Analysis of a rule-based curriculum plan optimization system with Spearman rank correlation

Didem ABİDİN; Hafize Şen ÇAKIR

Makale detayları

Analysis of a rule-based curriculum plan optimization system with Spearman rank correlation

Yazarlar:

Didem ABİDİN | Hafize Şen ÇAKIR

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2014 Vol.22 Issue 1, pp.176-190

Belge Tipi:

Makale

Yayın Tarihi:

5/2014

Belge Dili:

Türkçe

Document ID (Org No.):

2000743126

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632

Özet:

 

In corporations, accurate planning should be applied to manage the  in-service training task within an optimum time period and without hindering  the working tempo of the employees. For this reason, it is better to  consider the curriculum planning task as a timetabling problem. However,  when the timetables are prepared manually, it may turn out to be a  complicated and time-consuming problem. In this study, it is aimed to  evaluate the results of software introduced previously, which seeks to find  a solution to the curriculum planning problem of in-service training  programs in corporations using a rule-based genetic algorithm (GA). The  input data of the GA is the prerequisite rule set of the modules of the  training program, where these rules are used for the fitness function of the  system. The results are compared with the suggestion of an expert trainer  using a nonparametric correlation test, and the best parameter combination  of the GA giving the most similar result to that of the expert's is  determined. According to the tests, the results gathered are considered to  be 97% reliable when compared with the suggested module range.

 

In corporations, accurate planning should be applied to manage the  in-service training task within an optimum time period and without hindering  the working tempo of the employees. For this reason, it is better to  consider the curriculum planning task as a timetabling problem. However,  when the timetables are prepared manually, it may turn out to be a  complicated and time-consuming problem. In this study, it is aimed to  evaluate the results of software introduced previously, which seeks to find  a solution to the curriculum planning problem of in-service training  programs in corporations using a rule-based genetic algorithm (GA). The  input data of the GA is the prerequisite rule set of the modules of the  training program, where these rules are used for the fitness function of the  system. The results are compared with the suggestion of an expert trainer  using a nonparametric correlation test, and the best parameter combination  of the GA giving the most similar result to that of the expert's is  determined. According to the tests, the results gathered are considered to  be 97% reliable when compared with the suggested module range.

Makale detayları

Analysis of a rule-based curriculum plan optimization system with Spearman rank correlation

Yazarlar: Didem ABİDİN | Hafize Şen ÇAKIR

Yayıncı: TUBITAK

Dergi: Turkish Journal of Electrical Engineering and Computer Science 2014 Vol.22 Issue 1, pp.176-190

Belge Tipi: Makale

Yayın Tarihi: 5/2014

Belge Dili: Türkçe

Document ID (Org No.): 2000743126

Sıklık: İki Aylık

eISSN: 1303-6203

pISSN: 1300-0632

Sayı

Yazarlar:

Didem ABİDİN | Hafize Şen ÇAKIR

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2014 Vol.22 Issue 1, pp.176-190

Belge Tipi:

Makale

Yayın Tarihi:

5/2014

Belge Dili:

Türkçe

Document ID (Org No.):

2000743126

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632