Araştırma Makalesi
BibTex RIS Kaynak Göster

ORMAN ENDÜSTRİ MÜHENDİSLİĞİ BÖLÜMÜ LİSANS EĞİTİMİNDE YAPAY ZEKÂNIN KULLANIMI: POTANSİYELLER, ZORLUKLAR VE GELECEK YOL HARİTASI

Yıl 2025, Cilt: 8 Sayı: 2, 428 - 437, 31.12.2025
https://doi.org/10.55930/jonas.1778889

Öz

Orman Endüstri Mühendisliği bölümlerinde “lisans eğitimi”, öğrencilere orman kaynaklarının sürdürülebilir yönetimi, orman ürünlerinin işlenmesi ve üretimi, kalite kontrolü ve endüstriyel süreçlerin optimizasyonu gibi konularda derinlemesine bilgi ve beceriler kazandırmayı hedefler. Yapay zekânın bu alandaki eğitime entegrasyonunun, hem eğitim metodolojilerinde hem de endüstriyel uygulamalarda yeni potansiyeller sunması beklenilirken, aynı zamanda önemli zorlukları da beraberinde getirebileceği düşünülmektedir. Bu çalışmada, orman endüstri mühendisliği bölümünde yapay zekânın kullanımı ile ilgili potansiyeller, zorluklar ve gelecek için bir yol haritası sunulması amaçlanmıştır. Bunun yanı sıra, alanındaki literatüre bu konuda katkı sunmak, mevcut durumu analiz etmek, gelecekteki araştırma ve uygulamalar için bir altlık oluşturmak da çalışmanın amaçlar arasındadır. Araştırmada verileri elde etmek için “anket yöntemi” kullanılmıştır. Bunun için, öğrenci ve öğretim elemanlarına ayrı ayrı anketler hazırlanmış ve uygulanmıştır. Elde edilen bulgulara göre, hem öğrencilerin hem de öğretim elemanlarının yapay zekâya ilişkin algıları genel olarak olumlu olmakla birlikte, belirli ölçüde temkinli bir yaklaşım sergiledikleri görülmektedir. Öğrenciler, yapay zekânın öğrenme materyallerini daha erişilebilir hale getirmesi, kişiselleştirilmiş öğrenme deneyimleri sunması ve mesleki gelişime katkı sağlaması açısından güçlü bir potansiyele sahip olduğunu ifade etmiştir. Öğretim elemanları ise yapay zekâ tabanlı araçların ders materyali geliştirme, öğrenmeyi kolaylaştırma ve kariyer fırsatlarını artırma yönünde önemli katkılar sunabileceğini belirtmiştir. Bununla birlikte, her iki grup da etik, gizlilik ve kritik düşünme becerilerinde olası zayıflamalara ilişkin endişelerini dile getirmiştir. Bu sonuçlar, yapay zekânın eğitim süreçlerine entegrasyonunun pedagojik katkılarının yanı sıra, etik ve yönetsel boyutlarda da dikkatli planlamalar gerektirdiğini ortaya koymaktadır.

Teşekkür

Araştırmanın yürütülebilmesi için gerekli izin ve kolaylığı sağlayan BARÜ Orman Fakültesi Dekanlığına, araştırmaya katılan tüm öğretim elemanı ve öğrencilerimize teşekkür ederiz. Veri toplama aracının geliştirilmesinde destek veren tüm uzmanlarımıza ve BARÜ Etik Kuruluna da teşekkür ederiz.

