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Journals / Uluslararası Sosyal Bilimler Akademi Dergisi / 2026 / Sayı: 24

AI-Assisted Digital Character and Content Development for History of Science Education

Bilim Tarihi Eğitimine Yönelik Yapay Zekâ Destekli Dijital Karakter ve İçerik Geliştirme

Mehtap Demir(ADIYAMAN ÜNİVERSİTESİ)0000-0001-6568-6080
Daniyel Alp0009-0008-7864-8858
Sami Yusuf Dost0009-0004-6076-7972
Pages
1900–1924
Publication Date
2026-10-28
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In conclusion, the study presents a practical example of content development for presenting history of science content through AI-assisted digital characters and short-form educational materials.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Presenting the work of scientists who have made significant contributions to the history of science in digital environments is important for disseminating scientific and cultural heritage to wider audiences and integrating it into educational processes.
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Key Findings & Data:During the content production process, scripts were created using Google Gemini, visual content was prepared with Adobe Firefly, and video and audio were produced using Kling 3.0.
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Conclusion & Impact:In conclusion, the study presents a practical example of content development for presenting history of science content through AI-assisted digital characters and short-form educational materials.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Bilim Tarihi Eğitimi · Yapay Zekâ · Dijital Karakter Tasarımı

Abstract

Presenting the work of scientists who have made significant contributions to the history of science in digital environments is important for disseminating scientific and cultural heritage to wider audiences and integrating it into educational processes. In this study, AI-assisted digital characters and educational content were developed based on the life stories and scientific work of Al-Jazari, the Banū Mūsā Brothers, Ibn al-Haytham, Al-Biruni, Al-Farabi, Taqi al-Din, and Cahit Arf. A microlearning approach was used to structure the content, and short and focused digital educational materials were designed. During the content production process, scripts were created using Google Gemini, visual content was prepared with Adobe Firefly, and video and audio were produced using Kling 3.0. Subsequently, Ray 3 was used for video editing and maintaining continuity between scenes, while Veo 3.1 was used to enhance visual quality. The resulting digital content was integrated into an HTML-based educational interface. In conclusion, the study presents a practical example of content development for presenting history of science content through AI-assisted digital characters and short-form educational materials.

Özet

Bilim tarihine önemli katkılar sunan bilim insanlarının çalışmalarının dijital ortamlarda sunulması, bilimsel ve kültürel mirasın daha geniş kitlelere ulaştırılması ve eğitim süreçlerine bütünleştirilmesi açısından önem taşımaktadır. Bu çalışmada, El-Cezeri, Banu Musa Kardeşler, İbn-i Heysem, Biruni, Farabi, Takiyüddin ve Cahit Arf'ın hayat hikâyeleri ile bilimsel çalışmaları temel alınarak yapay zekâ destekli dijital karakterler ve eğitim içerikleri geliştirildi. İçeriklerin yapılandırılmasında mikro öğrenme yaklaşımından yararlanılarak kısa ve odaklı dijital eğitim materyalleri tasarlandı. İçerik üretim sürecinde Google Gemini ile senaryolar oluşturuldu, Adobe Firefly ile görsel içerikler hazırlandı, Kling 3.0 ile video ve ses üretimi gerçekleştirildi. Sürecin devamında Ray 3 ile video düzenleme ve sahneler arası bütünlük sağlandı, Veo 3.1 kullanılarak görsel kalite iyileştirildi. Elde edilen dijital içerikler HTML tabanlı bir eğitim arayüzünde bütünleştirildi. Sonuç olarak çalışma, bilim tarihi içeriklerinin yapay zekâ destekli dijital karakterler ve kısa süreli eğitim materyalleri aracılığıyla sunulmasına yönelik uygulanabilir bir içerik geliştirme örneği ortaya koymaktadır.

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Cite This Article

Demir, M., Alp, D., Dost, S. Y. (2026). AI-Assisted Digital Character and Content Development for History of Science Education. Uluslararası Sosyal Bilimler Akademi Dergisi, Sayı: 24, 1900–1924. https://doi.org/10.47994/usbad.2011213

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References (27)

