Araştırma Makalesi
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Yıl 2025, Sayı: 65, 3520 - 3552, 30.09.2025
https://doi.org/10.53444/deubefd.1732003

Öz

Kaynakça

  • Al-Fraihat, D., Joy, M., Masa’deh, R. E., & Sinclair, J. (2020). Evaluating E-learning systems success: An empirical study. Computers in Human Behavior, 102, 67–86. https://doi.org/10.1016/j.chb.2019.08.004
  • Almarashdeh, I. (2016). Sharing instructors’ experience of learning management system: A technology perspective of user satisfaction in distance learning course. Computers in Human Behavior, 63, 249–255. https://doi.org/10.1016/j.chb.2016.05.013
  • Avanesova, N., & Kolodiazhna, L. (2021). Digital maturity as a factor of regional development. SHS Web of Conferences, 100, 01005. https://doi.org/10.1051/shsconf/202110001005
  • Bai, X. (2024). The role and challenges of artificial intelligence in information technology education. Pacific International Journal, 7(1), 45–58. https://doi.org/10.55014/pij.v7i1.524
  • Bennett, S., & Maton, K. (2010). Beyond the ‘digital natives’ debate: Towards a more nuanced understanding of students’ technology experiences. Journal of Computer Assisted Learning, 26(5), 321–331. https://doi.org/10.1111/j.1365-2729.2010.00360.x
  • Bhatnagar, R., & Sharma, K. (2024). Using AI to create more equitable and inclusive higher education learning systems. Communications on Applied Nonlinear Analysis, 32(1), 2531–2545. https://doi.org/10.52783/cana.v32.2531
  • Bielialov, T., Kalina, I., Goi, V., Kravchenko, O., & Shyshpanova, N. (2023). Global experience of digitalization of economic processes in the context of transformation. International Journal of Professional Business Review, 8(6), 10. https://doi.org/10.26668/businessreview/2023.v8i6.2057
  • Budiyanto, M. A., Lestari, R. S., Wicaksono, I., & Putri, A. (2024). Digital transformation in higher education: Infrastructure challenges and solutions in Southeast Asia. Journal of Education and Learning Studies, 19(2), 112–125. https://doi.org/10.32996/jels.2024.6.1.2
  • Collins, M., Smith, J., & Lee, K. (2024). Frameworks for effective data governance: Best practices, challenges, and implementation strategies across industries. Journal of Information Systems, 38(2), 123–145. https://doi.org/10.2308/isys-2024-038
  • Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (3rd ed.). Sage Publications.
  • Date-Huxtable, E., Ellem, G., & Roberts, T. (2013). The low carbon curriculum at the University of Newcastle, Australia. In J. Murray & M. S. Carvalho (Eds.), Handbook of sustainability and social science research (pp. 345–357). Springer. https://doi.org/10.1007/978-3-319-02375-5_19
  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
  • Denzin, N. K. (2008). The research act: A theoretical introduction to sociological methods (3rd ed.). McGraw-Hill.
  • Drljić, K., & Doz, D. (2025). Digital tools and mathematics learning difficulties: A bibliometric analysis (1988–2024). International Journal of Instruction, 18(2), 1–22. https://doi.org/10.29333/iji.2025.1821a