Kaynakça

  • AI Report (2023). Artificial Intelligence and the Future of Teaching and Learning. Retrieved from: https://tech.ed.gov/
  • Akdeniz, M., & Özdinç, F. (2021). Examination of Turkey-based studies on artificial intelligence in education. Van Yüzüncü Yıl University Journal of Faculty of Education, 18(1), 912–932.
  • Arslan, K. (2020). Artificial intelligence and its applications in education. Western Anatolia Journal of Educational Sciences, 11(1), 71–88.
  • Bülbül, H. İ., & Ersöz, B. (2022). Artificial intelligence, virtual reality, and the metaverse in education. In: Interpretable and Explainable Artificial Intelligence and Current Issues, Nobel Publishing, 149-183.
  • Coşkun, F., & Gülleroğlu, H. D. (2021). Historical development of artificial intelligence and its use in education. Ankara University Journal of Faculty of Educational Sciences (JFES), 54(3), 947–966.
  • Feyzi, A., Yıldız, A., Kılınç, S., Aytekin, N., Adalı, R., & Kurnaz, K. (2023). The impact of artificial intelligence on education. International Journal of Social and Humanities Sciences Research (JSHSR), 10(98), 2100–2107.
  • Genç, M. A., Danış, S., & Hamarta, H. K. Ö. (2023). The use of artificial intelligence in the education of gifted individuals in visual arts. Necmettin Erbakan University Ereğli Faculty of Education Journal, 5(Special Issue), 497–519.
  • Gülsüm, M., & Coştu, F. (2022). The use of artificial intelligence in education: A descriptive content analysis study. Karadeniz Technical University Journal of Social Sciences Institute, 12(23), 171–193.
  • İşler, B., & Kılıç, M. (2021). The use and development of artificial intelligence in education. New Media Electronic Journal, 5(1), 1–11.
  • Kaygın, B., Kurt, R., & İmren, E. (2015). A study on the employment situation of graduates of forest product industry in Bartin University. Bartın Faculty of Forestry Journal, 17(25–26), 54–61.
  • Koç, K. H., Kurtoğlu, A., & Erdinler, E. S. (2009). A restructuring model in Forest Industrial Engineering education and training. Proceedings Book, 71-81.
  • Küçükali, R., & Coşkun, H. C. (2021). Digitalization in education and the role of artificial intelligence in school management. International Journal of Leadership Studies: Theory and Practice, 4(2), 124–135.
  • Özkol, İ., Doğan, K., & Köseali, G. (2019). Use of AI-supported chatbots in EBYS applications. In: Information Management and Information Security, 229–250.
  • Taşçı, G., & Çelebi, M. (2020). A new paradigm in education: “Artificial intelligence in higher education.” OPUS International Journal of Society Researches, 16(29), 2346–2370.
  • Uzun, Y., Tümtürk, A. Y., & Öztürk, H. (2021). The use of artificial intelligence in education today and in the future. 1st International Conference on Applied Engineering and Natural Sciences.
  • Viberg, O., et al. (2024). What explains teachers' trust of AI in education across six countries? PP. 1-29. https://doi.org/10.48550/arXiv.2312.01627
  • Vieriu, A. M., & Petrea, G. (2025). The impact of artificial intelligence (AI) on students’ academic development. Education Sciences, 15(3), 343-355. https://doi.org/10.3390/educsci15030343
  • Yılmaz, Y., Yılmaz Uzelli, D., Yıldırım, D., Akın, E. K., & Kaya, D. Ö. (2021). Views of health sciences faculty students on artificial intelligence and its use in healthcare. Süleyman Demirel University Journal of Health Sciences, 12(3), 297–308.
  • Yim, I. H. Y. (2024). Teachers’ perceptions, attitudes, and acceptance of artificial intelligence (AI) educational learning tools: An exploratory study on AI literacy for young students. Future Educ. Res. 2024;2: 318–345. https://doi.org/10.1002/fer3.65

USE OF ARTIFICIAL INTELLIGENCE IN UNDERGRADUATE EDUCATION OF THE DEPARTMENT OF FOREST INDUSTRIAL ENGINEERING: POTENTIALS, CHALLENGES AND FUTURE ROADMAP

Yıl 2025, Cilt: 8 Sayı: 2, 428 - 437, 31.12.2025
https://doi.org/10.55930/jonas.1778889

Öz

Undergraduate education in Forest Industrial Engineering departments aims to provide students with in-depth knowledge and skills in topics such as the sustainable management of forest resources, the processing and production of forest products, quality control, and the optimization of industrial processes. While the integration of artificial intelligence into education in this field is expected to offer new potential in both educational methodologies and industrial applications, it is also believed that it may present significant challenges. This study aims to present the potential, challenges, and a roadmap for the future of the use of artificial intelligence in the Forest Industrial Engineering department. Furthermore, the study aims to contribute to the literature on this topic, analyse the current situation, and establish a framework for future research and applications. A survey method was used to collect data in the study. For this purpose, separate surveys were prepared and administered to students and faculty. The findings indicate that while both students and faculty have generally positive perceptions of artificial intelligence, they also exhibit a somewhat cautious approach. Students expressed that AI has strong potential to make learning materials more accessible, provide personalized learning experiences, and contribute to professional development. Faculty members, on the other hand, stated that AI-based tools could significantly contribute to improving course materials, facilitating learning, and enhancing career opportunities. However, both groups expressed concerns about potential impairments in ethics, privacy, and critical thinking skills. These results demonstrate that integrating AI into educational processes requires careful planning in ethical and administrative dimensions, in addition to its pedagogical benefits.

