Araştırma Makalesi

The Potential of Artificial Intelligence as the Learning Ecosystem of the Future in Adult Religious Education

Cilt: 12 Sayı: Din ve Yapay Zeka 15 Mayıs 2025
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The Potential of Artificial Intelligence as the Learning Ecosystem of the Future in Adult Religious Education

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In today's information society, the rapid pace of technological advancements and the increasing complexity of information processing necessitate that individuals acquire a broader and more diverse set of skills. In this dynamic environment, adopting innovative approaches in education has become essential for individuals to develop their competencies and keep pace with the demands of the era. This study aims to examine the potential of artificial intelligence (AI) technologies in adult religious education and to evaluate how these technologies can contribute to learning processes. The research investigates whether AI systems function as mechanisms that completely replace the roles of religious educators or as tools that enhance existing educational processes. The study employs a qualitative methodology to understand the impact of AI in adult religious education. Initially, a detailed review of literature in cognitive sciences, AI technologies, computer sciences, and adult religious education was conducted. This review provided a comprehensive understanding of the development and applications of AI technologies in education while also identifying existing research gaps. The literature review also covered the historical role of AI in education and the innovations it offers today. Furthermore, the study analyzed the effectiveness of innovative applications such as intelligent tutoring systems, personalized learning platforms, gamification tools, and virtual reality technologies. The degree to which these systems address the individual needs of adult learners was evaluated through detailed analysis. The research also placed special emphasis on ethical considerations, addressing issues such as data privacy, human-machine interaction, and the limitations of AI in transmitting values. Proposed solutions to mitigate these challenges were presented. These ethical discussions also encompassed the question of how technology can align with a human-centered approach, forming an integral part of the study. All data were evaluated using thematic analysis, providing a comprehensive understanding of the role of AI in religious education. The findings indicate that AI technologies hold significant potential in adult religious education. However, these technologies cannot fully replicate the indispensable roles of human educators, such as fostering empathy, providing ethical guidance, and offering spiritual support. The most effective use of AI in education lies in its role as a complementary tool that enhances existing processes. Technological innovations, particularly gamification and virtual reality applications, demonstrate significant potential to make learning experiences more engaging. However, challenges were observed regarding adult learners’ adaptation to these innovations. Personalized learning platforms offer structured support in areas such as text interpretation, exploring ethical issues, and learning ritual practices, effectively addressing individual learning needs. Nonetheless, the importance of human-centered pedagogical approaches in developing emotional intelligence, social belonging, and critical thinking has been reaffirmed. Therefore, AI technologies demonstrate potential in supporting personalized learning and enhancing student engagement in religious education. However, their integration must prioritize the preservation of pedagogical values and the reinforcement of educators’ guiding roles. This ensures that technological advancements can be utilized while maintaining the human-centered nature of education.

Anahtar Kelimeler

Destekleyen Kurum

Bu araştırmayı desteklemek için dış fon kullanılmamıştır.

Etik Beyan

Bu çalışma, etik kurul izni gerektirmeyen nitelikte olup kullanılan veriler literatür taraması/yayınlanmış kaynaklar üzerinden elde edilmiştir. Çalışmanın hazırlanma sürecinde bilimsel ve etik ilkelere uyulduğu ve yararlanılan tüm çalışmaların kaynakçada belirtildiği beyan olunur.

