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

Cansu Şahin Kölemen; Ersin Şahin

Makale detayları

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

Yazarlar:

Cansu Şahin Kölemen | Ersin Şahin

Yayıncı:

Dokuz Eylul University

Ana Başlıklar:

Eğitim Teknolojisi ve Bilgi İşlem

Dergi:

Dokuz Eylül Üniversitesi Buca Eğitim Fakültesi Dergisi Issue 65, pp.3520-3552

Belge Tipi:

Makale

Yayın Tarihi:

9/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001359546

pISSN:

2602-2850

Anahtar kelimeler:

Özet:

 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 institutions 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 universitys 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.

 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 institutions 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 universitys 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.

 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 institutions 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 universitys 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.

 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.

Makale detayları

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

Yazarlar:

Cansu Şahin Kölemen | Ersin Şahin

Yayıncı:

Dokuz Eylul University

Ana Başlıklar:

Eğitim Teknolojisi ve Bilgi İşlem

Dergi:

Dokuz Eylül Üniversitesi Buca Eğitim Fakültesi Dergisi Issue 65, pp.3520-3552

Belge Tipi:

Makale

Yayın Tarihi:

9/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001359546

pISSN:

2602-2850

Digital maturity

digital transformation

strategic management.Dijital doygunluk

dijital dönüşüm

stratejik yönetim.

Sayı

Makale detayları

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

Yazarlar: Cansu Şahin Kölemen | Ersin Şahin

Yayıncı: Dokuz Eylul University

Ana Başlıklar: Eğitim Teknolojisi ve Bilgi İşlem

Dergi: Dokuz Eylül Üniversitesi Buca Eğitim Fakültesi Dergisi Issue 65, pp.3520-3552

Belge Tipi: Makale

Yayın Tarihi: 9/2025

Belge Dili: Türkçe

Document ID (Org No.): 2001359546

pISSN: 2602-2850

Digital maturity

digital transformation

strategic management.Dijital doygunluk

dijital dönüşüm

stratejik yönetim.

Sayı

Yazarlar:

Cansu Şahin Kölemen | Ersin Şahin

Yayıncı:

Dokuz Eylul University

Ana Başlıklar:

Eğitim Teknolojisi ve Bilgi İşlem

Dergi:

Dokuz Eylül Üniversitesi Buca Eğitim Fakültesi Dergisi Issue 65, pp.3520-3552

Belge Tipi:

Makale

Yayın Tarihi:

9/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001359546

pISSN:

2602-2850