Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.14627/7

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Subject: search.filters.subject.Artificial IntelligenceWoS Q: search.filters.wosQuartile.N/A

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  • Article
    Citation - WoS: 1
    Citation - Scopus: 1
    Integration of Artificial Intelligence Tools into Interior Architecture Education: A Study on Textual and Visual Representations
    (Univ Cueca, 2025) Deval, Ozge; Kosencig, Kamile Ozturk; Acirli, Zeynep; Öztürk Kösenciğ, Kamile
    Despite numerous Artificial Intelligence (AI) applications in the field, there is currently a lack of empirical evidence supporting their integration into design education, as well as limitations due to the novelty of these applications. Therefore, this study proposes a workflow integrating AI-assisted ideation and visualization into interior architecture education. An empirical study was conducted with six interior architecture students.The design process has been researched in addition to capturing the functional limitations and difficulties encountered by students who experienced the suggested educational framework.The findings were analyzed using descriptive analysis, a qualitative research method.Findings revealed that AI tools can effectively support the early design phase with the recommended workflow. However, participants often struggled to apply it critically, relying heavily on AI suggestions.This study provides a novel perspective by elucidating the potential benefits, challenges and impacts of AI applications in interior architecture education.
  • Article
    Citation - Scopus: 1
    A Sentiment Analysis of Turkish Tweets Shared in Nursing Week During the Pandemic
    (Association of Executive Nurses, 2022) Doğan, M.B.; Oban, V.; Dikeç, G.
    Aim: This study aimed to conduct an artificial intelligence-based sentiment analysis of Turkish tweets about nursing during the nursing week during the COVID-19 pandemic. Method: This is a retrospective descriptive survey. Between May 4 and May 19, 2021, Turkish tweets were analyzed using the Python library Tweepy. The search terms “nurse, nursing, and nursing week” were used to analyzed tweets for their positivity, neutrality, or negativity. Results: The analysis of 24,944 tweets revealed that tweets frequently express neutral emotions. The negative tweets frequently discussed issues such as societal gender perception, professionalism, burnout during the pandemic, salaries, inadequate nursing workforce, inequalities, violence against healthcare professionals, and the deaths of nurses. Conclusions: Social media applications can be recommended as important tools for raising awareness of the nursing profession identity, professionalism, visibility, and the perception of society towards nursing, nursing problems, and recommendations for solutions. © 2022 The Authors. Published by Association of Nurse Managers.