Yıl 2018, Cilt 5, Sayı 3, Sayfalar 491 - 509 2018-09-19

Modeling Course Achievements of Elementary Education Teacher Candidates with Artificial Neural Networks

Ergün Akgün [1] , Metin Demir [2]

64 77

In this study, it was aimed to predict elementary education teacher candidates’ achievements in “Science and Technology Education I and II” courses by using artificial neural networks. It was also aimed to show the independent variables importance in the prediction. In the data set used in this study, variables of gender, type of education, field of study in high school and transcript information of 14 courses including end-of-term letter grades were collected. The fact that the artificial neural network performance in this study was R=0.84 for the Science and Technology Education I course, and R=0.84 for the Science and Technology Education II course shows that the network performance overlaps with the findings obtained from the related studies.

Elementary Education, Science and Technology Teaching, Data Mining, Artificial Neural Networks
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Birincil Dil en
Konular Eğitim Bilimleri
Yayımlanma Tarihi September
Dergi Bölümü Makaleler
Yazarlar

Orcid: 0000-0002-7271-6900
Yazar: Ergün Akgün (Sorumlu Yazar)
Kurum: Uşak Üniversitesi
Ülke: Turkey


Yazar: Metin Demir
Kurum: Dumlupınar Üniversitesi
Ülke: Turkey


Bibtex @araştırma makalesi { ijate444073, journal = {International Journal of Assessment Tools in Education}, issn = {}, eissn = {2148-7456}, address = {İzzet KARA}, year = {2018}, volume = {5}, pages = {491 - 509}, doi = {10.21449/ijate.444073}, title = {Modeling Course Achievements of Elementary Education Teacher Candidates with Artificial Neural Networks}, key = {cite}, author = {Demir, Metin and Akgün, Ergün} }
APA Akgün, E , Demir, M . (2018). Modeling Course Achievements of Elementary Education Teacher Candidates with Artificial Neural Networks. International Journal of Assessment Tools in Education, 5 (3), 491-509. DOI: 10.21449/ijate.444073
MLA Akgün, E , Demir, M . "Modeling Course Achievements of Elementary Education Teacher Candidates with Artificial Neural Networks". International Journal of Assessment Tools in Education 5 (2018): 491-509 <http://dergipark.gov.tr/ijate/issue/37036/444073>
Chicago Akgün, E , Demir, M . "Modeling Course Achievements of Elementary Education Teacher Candidates with Artificial Neural Networks". International Journal of Assessment Tools in Education 5 (2018): 491-509
RIS TY - JOUR T1 - Modeling Course Achievements of Elementary Education Teacher Candidates with Artificial Neural Networks AU - Ergün Akgün , Metin Demir Y1 - 2018 PY - 2018 N1 - doi: 10.21449/ijate.444073 DO - 10.21449/ijate.444073 T2 - International Journal of Assessment Tools in Education JF - Journal JO - JOR SP - 491 EP - 509 VL - 5 IS - 3 SN - -2148-7456 M3 - doi: 10.21449/ijate.444073 UR - http://dx.doi.org/10.21449/ijate.444073 Y2 - 2018 ER -
EndNote %0 International Journal of Assessment Tools in Education Modeling Course Achievements of Elementary Education Teacher Candidates with Artificial Neural Networks %A Ergün Akgün , Metin Demir %T Modeling Course Achievements of Elementary Education Teacher Candidates with Artificial Neural Networks %D 2018 %J International Journal of Assessment Tools in Education %P -2148-7456 %V 5 %N 3 %R doi: 10.21449/ijate.444073 %U 10.21449/ijate.444073
ISNAD Akgün, Ergün , Demir, Metin . "Modeling Course Achievements of Elementary Education Teacher Candidates with Artificial Neural Networks". International Journal of Assessment Tools in Education 5 / 3 (Eylül 2018): 491-509. http://dx.doi.org/10.21449/ijate.444073