BBOM association and Mutlu Keçi primary school
Bu tez size mi ait?
Bu kayıt toplu arşivden geldi. Sizinse profilinize bağlayın.
Özet (EN)
This Anthropological research tends to comprehend is effects of an alternative educational system applied in Mutlu Keçi Primary School may from a new educative approach. The research may be consider as field work which tries to find answers about how to make children learn by themselves and to make them show what they want to learn, teach them better self-expression, observe their self-improvement process and show them more reliable interactions in social environment. This is a Project of a group of parents who wants to constitute a new educational approach different from common curriculum thought to children. The purpose of this thesis is to have a complete understanding about the process of the children's learning progression; if they can canalize themselves to their own interest and wills if there are any differences in their social skills. In conclusion, the most important aim of this research is to observe if it is possible to create "a new scholar culture". Key Words: Culture, Education, School, Alternative Education, Child
Yazar
Seben Ayşe Dayı
Bu Yayına Nasıl Atıf Yapılır
Seben Ayşe Dayı (Master Thesis). BBOM association and Mutlu Keçi primary school, 2018, Yeditepe University.
Anahtar Kelimeler
Lisans
Tüm Hakları Saklıdır
Bu eser belirtilen lisans koşulları altında paylaşılmaktadır.
Yeditepe University tezlerinden daha fazlası
- Studies on cyclodextrin complexation of a poorly water soluble anti-hyperlipidemic drug, tablet formulation and characterization(2021)
- Washington ambassadors in Turkish-US relations (1927-1960)(2023)
- The relationship between mindfulness and sleep quality: The mediating role of smartphone addiction and bedtime procrastination(2023)
- The role of NATO's enlargement policy in the Russia-Ukraine crisis(2023)
- Metamorphosis of female voices: A study of the violation of women in Greek and Roman mythology and feminist rewritings reclaiming the narrative(2022)
- Knowledge distillation with foundation models for image segmentation(2023)