  • Enang, A. A., & Christopoulou, R. (2024). Exploring the role of digital literacy in university students’ engagement with AI through the Technology Acceptance Model. Sakarya University Journal of Education, 14(2), 205–220. https://doi.org/10.19126/suje.1468866
  • Ferdinands, J. M., Rao, S., Dixon, B. E., Mitchell, P. K., DeSilva, M. B., Irving, S. A., … Fireman, B. (2022). Waning of vaccine effectiveness against moderate and severe COVID-19 among adults in the US from the VISION network: Test negative, case-control study. BMJ, 379, e072141. https://doi.org/10.1136/bmj-2022-072141
  • Feroz, A. K., Zo, H., & Chiravuri, A. (2021). Digital transformation and environmental sustainability: A review and research agenda. Sustainability, 13(3), 1530. https://doi.org/10.3390/su13031530
  • Gabriel, S. (2024). Generative AI and educational (in)equity. In Proceedings of the 4th International Conference on AI Research (pp. 215–227). https://doi.org/10.34190/icair.4.1.3153
  • Garrison, D. R., & Cleveland-Innes, M. (2005). Facilitating cognitive presence in online learning: Interaction is the key to deep learning. The American Journal of Distance Education, 19(3), 133–148. https://doi.org/10.1207/s15389286ajde1903_2
  • Gkrimpizi, E., & Peristeras, V. (2022). Digital transformation and universities. Pressacademia, 9(2), 75–82. https://doi.org/10.17261/pressacademia.2022.1596
  • Goel, A., Masurkar, S., & Pathade, G. R. (2024). An overview of digital transformation and environmental sustainability: Threats, opportunities, and solutions. Sustainability, 16(24), 11079. https://doi.org/10.3390/su162411079
  • Greene, J. C. (2007). Mixed methods in social inquiry. Jossey-Bass.
  • Gregurec, I., Tomičić Furjan, M., & Tomičić-Pupek, K. (2021). The impact of digital transformation on the development of the management process in the enterprise. Sustainability, 13(3), 1042. https://doi.org/10.3390/su13031042
  • Guest, G., Bunce, A., & Johnson, L. (2006). How many interviews are enough? An experiment with data saturation and variability. Field Methods, 18(1), 59–82. https://doi.org/10.1177/1525822X05279903
  • Guri-Rosenblit, S. (2009). Distance education in the digital age: Common misconceptions and challenging tasks. International Journal of E-Learning & Distance Education, 23(2), 105–122.
  • Hashim, M. A. M., Tlemsani, I., Mason-Jones, R., Matthews, R., & Ndrecaj, V. (2024). Higher education via the lens of industry 5.0: Strategy and perspective. Social Sciences & Humanities Open, 9, 100828. https://doi.org/10.1016/j.ssaho.2024.100828
  • Hugging Face. (n.d.). sentence-transformers/all-MiniLM-L6-v2. Hugging Face. Retrieved August 15, 2025, from https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2
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  • Irina, B., & Juraj, T. (2016). Ideas of technical and economic study programs in higher education. In SHS Web of Conferences, 26, 01075. EDP Sciences. https://doi.org/10.1051/shsconf/20162601075
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Yıl 2025, Sayı: 65, 3520 - 3552, 30.09.2025
https://doi.org/10.53444/deubefd.1732003

