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Religiosity Prediction by Gender with Artificial Intelligence in 2020-2025 in Turkey
Abstract
Religiosity continues to be the subject of both qualitative and quantitative studies in many branches of science. In this context, the dimensions of religiosity and its relationship with other variables are discussed. The aim of this study is to predict the future status of religiosity in the context of gender, based on current religiosity data. As a method, Artificial Neural Networks (ANN) technique, which provides both a systematic review description and a prediction for the future, is based on. In the sample of Turkey, a total of 75 master's and doctoral theses which based on quantitative methods were scanned and made ready for processing. Religiosity scores were normalized and converted into a standard scoring system. MATLAB software was preferred to benefit from mathematical algorithms. In ANN, predictions were made for the future by using the Time Series Method. According to the results obtained from the research, the religiosity of male and female students decreased after a certain period of time. In addition, religiosity in male and female adults continues to increase in the general total. Accordingly, it can be stated that the religiosity of young people who receive high school and undergraduate education is affected by the environment and time they live in. In addition, it can be said that there is an increase in the level of religiosity as a result of both the lifestyles of adults and the socio-cultural situation in our country.
Keywords
References
- Ahmadi, Büşra Kılıç. “Kendini Aldatma Ve Dindarlık İlişkisi”. Uludağ Üniversitesi İlahiyat Fakültesi Dergisi 26/2 (20 September 2017), 51–76.
- Arvas, Fatma Balcı. “Kişisel Değerler ve Dindarlık İlişkisi Üzerine Bir İnceleme”. İnsan ve Toplum Bilimleri Araştırmaları Dergisi 7/5 (29 December 2018), 40–63. https://doi.org/10.15869/itobiad.463831
- Aydın, Betül. Çocuk ve Ergen Psikolojisi. Ankara: Nobel Akademik Yayıncılık, 2015.
- Çakır, Fatma Sönmez. Yapay Sinir Ağları Matlab Kodları ve Matlab Toolbox Çözümleri. Nobel Akademik Yayıncılık, 2. Basım., 2019.
- Çelik, Burak. Yapay Sinir Ağları Metodolojisi Ile Zaman Serisi Analizi : Teori ve Uygulama. İstanbul: Marmara Üniversitesi, Sosyal Bilimler Enstitüsü, Yüksek Lisans Tezi, 2008.
- Çelik, Celaleddin. Geleneksel Şehir Dindarlığından Modern Kent Dindarlığına: Dindarlığın Değişen Kentsel Görünümleri. İstanbul: Hikmetevi yayınları, 2013.
- Dinçer, Serkan. Eğitim Bilimlerinde Uygulamalı Meta-Analiz. Ankara: Pegem Akademi, 2014.
- Efe, Önder - Kaynak, Okyay. Yapay Sinir Ağları ve Uygulamaları. İstanbul: Boğaziçi Üniversitesi, 2000.
Details
Primary Language
English
Subjects
Religious Studies
Journal Section
Research Article
Publication Date
December 31, 2021
Submission Date
September 10, 2021
Acceptance Date
December 10, 2021
Published in Issue
Year 2021 Number: 56
APA
Kızılgeçit, M., Çinici, M., & Tuysuz, E. (2021). Religiosity Prediction by Gender with Artificial Intelligence in 2020-2025 in Turkey. İlahiyat Tetkikleri Dergisi, 56, 283-307. https://doi.org/10.29288/ilted.993560
AMA
1.Kızılgeçit M, Çinici M, Tuysuz E. Religiosity Prediction by Gender with Artificial Intelligence in 2020-2025 in Turkey. ilted. 2021;(56):283-307. doi:10.29288/ilted.993560
Chicago
Kızılgeçit, Muhammed, Murat Çinici, and Esra Tuysuz. 2021. “Religiosity Prediction by Gender With Artificial Intelligence in 2020-2025 in Turkey”. İlahiyat Tetkikleri Dergisi, nos. 56: 283-307. https://doi.org/10.29288/ilted.993560.
EndNote
Kızılgeçit M, Çinici M, Tuysuz E (December 1, 2021) Religiosity Prediction by Gender with Artificial Intelligence in 2020-2025 in Turkey. İlahiyat Tetkikleri Dergisi 56 283–307.
IEEE
[1]M. Kızılgeçit, M. Çinici, and E. Tuysuz, “Religiosity Prediction by Gender with Artificial Intelligence in 2020-2025 in Turkey”, ilted, no. 56, pp. 283–307, Dec. 2021, doi: 10.29288/ilted.993560.
ISNAD
Kızılgeçit, Muhammed - Çinici, Murat - Tuysuz, Esra. “Religiosity Prediction by Gender With Artificial Intelligence in 2020-2025 in Turkey”. İlahiyat Tetkikleri Dergisi. 56 (December 1, 2021): 283-307. https://doi.org/10.29288/ilted.993560.
JAMA
1.Kızılgeçit M, Çinici M, Tuysuz E. Religiosity Prediction by Gender with Artificial Intelligence in 2020-2025 in Turkey. ilted. 2021;:283–307.
MLA
Kızılgeçit, Muhammed, et al. “Religiosity Prediction by Gender With Artificial Intelligence in 2020-2025 in Turkey”. İlahiyat Tetkikleri Dergisi, no. 56, Dec. 2021, pp. 283-07, doi:10.29288/ilted.993560.
Vancouver
1.Muhammed Kızılgeçit, Murat Çinici, Esra Tuysuz. Religiosity Prediction by Gender with Artificial Intelligence in 2020-2025 in Turkey. ilted. 2021 Dec. 1;(56):283-307. doi:10.29288/ilted.993560
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