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Implementation of Data Mining Analysis Into the Lessons Learned System in Primary Education
Abstract:
Changing people’s function in the education system of the Republic of Serbia, as the first important step in the implementation of lessons learned (hereinafter: LL), would allow educators in primary education system to admit and openly discuss the perceived mistakes made during the working process and also share what has been observed or done with other educational units within or outside the education system of the Republic of Serbia. It is an essential prerequisite for the efficiency and implementation of the LL. The achievement of the above involves the development of the capacity for self-analysis in an atmosphere where there is no danger of being condemned or criticized for making mistakes - mistakes should not be ignored if we want to avoid a decline in educational achievement. This paper describes the basic functions and gives a suggestion for software functionality LL with the aim of improving the educational process and assisting in the professional orientation of students’ basic education. Also, the paper gives the results obtained by the author, analyzed by the software program „SPSS“ (Statistical Package for the Social Sciences) using the techniques of data mining as well as binary logistic regression.
CITATION:
IEEE format
J. Vasiljević, D. Vasiljević, “Implementation of Data Mining Analysis Into the Lessons Learned System in Primary Education,” in Sinteza 2017 - International Scientific Conference on Information Technology and Data Related Research, Belgrade, Singidunum University, Serbia, 2017, pp. 201-207. doi:10.15308/Sinteza-2017-201-207
APA format
Vasiljević, J., Vasiljević, D. (2017). Implementation of Data Mining Analysis Into the Lessons Learned System in Primary Education. Paper presented at Sinteza 2017 - International Scientific Conference on Information Technology and Data Related Research. doi:10.15308/Sinteza-2017-201-207
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