner Mongolia Vocational and Technical College of Mechatronics, Hohhot, 010070, The Inner Mongolia Autonomous Region, China

    Wenhui Yin

Authors
  1. Wenhui Yin
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Correspondence to Wenhui Yin .

Editor information

Editors and Affiliations

  1. Shanghai University of Medicine and Health Sciences, Shanghai, China

    Zheng Xu

  2. Department Software Engineering and Game Development, Kennesaw State University, Marietta, GA, USA

    Reza M. Parizi

  3. School of Engineering and Sciences, Tecnologico de Monterrey, Puebla, Mexico

    Octavio Loyola-González

  4. Assistant Professor in Practice, University of Texas at San Antonio, Boerne, TX, USA

    Xiaolu Zhang

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© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Yin, W. (2021). Adaptive Testing Based on Knowledge Space Theory. In: Xu, Z., Parizi, R.M., Loyola-González, O., Zhang, X. (eds) Cyber Security Intelligence and Analytics. CSIA 2021. Advances in Intelligent Systems and Computing, vol 1342. Springer, Cham. https://doi.org/10.1007/978-3-030-70042-3_60

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