Bibliyoterapi Kullanarak Akran Zorbalığı ile Mücadele: Bir Kapsayıcı Eğitim Stratejisi

Date

2022-05-01

Author

Taneri, Pervin Oya

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

603
views

0
downloads

URI

https://hdl.handle.net/11511/100179

Collections

Department of Educational Sciences, Book / Book chapter

Suggestions

OpenMETU
Core

The effect of self-esteem enrichment bibliocounseling program on the self-esteem level sixth grade students Karacan, Nurten; Güneri, Oya; Department of Educational Sciences (2009) This study aims to design and investigate the effect of “Self-Esteem Enrichment Bibliocounseling Program” on the self-esteem level of sixth grade students. Twenty four subjects (13 female, 11 male) out of 166 total sixth grade students from a university affiliated private middle school in Ankara, were randomly selected based on Coopersmith Self-Esteem Inventory (CSEI) total scores and assigned to treatment and no-treatment control group conditions. An experimental design with one selfesteem treatment group ...
Bifonksiyonel Skuaramit Organokatalizörler ile Malononitrilin Çalkona Enantiyoseçici Michael Katılması Sargın, Nurdan; Tanyeli, Cihangir (2015-03-22)
Visualization of deep networks trained for bipolardisorder classification by using fnirs measurements Oğuzhan, Babacan; Ulusoy, İlkay; Department of Electrical and Electronics Engineering (2021-2-03) Deep learning applications have achieved impressive performances on many medi-cal problems such as classification of disorders, effects of a treatment or unspottedsymptoms of a disease, etc. While modern deep learning progress is impressive insuch areas, genuine understandings of its working principles are not clear. For thatmatter, the term black box has often been associated with deep learning algorithms.The majority of previous studies have concentrated on networks’ successes and havecomputed their per...
Bifonksiyonel OrganokatalizörlerinDekarboksilatif Aldol Tepkimelerinde İncelenmesi Bayer, Ezgi; Tanyeli, Cihangir (null; 2017-09-10)
Deep learning for the classification of bipolar disorder using fNIRS measurements Evgin, Haluk Barkın; Ulusoy, İlkay; Department of Electrical and Electronics Engineering (2021-2-3) Functional Near-Infrared Spectroscopy (fNIRS) is a neural imaging method that is proved to be prominent in the classification of psychiatric disorders, and assertive accuracy results are being obtained using fNIRS. High temporal resolution, feasibility, and partial endurance to head movements are the traits that are highlighting fNIRS among other imaging methods. fNIRS data is a one dimensional multi-channeled time series. In this thesis, bipolar disorder is classified using some state of the art deep learn...

Citation Formats

P. O. Taneri, Bibliyoterapi Kullanarak Akran Zorbalığı ile Mücadele: Bir Kapsayıcı Eğitim Stratejisi. 2022.