  1. Al-Jazari. (1974). The book of knowledge of ingenious mechanical devices (Kitāb fī maʿrifat al-ḥiyal al-handasiyya) (D. R. Hill, Trans. & Ed.). D. Reidel Publishing Company.
  2. Arslan, K. (2020). Eğitimde yapay zekâ ve uygulamaları. Batı Anadolu Eğitim Bilimleri Dergisi, 11(1), 71-88. https://izlik.org/JA76ZX87TN
  3. Ayduz, S. (2009–2010). Taqī al-Dīn ibn Maʿrūf al-Rāsid: A bio-bibliographical essay. Akademik Araştırmalar Dergisi, 43, 137–153.
  4. Buchem, I., & Hamelmann, H. (2010). Microlearning: a strategy for ongoing professional development. eLearning Papers, 21(7), 1-15.
  5. DaCosta, B. (2025). Speaking with the past: Constructing AI-generated historical characters for cultural heritage and learning. Heritage, 8 (9), 387. https://doi.org/10.3390/heritage8090387
  6. Gürlek, Y., Bozkoyun, E., Ulutürk, M., & Zeyrekgündüz, F. (2023). Yapay zekânın eğitime etkileri ve uygulamaları. International Journal of Original Educational Research, 1(1), 25-132. https://ijoedu.com/index.php/pub/article/view/26
  7. Höttecke, D., & Silva, C. C. (2011). Why implementing history and philosophy in school science education is a challenge: An analysis of obstacles. Science & Education, 20(3), 293-316. https://doi.org/10.1007/s11191-010-9285-4
  8. Hug, T. (Ed.). (2007). Didactics of microlearning: Concepts, discourses and examples. Waxmann.
  9. Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F.,. & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and individual differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274
  10. Khan, N., & Saunderson, S. (2024). Generative artificial intelligence in education: A narrative literature review. World Journal on Educational Technology: Current Issues, 16(2), 112–126. https://doi.org/10.18844/wjet.v16i2.9217
  11. Leong, K., Sung, A., Au, D., & Blanchard, C. (2021). A review of the trend of microlearning. Journal of Work-Applied Management, 13(1), 88–102. https://doi.org/10.1108/JWAM-10-2020-0044
  12. Mahony, J. D. (2013). Gauging the earth. The Mathematical Gazette, 97(540), 413–420. https://doi.org/10.1017/S0025557200000140
  13. Maslikov, S. Y. (2019). Biruni's method of measuring the Earth. Geodesy and Cartography, 949(7), 57–64. https://doi.org/10.22389/0016-7126-2019-949-7-57-64
  14. Matthews, M. R. (1989). A role for history and philosophy in science teaching. Interchange, 20(2), 3-15.
  15. Matthews, M. R. (1994). Science teaching: The role of history and philosophy of science. Routledge.
  16. Mihaylov, I. (2025). The Great Book of Music of Al Farabi: A medieval model for a musico-theoretical research. De Musica, 28(1), 25–34. https://doi.org/10.54103/2465-0137/28394
  17. Pataranutaporn, P., Danry, V., Leong, J., Punpongsanon, P., Novy, D., Maes, P., & Sra, M. (2021). AI-generated characters for supporting personalized learning and well-being. Nature Machine Intelligence, 3, 1013–1022. https://doi.org/10.1038/s42256-021-00417-9
  18. Pataranutaporn, P., Leong, J., Danry, V., Lawson, A. P., Maes, P., & Sra, M. (2022, October). AI-generated virtual instructors based on liked or admired people can improve motivation and foster positive emotions for learning. In 2022 IEEE Frontiers in Education Conference (FIE) (pp. 1-9). IEEE. https://doi.org/10.1109/FIE56618.2022.9962478
  19. Özcep, F. (2020). Physical earth and its sciences in Istanbul: A journey from pre-modern (Islamic) to modern times. History of Geo- and Space Sciences, 11, 173–198. https://doi.org/10.5194/hgss-11-173-2020
  20. Sabra, A. I. (1989). The optics of Ibn al-Haytham: Books I–III: On direct vision (2 vols.). The Warburg Institute.
  21. Sertoz, A. S. (2013). A scientific biography of Cahit Arf (1910–1997). arXiv. https://doi.org/10.48550/arXiv.1301.3699
  22. Shail, M. S. (2019). Using micro-learning on mobile applications to increase knowledge retention and work performance: a review of literature. Cureus, 11(8). https://doi.org/10.7759/cureus.5307
  23. Tang, K. S. (2024). Informing research on generative artificial intelligence from a language and literacy perspective: A meta-synthesis of studies in science education. Science Education, 108(5), 1329–1355. https://doi.org/10.1002/sce.21875
  24. Treerayapiwat, N., Diteeyont, W., & Jongsermtrakoon, S. (2024). An application and impact of generative artificial intelligence on learning and teaching in higher education: A systematic review. Journal of Education and Innovation, 26(4), 489–505.
  25. T.C. Sanayi ve Teknoloji Bakanlığı. (2026, 13 Haziran). Türkiye Yapay Zekâ Eylem Planı açıklandı. https://www.sanayi.gov.tr/medya/haber/turkiye-yapay-zek%C3%A2-eylem-plani-aciklandi
  26. Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education–where are the educators?. International journal of educational technology in higher education, 16(1), 39. https://doi.org/10.1186/s41239-019-0171-0
  27. Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F.,. & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and individual differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274