Yükseköğretim Kurumlarında Dijital Doygunluğun SWOT ve Yapay Zekâ Destekli NLP Analizi

Cansu Şahin Kölemen; Ersin Şahin

doi:10.53444/deubefd.1732003

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Öz

Yükseköğretim Kurumlarında Dijital Doygunluğun SWOT ve Yapay Zekâ Destekli NLP Analizi

Öz

Bu çalışma, üniversitelerde görev yapan öğretim elemanlarının dijital doygunluk düzeylerini SWOT analizi ve yapay zekâ destekli metin analizi yöntemiyle değerlendirmeyi amaçlamaktadır. Araştırma, dijital dönüşümün yalnızca teknolojik altyapı yatırımları ile sınırlı olmadığı; aynı zamanda insan kaynağı, kurum kültürü ve yönetişim yapılarının da dönüşümüne ihtiyaç duyduğu varsayımıyla yola çıkmıştır. 20 akademisyenle gerçekleştirilen araştırmada, dijital doygunluğa ilişkin 18 maddelik ölçek uygulanmıştır. Ayrıca örneklemin içinden seçilen 5 akademisyenle yapılan yarı yapılandırılmış görüşmeler aracılığıyla nitel veriler elde edilmiştir. Yapılan SWOT analizi doğrultusunda kurumun dijital dönüşüm sürecindeki mevcut durumu dört başlık altında incelenmiştir. Analiz sonuçlarına göre; veri yönetimi, iletişim ve değişim yönetimi, dijital işbirlikleri ile nitelikli insan kaynağı, üniversitenin güçlü yönleri arasında öne çıkmaktadır. Buna karşın, performans izleme sistemlerinin yetersizliği, mali sürdürülebilirliğe ilişkin kaygılar, teknolojik altyapıdaki uyumsuzluklar ve yenilikçilik eksikliği gibi unsurlar ise zayıf yönler olarak belirlenmiştir. Yapay zekâ tabanlı doğal dil işleme tekniği kullanılarak SWOT maddeleri arasındaki içeriksel benzerlikler ve stratejik uyumsuzluklar ayrıntılı bir şekilde analiz edilmiştir. Elde edilen bulgular, üniversitelerin dijital dönüşüm süreçlerinde güçlü yönlerini koruyarak zayıf alanlarını iyileştirmeleri; mevcut fırsatları stratejik avantajlara dönüştürmeleri ve olası tehditlere karşı bütüncül önlemler geliştirmeleri gerektiğini ortaya koymaktadır. Üniversite yöneticilerine, politika yapıcılara ve akademisyenlere dijital dönüşüm süreçlerine yönelik uygulanabilir, veri temelli ve stratejik bir yol haritası sunmaktadır.

Anahtar Kelimeler

Dijital doygunluk , dijital dönüşüm , stratejik yönetim.

SWOT and AI-Supported NLP Analysis of Digital Saturation in Higher Education Institutions

Abstract

This study aims to evaluate the digital saturation levels of teaching staff working at universities using SWOT analysis and artificial intelligence-supported text analysis methods. The research is based on the assumption that digital transformation is not limited to technological infrastructure investments; it also requires the transformation of human resources, institutional culture, and governance structures. In the study conducted with 20 academics, an 18-item scale related to digital saturation was applied. In addition, qualitative data was obtained through semi-structured interviews with 5 academics selected from the sample. In line with the SWOT analysis, the current status of the institution's digital transformation process was examined under four headings. According to the analysis results, data management, communication and change management, digital collaborations, and qualified human resources stand out as the university's strengths. On the other hand, the inadequacy of performance monitoring systems, concerns about financial sustainability, incompatibilities in the technological infrastructure, and a lack of innovation were identified as weaknesses. The content similarities and strategic inconsistencies between SWOT items were analysed in detail using artificial intelligence-based natural language processing techniques. The findings reveal that universities need to improve their weak areas while maintaining their strengths in digital transformation processes, convert existing opportunities into strategic advantages, and develop comprehensive measures against potential threats. It provides university administrators, policymakers, and academics with an applicable, data-driven, and strategic roadmap for digital transformation processes.

Keywords

Digital maturity , digital transformation , strategic management.

References

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Details

Primary Language

Turkish

Subjects

Educational Technology and Computing

Journal Section

Research Article

Authors

Cansu Şahin Kölemen ^*
0000-0003-2376-7899
Türkiye

Ersin Şahin
0000-0003-4466-7483
Türkiye

Publication Date

September 30, 2025

Submission Date

July 1, 2025

Acceptance Date

September 23, 2025

Published in Issue

Year 2025 Number: 65

DOI

https://doi.org/10.53444/deubefd.1732003

IZ

https://izlik.org/JA28EJ33RC

APA

Şahin Kölemen, C., & Şahin, E. (2025). Yükseköğretim Kurumlarında Dijital Doygunluğun SWOT ve Yapay Zekâ Destekli NLP Analizi. Dokuz Eylül Üniversitesi Buca Eğitim Fakültesi Dergisi, 65, 3520-3552. https://doi.org/10.53444/deubefd.1732003

Öz

Öz

Yükseköğretim Kurumlarında Dijital Doygunluğun SWOT ve Yapay Zekâ Destekli NLP Analizi

Öz

Anahtar Kelimeler

SWOT and AI-Supported NLP Analysis of Digital Saturation in Higher Education Institutions

Abstract

Keywords

References

Details

Primary Language

Subjects

Journal Section

Authors

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

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