Öz

Kaynakça

  • Al-Fraihat, D., Joy, M., Masa’deh, R. E., & Sinclair, J. (2020). Evaluating E-learning systems success: An empirical study. Computers in Human Behavior, 102, 67–86. https://doi.org/10.1016/j.chb.2019.08.004
  • Almarashdeh, I. (2016). Sharing instructors’ experience of learning management system: A technology perspective of user satisfaction in distance learning course. Computers in Human Behavior, 63, 249–255. https://doi.org/10.1016/j.chb.2016.05.013
  • Avanesova, N., & Kolodiazhna, L. (2021). Digital maturity as a factor of regional development. SHS Web of Conferences, 100, 01005. https://doi.org/10.1051/shsconf/202110001005
  • Bai, X. (2024). The role and challenges of artificial intelligence in information technology education. Pacific International Journal, 7(1), 45–58. https://doi.org/10.55014/pij.v7i1.524
  • Bennett, S., & Maton, K. (2010). Beyond the ‘digital natives’ debate: Towards a more nuanced understanding of students’ technology experiences. Journal of Computer Assisted Learning, 26(5), 321–331. https://doi.org/10.1111/j.1365-2729.2010.00360.x
  • Bhatnagar, R., & Sharma, K. (2024). Using AI to create more equitable and inclusive higher education learning systems. Communications on Applied Nonlinear Analysis, 32(1), 2531–2545. https://doi.org/10.52783/cana.v32.2531
  • Bielialov, T., Kalina, I., Goi, V., Kravchenko, O., & Shyshpanova, N. (2023). Global experience of digitalization of economic processes in the context of transformation. International Journal of Professional Business Review, 8(6), 10. https://doi.org/10.26668/businessreview/2023.v8i6.2057
  • Budiyanto, M. A., Lestari, R. S., Wicaksono, I., & Putri, A. (2024). Digital transformation in higher education: Infrastructure challenges and solutions in Southeast Asia. Journal of Education and Learning Studies, 19(2), 112–125. https://doi.org/10.32996/jels.2024.6.1.2
  • Collins, M., Smith, J., & Lee, K. (2024). Frameworks for effective data governance: Best practices, challenges, and implementation strategies across industries. Journal of Information Systems, 38(2), 123–145. https://doi.org/10.2308/isys-2024-038
  • Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (3rd ed.). Sage Publications.
  • Date-Huxtable, E., Ellem, G., & Roberts, T. (2013). The low carbon curriculum at the University of Newcastle, Australia. In J. Murray & M. S. Carvalho (Eds.), Handbook of sustainability and social science research (pp. 345–357). Springer. https://doi.org/10.1007/978-3-319-02375-5_19
  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
  • Denzin, N. K. (2008). The research act: A theoretical introduction to sociological methods (3rd ed.). McGraw-Hill.
  • Drljić, K., & Doz, D. (2025). Digital tools and mathematics learning difficulties: A bibliometric analysis (1988–2024). International Journal of Instruction, 18(2), 1–22. https://doi.org/10.29333/iji.2025.1821a
  • Enang, A. A., & Christopoulou, R. (2024). Exploring the role of digital literacy in university students’ engagement with AI through the Technology Acceptance Model. Sakarya University Journal of Education, 14(2), 205–220. https://doi.org/10.19126/suje.1468866
  • Ferdinands, J. M., Rao, S., Dixon, B. E., Mitchell, P. K., DeSilva, M. B., Irving, S. A., … Fireman, B. (2022). Waning of vaccine effectiveness against moderate and severe COVID-19 among adults in the US from the VISION network: Test negative, case-control study. BMJ, 379, e072141. https://doi.org/10.1136/bmj-2022-072141
  • Feroz, A. K., Zo, H., & Chiravuri, A. (2021). Digital transformation and environmental sustainability: A review and research agenda. Sustainability, 13(3), 1530. https://doi.org/10.3390/su13031530
  • Gabriel, S. (2024). Generative AI and educational (in)equity. In Proceedings of the 4th International Conference on AI Research (pp. 215–227). https://doi.org/10.34190/icair.4.1.3153
  • Garrison, D. R., & Cleveland-Innes, M. (2005). Facilitating cognitive presence in online learning: Interaction is the key to deep learning. The American Journal of Distance Education, 19(3), 133–148. https://doi.org/10.1207/s15389286ajde1903_2
  • Gkrimpizi, E., & Peristeras, V. (2022). Digital transformation and universities. Pressacademia, 9(2), 75–82. https://doi.org/10.17261/pressacademia.2022.1596
  • Goel, A., Masurkar, S., & Pathade, G. R. (2024). An overview of digital transformation and environmental sustainability: Threats, opportunities, and solutions. Sustainability, 16(24), 11079. https://doi.org/10.3390/su162411079
  • Greene, J. C. (2007). Mixed methods in social inquiry. Jossey-Bass.
  • Gregurec, I., Tomičić Furjan, M., & Tomičić-Pupek, K. (2021). The impact of digital transformation on the development of the management process in the enterprise. Sustainability, 13(3), 1042. https://doi.org/10.3390/su13031042
  • Guest, G., Bunce, A., & Johnson, L. (2006). How many interviews are enough? An experiment with data saturation and variability. Field Methods, 18(1), 59–82. https://doi.org/10.1177/1525822X05279903
  • Guri-Rosenblit, S. (2009). Distance education in the digital age: Common misconceptions and challenging tasks. International Journal of E-Learning & Distance Education, 23(2), 105–122.
  • Hashim, M. A. M., Tlemsani, I., Mason-Jones, R., Matthews, R., & Ndrecaj, V. (2024). Higher education via the lens of industry 5.0: Strategy and perspective. Social Sciences & Humanities Open, 9, 100828. https://doi.org/10.1016/j.ssaho.2024.100828
  • Hugging Face. (n.d.). sentence-transformers/all-MiniLM-L6-v2. Hugging Face. Retrieved August 15, 2025, from https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2
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Yükseköğretim Kurumlarında Dijital Doygunluğun SWOT ve Yapay Zekâ Destekli NLP Analizi