Teşekkür

We would like to express our gratitude to the Dean’s Office of the Faculty of Forestry, Bartın University, for providing the necessary permissions and support for conducting this research. We also thank all the faculty members and students who participated in the study. Special thanks are extended to the experts who contributed to the development of the data collection tool and to the Ethics Committee of Bartın University for their approval.

Kaynakça

  • AI Report (2023). Artificial Intelligence and the Future of Teaching and Learning. Retrieved from: https://tech.ed.gov/
  • Akdeniz, M., & Özdinç, F. (2021). Examination of Turkey-based studies on artificial intelligence in education. Van Yüzüncü Yıl University Journal of Faculty of Education, 18(1), 912–932.
  • Arslan, K. (2020). Artificial intelligence and its applications in education. Western Anatolia Journal of Educational Sciences, 11(1), 71–88.
  • Bülbül, H. İ., & Ersöz, B. (2022). Artificial intelligence, virtual reality, and the metaverse in education. In: Interpretable and Explainable Artificial Intelligence and Current Issues, Nobel Publishing, 149-183.
  • Coşkun, F., & Gülleroğlu, H. D. (2021). Historical development of artificial intelligence and its use in education. Ankara University Journal of Faculty of Educational Sciences (JFES), 54(3), 947–966.
  • Feyzi, A., Yıldız, A., Kılınç, S., Aytekin, N., Adalı, R., & Kurnaz, K. (2023). The impact of artificial intelligence on education. International Journal of Social and Humanities Sciences Research (JSHSR), 10(98), 2100–2107.
  • Genç, M. A., Danış, S., & Hamarta, H. K. Ö. (2023). The use of artificial intelligence in the education of gifted individuals in visual arts. Necmettin Erbakan University Ereğli Faculty of Education Journal, 5(Special Issue), 497–519.
  • Gülsüm, M., & Coştu, F. (2022). The use of artificial intelligence in education: A descriptive content analysis study. Karadeniz Technical University Journal of Social Sciences Institute, 12(23), 171–193.
  • İşler, B., & Kılıç, M. (2021). The use and development of artificial intelligence in education. New Media Electronic Journal, 5(1), 1–11.
  • Kaygın, B., Kurt, R., & İmren, E. (2015). A study on the employment situation of graduates of forest product industry in Bartin University. Bartın Faculty of Forestry Journal, 17(25–26), 54–61.
  • Koç, K. H., Kurtoğlu, A., & Erdinler, E. S. (2009). A restructuring model in Forest Industrial Engineering education and training. Proceedings Book, 71-81.
  • Küçükali, R., & Coşkun, H. C. (2021). Digitalization in education and the role of artificial intelligence in school management. International Journal of Leadership Studies: Theory and Practice, 4(2), 124–135.
  • Özkol, İ., Doğan, K., & Köseali, G. (2019). Use of AI-supported chatbots in EBYS applications. In: Information Management and Information Security, 229–250.
  • Taşçı, G., & Çelebi, M. (2020). A new paradigm in education: “Artificial intelligence in higher education.” OPUS International Journal of Society Researches, 16(29), 2346–2370.
  • Uzun, Y., Tümtürk, A. Y., & Öztürk, H. (2021). The use of artificial intelligence in education today and in the future. 1st International Conference on Applied Engineering and Natural Sciences.
  • Viberg, O., et al. (2024). What explains teachers' trust of AI in education across six countries? PP. 1-29. https://doi.org/10.48550/arXiv.2312.01627
  • Vieriu, A. M., & Petrea, G. (2025). The impact of artificial intelligence (AI) on students’ academic development. Education Sciences, 15(3), 343-355. https://doi.org/10.3390/educsci15030343
  • Yılmaz, Y., Yılmaz Uzelli, D., Yıldırım, D., Akın, E. K., & Kaya, D. Ö. (2021). Views of health sciences faculty students on artificial intelligence and its use in healthcare. Süleyman Demirel University Journal of Health Sciences, 12(3), 297–308.
  • Yim, I. H. Y. (2024). Teachers’ perceptions, attitudes, and acceptance of artificial intelligence (AI) educational learning tools: An exploratory study on AI literacy for young students. Future Educ. Res. 2024;2: 318–345. https://doi.org/10.1002/fer3.65
Toplam 19 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Hayvansal Üretim (Diğer)
Bölüm Araştırma Makalesi
Yazarlar