Kaynakça

  1. Altmeyer, Peter. “Mustererkennung (Pattern-Recognition)”. Dermatologische Differenzialdiagnose: Der Weg zur klinischen Diagnose, (2007), 475-518.
  2. Anke, Jürgen, Uwe Fischer - René Lemke. “Integration digitaler Sprachassistenten in den Kundenservice am Beispiel der Stadtwerke Leipzig Integration of Digital Voice Assistants in Customer Service: The Example of Stadtwerke Leipzig”. Digitalisierung von Staat und Verwaltung. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. Münster. (2019), 25-36.
  3. Apt, Wenke - Priesack, Kai. “KI und Arbeit – Chance und Risiko zugleich AI and Work – Both an Opportunity and a Risk”. (Hrsg. Prof. Dr. Volker Wittpahl), iit-Themenband Künstliche Intelligenz Technologie | Anwendung | Gesellschaft, (Springer Vieweg), (2019), 221-238.
  4. Barberi, Alessandro, Missomelius, Petra - Swertz, Christian. “Editorial 1/2018: Educational Data Mining und Learning Analytics: Möglichkeiten und Grenzen der Vermessung des digitalen Lernens Editorial 1/2018: Educational Data Mining and Learning Analytics: Opportunities and Limitations of Measuring Digital Learning”. Medienimpulse 56.1, (2018), 1-14.
  5. Bormann, Mark, Heyligers, Katharina, Kerres, Michael - Niesenhaus, Jörg. “Spielend Lernen! Spielend Lernen? Eine empirische Annäherung an die Möglichkeit einer Synthese von Spielen und Lernen Learning Through Play! Learning Through Play? An Empirical Approach to the Possibility of Synthesizing Play and Learning”. Workshop Proceedings der Tagungen Mensch & Computer, DeLFI und Cognitive Design, Berlin: Logos Verlag. ISBN: 978-3-8325-2007-6, (2008), 339-343.
  6. Bresinsky, Philip, Hans-Christian Gräfe - Michael Schiessl. “Wie die Maschine uns narrt How the Machine Deceives Us”. Transfer 4, 112-116.
  7. Buchberger, Ernst. Sprachverstehen in der Artificial Intelligence Language Understanding in Artificial Intelligence. Stuttgart: Teubner, 1984.
  8. Buntins, Katja, Reichow, Insa - Rashid, Faisal. “Eine Typologie zur Analyse des Einsatzes von KI-Methoden in der beruflichen Bildung A Typology for Analyzing the Use of AI Methods in Vocational Education and Training”. BWP 53-1, 13-17. www.bwp-zeitschrift. de/dienst/publikationen/de/19392

Ayrıntılar

Birincil Dil

İngilizce

Konular

Din Eğitimi

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

15 Mayıs 2025

Gönderilme Tarihi

27 Aralık 2024

Kabul Tarihi

5 Mayıs 2025

Yayımlandığı Sayı

Yıl 2025 Cilt: 12 Sayı: Din ve Yapay Zeka

Kaynak Göster

APA
Kaya, Y. (2025). The Potential of Artificial Intelligence as the Learning Ecosystem of the Future in Adult Religious Education. Eskişehir Osmangazi Üniversitesi İlahiyat Fakültesi Dergisi, 12(Din ve Yapay Zeka), 127-156. https://doi.org/10.51702/esoguifd.1607220
AMA
1.Kaya Y. The Potential of Artificial Intelligence as the Learning Ecosystem of the Future in Adult Religious Education. ESOGUIFD. 2025;12(Din ve Yapay Zeka):127-156. doi:10.51702/esoguifd.1607220
Chicago
Kaya, Yakup. 2025. “The Potential of Artificial Intelligence as the Learning Ecosystem of the Future in Adult Religious Education”. Eskişehir Osmangazi Üniversitesi İlahiyat Fakültesi Dergisi 12 (Din ve Yapay Zeka): 127-56. https://doi.org/10.51702/esoguifd.1607220.
EndNote
Kaya Y (01 Mayıs 2025) The Potential of Artificial Intelligence as the Learning Ecosystem of the Future in Adult Religious Education. Eskişehir Osmangazi Üniversitesi İlahiyat Fakültesi Dergisi 12 Din ve Yapay Zeka 127–156.
IEEE
[1]Y. Kaya, “The Potential of Artificial Intelligence as the Learning Ecosystem of the Future in Adult Religious Education”, ESOGUIFD, c. 12, sy Din ve Yapay Zeka, ss. 127–156, May. 2025, doi: 10.51702/esoguifd.1607220.
ISNAD
Kaya, Yakup. “The Potential of Artificial Intelligence as the Learning Ecosystem of the Future in Adult Religious Education”. Eskişehir Osmangazi Üniversitesi İlahiyat Fakültesi Dergisi 12/Din ve Yapay Zeka (01 Mayıs 2025): 127-156. https://doi.org/10.51702/esoguifd.1607220.
JAMA
1.Kaya Y. The Potential of Artificial Intelligence as the Learning Ecosystem of the Future in Adult Religious Education. ESOGUIFD. 2025;12:127–156.
MLA
Kaya, Yakup. “The Potential of Artificial Intelligence as the Learning Ecosystem of the Future in Adult Religious Education”. Eskişehir Osmangazi Üniversitesi İlahiyat Fakültesi Dergisi, c. 12, sy Din ve Yapay Zeka, Mayıs 2025, ss. 127-56, doi:10.51702/esoguifd.1607220.
Vancouver
1.Yakup Kaya. The Potential of Artificial Intelligence as the Learning Ecosystem of the Future in Adult Religious Education. ESOGUIFD. 01 Mayıs 2025;12(Din ve Yapay Zeka):127-56. doi:10.51702/esoguifd.1607220

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