Görme Engellilerde Okuma Becerisi: Bibliyometrik Eğilimler ve Tematik Analiz

Year 2025, Volume: 9 Issue: 21, 442 - 459, 31.08.2025

Cihan Albay , Gökhan Ilgaz

https://doi.org/10.57135/jier.1728067

Abstract

Bu çalışma, görme engelli bireylerin okuma becerilerine yönelik akademik literatürü bibliyometrik yöntemle analiz etmeyi amaçlamaktadır. Web of Science veritabanında 1981-2025 yılları arasında yayımlanan 419 akademik yayın, R Studio’da bibliometrix paketi kullanılarak incelenmiştir. Analizler, yıllık yayın eğilimlerini, etkili yazarları, kurumları, anahtar kelimeleri ve tematik kümelenmeleri değerlendirmiştir. Bulgular, teknolojik yaklaşımların ve disiplinlerarası işbirliklerinin alandaki önemini ortaya koymaktadır. Özellikle yapay zekâ ve yardımcı teknolojiler etrafında şekillenen çalışmaların, okuma süreçlerini daha erişilebilir hale getirmeyi amaçladığı anlaşılmaktadır. Bununla birlikte, çocuklara yönelik eğitimsel müdahalelerin etkisi üzerine odaklanan çalışmaların varlığı, görme engelli bireylerin erken dönemde desteklenmesinin önemini vurgulamaktadır. Braille, sesli kitaplar ve dokunsal teknolojilerle birlikte yapay zekâ destekli araçların entegrasyonu, erişilebilirliği artırmaktadır. Coğrafi analizler, yayınların çoğunlukla gelişmiş ülkelerde (ABD, Birleşik Krallık, Çin) yoğunlaştığını, gelişmekte olan ülkelerde ise araştırma kapasitesinin artırılması gerektiğini göstermektedir. Tematik analizler, erişilebilirlik, eğitim ve teknolojik uyarlamaların öne çıktığını ortaya koymuştur. Çalışma, görme engellilere yönelik daha kapsayıcı okuma stratejileri geliştirilmesine katkı sağlamayı hedeflemektedir. Gelecekte, yapay zekâ destekli teknolojilerin pedagojik yaklaşımlarla entegrasyonuna odaklanan uygulamalı araştırmalar ve çok dilli veri analizleri teşvik edilmelidir.

Keywords

görme engelliler , okuma becerileri , braille , yardımcı teknoloji

Reading Skills in the Visually Impaired: Bibliometric Trends and Thematic Analysis

Abstract

This study aims to analyze the academic literature on reading skills of visually impaired individuals using bibliometric methods. A total of 419 academic publications from 1981 to 2025, sourced from the Web of Science database, were examined using the bibliometrix package in R Studio. The analysis evaluated annual publication trends, influential authors, institutions, keywords, and thematic clusters. Findings highlight the prominence of technological approaches and interdisciplinary collaboration in the field. Notably, studies focusing on artificial intelligence and assistive technologies aim to enhance the accessibility of reading processes. Additionally, research emphasizing the impact of educational interventions for children underscores the importance of early support for visually impaired individuals. The integration of AI-supported tools with Braille, audiobooks, and tactile technologies has improved accessibility. Geographic analysis reveals that publications are predominantly concentrated in developed countries (e.g., USA, UK, China), indicating a need to enhance research capacity in developing nations. Thematic analysis identifies accessibility, education, and technological adaptations as key focus areas. The study seeks to contribute to the development of more inclusive reading strategies for the visually impaired. Future research should prioritize applied studies on integrating AI-driven technologies with pedagogical approaches and encourage multilingual data analyses.