Bulent Kaygın

Ayjeren Charyyeva Bu kişi benim

Ayşe Kaçmaz Bu kişi benim

Gönderilme Tarihi 9 Eylül 2025
Kabul Tarihi 27 Aralık 2025
Yayımlanma Tarihi 31 Aralık 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 8 Sayı: 2

Kaynak Göster

APA Kaygın, B., Charyyeva, A., & Kaçmaz, A. (2025). USE OF ARTIFICIAL INTELLIGENCE IN UNDERGRADUATE EDUCATION OF THE DEPARTMENT OF FOREST INDUSTRIAL ENGINEERING: POTENTIALS, CHALLENGES AND FUTURE ROADMAP. Bartın University International Journal of Natural and Applied Sciences, 8(2), 428-437. https://doi.org/10.55930/jonas.1778889
AMA Kaygın B, Charyyeva A, Kaçmaz A. USE OF ARTIFICIAL INTELLIGENCE IN UNDERGRADUATE EDUCATION OF THE DEPARTMENT OF FOREST INDUSTRIAL ENGINEERING: POTENTIALS, CHALLENGES AND FUTURE ROADMAP. JONAS. Aralık 2025;8(2):428-437. doi:10.55930/jonas.1778889
Chicago Kaygın, Bulent, Ayjeren Charyyeva, ve Ayşe Kaçmaz. “USE OF ARTIFICIAL INTELLIGENCE IN UNDERGRADUATE EDUCATION OF THE DEPARTMENT OF FOREST INDUSTRIAL ENGINEERING: POTENTIALS, CHALLENGES AND FUTURE ROADMAP”. Bartın University International Journal of Natural and Applied Sciences 8, sy. 2 (Aralık 2025): 428-37. https://doi.org/10.55930/jonas.1778889.
EndNote Kaygın B, Charyyeva A, Kaçmaz A (01 Aralık 2025) USE OF ARTIFICIAL INTELLIGENCE IN UNDERGRADUATE EDUCATION OF THE DEPARTMENT OF FOREST INDUSTRIAL ENGINEERING: POTENTIALS, CHALLENGES AND FUTURE ROADMAP. Bartın University International Journal of Natural and Applied Sciences 8 2 428–437.
IEEE B. Kaygın, A. Charyyeva, ve A. Kaçmaz, “USE OF ARTIFICIAL INTELLIGENCE IN UNDERGRADUATE EDUCATION OF THE DEPARTMENT OF FOREST INDUSTRIAL ENGINEERING: POTENTIALS, CHALLENGES AND FUTURE ROADMAP”, JONAS, c. 8, sy. 2, ss. 428–437, 2025, doi: 10.55930/jonas.1778889.
ISNAD Kaygın, Bulent vd. “USE OF ARTIFICIAL INTELLIGENCE IN UNDERGRADUATE EDUCATION OF THE DEPARTMENT OF FOREST INDUSTRIAL ENGINEERING: POTENTIALS, CHALLENGES AND FUTURE ROADMAP”. Bartın University International Journal of Natural and Applied Sciences 8/2 (Aralık2025), 428-437. https://doi.org/10.55930/jonas.1778889.
JAMA Kaygın B, Charyyeva A, Kaçmaz A. USE OF ARTIFICIAL INTELLIGENCE IN UNDERGRADUATE EDUCATION OF THE DEPARTMENT OF FOREST INDUSTRIAL ENGINEERING: POTENTIALS, CHALLENGES AND FUTURE ROADMAP. JONAS. 2025;8:428–437.
MLA Kaygın, Bulent vd. “USE OF ARTIFICIAL INTELLIGENCE IN UNDERGRADUATE EDUCATION OF THE DEPARTMENT OF FOREST INDUSTRIAL ENGINEERING: POTENTIALS, CHALLENGES AND FUTURE ROADMAP”. Bartın University International Journal of Natural and Applied Sciences, c. 8, sy. 2, 2025, ss. 428-37, doi:10.55930/jonas.1778889.
Vancouver Kaygın B, Charyyeva A, Kaçmaz A. USE OF ARTIFICIAL INTELLIGENCE IN UNDERGRADUATE EDUCATION OF THE DEPARTMENT OF FOREST INDUSTRIAL ENGINEERING: POTENTIALS, CHALLENGES AND FUTURE ROADMAP. JONAS. 2025;8(2):428-37.