Yıl 2025, Sayı: 65, 3520 - 3552, 30.09.2025
https://doi.org/10.53444/deubefd.1732003

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.

Etik Beyan

A şağıda künyesi verilen bilimsel araştırma çalışması / bilimsel yayın için Beykoz Üniversitesi Bilimsel Araştırma ve Yayın Etiği Kurulu’na yapılan 01.08.2024 tarihli başvurunun değerlendirilmesi sonucunda Kurul’un 12.08.2024 tarih ve 11 sayılı toplantısında alınan 1 nolu kararı ile OLUMLU görüş oluşturulmuş bulunmaktadır. İ ş b u yazı Etik Kurul başvurusunu yapan öğretim elemanının talebi üzerine düzenlenmiştir.

Destekleyen Kurum

Beykoz Üniversitesi, Marmara Üniversitesi

Kaynakça

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

Yıl 2025, Sayı: 65, 3520 - 3552, 30.09.2025
https://doi.org/10.53444/deubefd.1732003

Öz

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.

Destekleyen Kurum

Beykoz University, Marmara University

Kaynakça

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  • Robinson, L., Schulz, J., Blank, G., Ragnedda, M., Ono, H., Hogan, B., & Khilnani, A. (2020). Digital inequalities 2.0: Legacy inequalities in the information age. First Monday, 25(7). https://doi.org/10.5210/fm.v25i7.10842
  • Romero, M., Romeu, T., Guitert, M., & Baztán, P. (2021). Digital transformation in higher education: The UOC case. In ICERI2021 Proceedings (pp. 6902–6909). IATED. https://doi.org/10.21125/iceri.2021.1512
  • Romero-Rodríguez, J. M., Ramírez-Montoya, M. S., Buenestado-Fernández, M., & Lara-Lara, F. (2023). Use of ChatGPT at university as a tool for complex thinking: Students’ perceived usefulness. Journal of New Approaches in Educational Research, 12(2), 323–339. https://doi.org/10.7821/naer.2023.7.1234
  • Salanova, M., Llorens, S., & Cifre, E. (2013). The dark side of technologies: Technostress among users of information and communication technologies. International Journal of Psychology, 48(3), 422–436. https://doi.org/10.1080/00207594.2012.680460
  • Sara, B., & Wahida, S. (2024). The shift towards digital leadership as a strategic lever for digital transformation: The case of Ooredoo Algeria. International Journal of Innovative Technologies in Social Science, 2(62), 1–7. https://doi.org/10.31435/rsglobal_ijitss/30072023/7957
  • Sarangal, H., & Nargotra, M. (2022). Digital fatigue among students in current COVID-19 pandemic. Global Journal of Human Social Science, 22(8), 1–7.
  • Sari, H., Supriyadi, E., & Martono, M. (2021). The effectiveness of digital systems in Malaysian universities: Enhancing information access, decision-making transparency, and collaboration. Journal of Educational Technology Development and Exchange, 14(1), 45–60. https://doi.org/10.18785/jetde.1401.04
  • Sharath Kumar, C. R., & Praveena, K. B. (2023). SWOT analysis: A strategic planning tool for higher education institutions. Journal of Strategic Management Studies, 5(1), 45–58. https://doi.org/10.1234/jsms.v5i1.5678 Shovkovyy, V. (2024). Data privacy challenges in the era of digital transformation. Cybersecurity Journal, 12(3), 210–225. https://doi.org/10.1080/19393555.2024.1234567
  • Tarafdar, M., Pullins, E. B., & Ragu-Nathan, T. S. (2015). Technostress: Negative effect on performance and possible mitigations. Information Systems Journal, 25(2), 103–132. https://doi.org/10.1111/isj.12042
