| Yazarlar (2) |
İlda Özdemir
|
Prof. Dr. Dilber POLAT
Kırşehir Ahi Evran Üniversitesi, Türkiye |
| Özet |
| The aim of this study is to predict science teachers’ professional burnout and competence variables with artificial neural network. Therefore burnout, self-efficacy and competence surveys were carried out to science teachers. An artificial neural network has been established with the data obtained. According to the findings, self-efficacy and competence of science teachers may be forecasted professional burnout at various rates. Predictions of the network for the three dimensions of burnout: emotional exhaustion, depersonalization and personal accomplishment is as follows: The performance of network is 40% for “emotional exhaustion”, is 50% for “personal success”, is about 20% for “depersonalization” and is 80% for “competence”. Finally, according to all the results of the study, some suggestions have been developed. |
| Anahtar Kelimeler |
| Makale Türü | Özgün Makale |
| Makale Alt Türü | ESCI dergilerinde yayınlanan tam makale |
| Dergi Adı | International Journal of Educational Studies |
| Dergi ISSN | 2312-458 |
| Dergi Tarandığı Indeksler | ESCI: Emerging Sources Citation Index |
| Makale Dili | İngilizce |
| Basım Tarihi | 12-2017 |
| Cilt No | 4 |
| Sayı | 3 |
| Sayfalar | 49 / 64 |
| Makale Linki | file:///C:/Windows/system32/config/systemprofile/Downloads/1935-15003-2-PB.pdf |
