INTELLIGENT METHODS FOR ATTESTATION OF SCIENTIFIC AND TEACHING STAFF. RASCH MODEL

Authors

  • Margarita Vasileva Vasil Levski National Military University, Artillery, Air Defense and CIS Faculty, Department of Computer Systems and Technologie (BG)
  • Milena Lambeva Vasil Levski National Military University, Artillery, Air Defense and CIS Faculty, Department of Computer Systems and Technologie (BG)

DOI:

https://doi.org/10.17770/etr2017vol2.2665

Keywords:

attestation of personnel, attestation of scientific-pedagogical staff, one-parameter Rasch model

Abstract

Introduced in many universities quality management systems suggest the development of appropriate technologies for the assessment of learning results. Unfortunately, some of the real tasks remain outside the scope of the systems due to complexity, non-formalization, unawareness or lack of adequate mathematical models, software and more. Such is the task of attestation of the research and teaching staff, which is being periodically solved in universities. The work proposed model for the formalization of the problem of attestation of scientific and pedagogical staff, based on an adapted version of the one-parameter Rasch model for dichotomic data. The model allows software implementation and help to reduce the subjectivism in evaluating the performance of teachers in universities.

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References

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Saint Petersburg State University, “Two-factor multi-criteria methodology of certification of scientific and pedagogical workers of St. Petersburg state University on the basis of indicators of efficiency of their research and educational activities based on their personal achievements. Report on the research work”, 2011. [Online]. Available: http://csr.spbu.ru/wp-content/uploads/2012/03/report_ attestation .doc [Accessed April 9, 2015].

Vasil Levski National Military University, “Rules for recruitment, development, assessment and certification of academic staff in the National Military University "Vasil Levski"”. [Online]. Available: http://nvu.bg/sites/default/files/nmu_files/norm_baza/pravilnici_nvu/4-Prav_podb-ocen-razv-atestir-akadem-sastav.pdf [Accessed March 5, 2015].

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Published

2017-06-15

How to Cite

[1]
M. Vasileva and M. Lambeva, “INTELLIGENT METHODS FOR ATTESTATION OF SCIENTIFIC AND TEACHING STAFF. RASCH MODEL”, ETR, vol. 2, pp. 171–175, Jun. 2017, doi: 10.17770/etr2017vol2.2665.