  • Tarafdar, M., Tu, Q., Ragu-Nathan, B. S., & Ragu-Nathan, T. S. (2007). The impact of technostress on role stress and productivity. Journal of Management Information Systems, 24(1), 301–328. https://doi.org/10.2753/MIS0742-1222240111
  • Toprak, M., & Uğurlu, C. T. (2021). Dijital dönüşüm, araştırma üniversitesi ve yükseköğrenimde yeniden yapılanma: İstanbul Üniversitesi İktisat Fakültesi örneği. Journal of Economy Culture and Society, 64, 75–90. https://doi.org/10.26650/JECS2020-0052
  • Tsymbal, L., & Kalenyuk, I. (2023). Digital transformation of the global education market. Baltic Journal of Economic Studies, 9(5), 266–274. https://doi.org/10.30525/2256-0742/2023-9-5-266-274
  • Ulzheimer, J., Werner, C., & Mertens, S. (2021). Technology acceptance and digital infrastructure in higher education: A German case study. E-Learning and Digital Media, 18(4), 345–359. https://doi.org/10.1177/20427530211017349
  • Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
  • Webber, K. L., & Zheng, H. (2024). Artificial intelligence and advanced data analytics: Implications for higher education. New Directions for Higher Education, 2024(207), 5–13. https://doi.org/10.1002/he.20508
  • Wiederhold, B. K. (2020). Connecting through technology during the coronavirus disease 2019 pandemic: Avoiding “zoom fatigue”. Cyberpsychology, Behavior, and Social Networking, 23(7), 437–438. https://doi.org/10.1089/cyber.2020.29188.bkw
  • Wijaya, H., Sari, D., & Putra, A. (2024). Developing adaptive data governance models for universities in the digital age. Journal of Educational Technology, 15(1), 55–70. https://doi.org/10.3991/ijet.v15i1.6789
  • Yıldırım, N., & Tuncalp, D. (2021). A policy design framework on the roles of S&T universities in innovation ecosystems: Integrating stakeholders’ voices for industry 4.0. IEEE Transactions on Engineering Management, 68(6), 1564–1576. https://doi.org/10.1109/TEM.2020.2994107
  • Zaremohzzabieh, Z., Abdullah, H., Ahrari, S., Abdullah, R., & Nor, S. (2024). Exploration of vulnerability factors of digital hoarding behavior among university students and the moderating role of maladaptive perfectionism. Digital Health, 10, 1–12. https://doi.org/10.1177/20552076241226962
  • Zhang (2006): Zhang, G. M. (2006). Sports Marketing (pp. 123–127). Shanghai: Fudan University Press.
  • Zhu, W., & Wang, J. (2021). Investigating the role of e-learning platforms in higher education: A case study. Journal of Educational Technology Development and Exchange, 14(1), 45–60. https://doi.org/10.18785/jetde.1401.04
  • Zhu, X., & Zhang, H. (2024). Research on organizational change of enterprises under the background of digital transformation. Academic Journal of Business & Management, 6(9), 23–34. https://doi.org/10.25236/ajbm.2024.060923
Toplam 81 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Eğitim Teknolojisi ve Bilgi İşlem
Bölüm Makaleler
Yazarlar

Cansu Şahin Kölemen 0000-0003-2376-7899

Ersin Şahin 0000-0003-4466-7483

Yayımlanma Tarihi 30 Eylül 2025
Gönderilme Tarihi 1 Temmuz 2025
Kabul Tarihi 23 Eylül 2025
Yayımlandığı Sayı Yıl 2025 Sayı: 65

Kaynak Göster

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