Keywords

: Key visual impairment , reading skills , braille , assistive technology

References

• Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975. https://doi.org/10.1016/j.joi.2017.08.007
• Bara, F. (2013). Exploratory procedures employed by visually impaired children during joint book reading. Journal of Developmental and Physical Disabilities, 26(2), 151–170. https://doi.org/10.1007/s10882-013-9352-2
• Başçiftçi, F., & Eldem, A. (2017). A third eye with human-computer interaction for the visually impaired. Computers and Electrical Engineering, 59, 63–72. https://doi.org/10.1016/j.compeleceng.2017.03.023
• Bouazizi, I., Bouriss, F., & Salih-Alj, Y. (2015). Arabic reading machine for visually impaired people using TTS and OCR. Proceedings of the International Conference on Information and Communication Technologies.
• Courtney, J. (2021). SEDIQA: Sound emitting document image quality assessment in a reading aid for the visually impaired. Journal of Imaging, 7(9), 168-186. https://doi.org/10.3390/jimaging7090168
• Filiz, A. (2025). A bibliometric study on metacognition in mathematics education. Multidisciplinary Reviews, 8 (8), 2025092-2025092. https://doi.org/10.31893/multirev.2025092
• Grant, M. J. (2010). Key words and their role in information retrieval. Health Information & Libraries Journal, 27(3), 173-175.
• Kapadia, M., Kathiria, P., Mankad, S., Lakdawala, N., & Patel, J. (2024). Assistive systems for visually impaired people: A survey on current requirements and advancements. Neurocomputing, 606, 128284. https://doi.org/10.1016/j.neucom.2024.128284.
• Kao, M. A., & Mzimela, P. J. (2019). “They are visually impaired, not blind … teach them!”: Grade R in-service teachers’ knowledge of teaching pre-reading skills to visually impaired learners. South African Journal of Childhood Education, 9(1), a651. https://doi.org/10.4102/sajce.v9i1.651
• Kiyota, K., Ishibashi, T., Shimakawa, M., & Ito, K. (2022). Effects of social implementation education through the development of a digital reading device for the visually impaired. Sensors, 22(3), 1047. https://doi.org/10.3390/s22031047
• Lalitendra, M., Narsingarao, P., Sreedhar, L., Nikhita, K., & Jagadish, S. (2024). Artificial Intelligence-Powered Mobile Application to Help Visually Impaired People. International Journal of Innovative Science and Research Technology (IJISRT). https://doi.org/10.38124/ijisrt/ijisrt24apr1577.
• Matter, R., Harniss, M., Oderud, T., Borg, J., & Eide, A. (2017). Assistive technology in resource-limited environments: a scoping review. Disability and Rehabilitation: Assistive Technology, 12, 105 - 114. https://doi.org/10.1080/17483107.2016.1188170.
• P, P., Ravichandran, G., & Sujathamalini, J. (2023). Assistive and digital technology for the education of students with visual disabilities. International Journal of Research and Review, 10(2), 714-719. https://doi.org/10.52403/ijrr.20230287
• Pawluk, D. T. V., Adams, R. J., & Kitada, R. (2015). Designing haptic assistive technology for individuals who are blind or visually impaired. IEEE Transactions on Haptics, 8(3), 258–269. https://doi.org/10.1109/TOH.2015.2471300
• Salehiamiri, S., Khodabakhshi-Koolaee, A., & Falsafinejad, M. (2025). The opportunities and challenges of inclusive education for children with special needs with a focus on the role of family: A reflection of multi‐stakeholder perspective in a low‐ and middle‐income country inclusive education in a low‐ and middle‐income country. Journal of Research in Special Educational Needs. https://doi.org/10.1111/1471-3802.12750.
• Serputko, H. (2022). Comparative analysis of modern textbooks for visually impaired persons receiving primary, secondary and senior education, published in Ukraine. Scientific Papers Of Berdiansk State Pedagogical University Series Pedagogical Sciences, 1(3), 112-121. 10.31494/2412-9208-2022-1-3-112-121
• Singh, K., Kumar, T., & Varma, A. (2020). A Scientometric Review of Global Research on Information Literacy and Visually Impaired. SRELS Journal of Information Management. https://doi.org/10.17821/SRELS/2020/V57I6/151722.
• Ulbrich, E., Anđić, B., Lichtenegger, B., Ulbrich, M., & Lavicza, Z. (2024). Visualizations and pictures for the visually impaired and its connection to STEM education. Journal of Mathematics and the Arts, 18(1–2), 6–18. https://doi.org/10.1080/17513472.2024.2365086
• Wisdom, D., Balogun, O., Vincent, O., Ajayi, T., Ayetuoma, I., & Garba, A. (2024). A Hybrid Artificial Intelligence System for the Visually Impaired. 2024 IEEE 5th International Conference on Electro-Computing Technologies for Humanity (NIGERCON), 1-5. https://doi.org/10.1109/NIGERCON62786.2024.10927291.