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Individual learning is predicted by teaching management, lecturer-students relationship climate, and lecturer-students interaction |
| Tartalom: | http://real.mtak.hu/141736/ |
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| Archívum: | REAL |
| Gyűjtemény: |
Status = Published
Subject = L Education / oktatás: L1 Education (General) / oktatás általában Type = Article |
| Cím: |
Individual learning is predicted by teaching management, lecturer-students relationship climate, and lecturer-students interaction
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| Létrehozó: |
Hala, Majlinda
Xhomara, Nazmi
Shehu, Albina
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| Kiadó: |
ST Press
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| Dátum: |
2021-12
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| Téma: |
L1 Education (General) / oktatás általában
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| Tartalmi leírás: |
The study aimed to investigate the relationship between teaching management, lecturer-students relationship climate, lecturer-students interaction, and individual learning of art master students at the university. A quantitative approach was the method used in the research. The correlational research design was used. The first and second-year master's students of an art university were selected to be used in the study. An online questionnaire was used to gather the primary data. The study found that 56.2% of the variance of individual learning is explained by teaching management. It is found a high positive correlation between lecturer-students relationship climate and individual learning variables (r = .552). The study also found that 56.4% of the variance of individual learning is explained by lecturer-students interaction. The findings of the study enhanced theoretical and practical understanding as teaching management, lecturer-students relationship climate, and lecturer-students interaction are important variables that impact individual learning.
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| Nyelv: |
angol
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| Típus: |
Article
PeerReviewed
info:eu-repo/semantics/article
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| Formátum: |
text
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| Azonosító: |
Hala, Majlinda and Xhomara, Nazmi and Shehu, Albina (2021) Individual learning is predicted by teaching management, lecturer-students relationship climate, and lecturer-students interaction. Journal of Applied Technical and Educational Sciences, 11 (4). pp. 1-23. ISSN 2560-5429
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| Kapcsolat: |
291
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