Yazılım Geliştirme Öğreniminde Beceri Derinliği ve Dil Yeterliliğinin Yapay Zekâ ile Entegrasyonu

Year 2024, Volume: 7 Issue: 4, 382 - 399, 20.12.2024

Selçuk Yazar , Tülay Demiralay , Tolga Demirhan

https://doi.org/10.32329/uad.1519587

Cited By: 1

Abstract

Üretici yapa zekâ modelleri günümüzde birçok alanda oldukça etkilidir. Yazılım geliştirme ve programlama alanında büyük bir etkiye sahip olduğu da son zamanlarda sıkça tartışılmaktadır. Bu çalışmada lisans ve ön lisans düzeyinde yazılım, bilgisayar ve programlama eğitimi alan bireyle gelişen ve hızla güçlenen bu teknoloji karşısındaki düşüncelerini öğrenmek amacıyla anket uygulanmıştır. Araştırmanın çalışma grubu, 2023-2024 eğitim-öğretim yılı bahar yarıyılında Trakya Üniversitesi Bilgisayar Mühendisliği (n=64), Bilgisayar Programcılığı (n=23), Web Tasarımı ve Kodlama (n=12) ve Kırklareli Üniversitesi Yazılım Mühendisliği (n=142) tüm sınıflar düzeyinde toplam 241 öğrenciden oluşmaktadır. Araştırma, nicel yaklaşımın kullanıldığı korelasyonel, kesitsel ve deneysel olmayan karma araştırma yöntemiyle anket uygulanarak yürütülmüştür. Anket soruları araştırmacılar tarafından hazırlanmıştır. Anket sonuçları literatürdeki benzer çalışmalarla karşılaştırılarak yazılım geliştirme/programla eğitimi ve iş gücüne yönelik bazı çıkarımlar tartışılmıştır. Katılımcıların görüşlerine göre, yazılım mühendisliği ve geliştirme alanında yapay zekâ uygulamalarının artan kullanımının gelecekteki profesyonel ihtiyaçları, iş güvenliğini ve kişisel gelişim gereksinimlerini önemli ölçüde etkileyeceği öne çıkmıştır. Ayrıca, yazılım ve uygulama geliştirme alanlarındaki yeteneklerin yanı sıra siber güvenliğin de önemli bir ilgi odağı olduğu tespit edilmiştir. Bu bağlamda yazılım geliştirme ve ilgili alanlarda öğrencilerin yeteneklerini ve yeterliliklerini artırmaya yönelik çeşitli öneriler sunulmuştur.

Keywords

Yazılım geliştirme eğitimi , Yapay Zekâ , İnsan-Bilgisayar Etkileşimi , Beceri derinliği , Bilim ve Teknoloji

Ethical Statement

Bu araştırma, Trakya Üniversitesi Etik Kulunun 24.04.2024 tarih ve 2024.04.26 sayılı toplantısında alınan kararla etik kurallara uygun bir şekilde yürütülmüştür. Ayrıca Kırklareli Üniversitesi Mühendislik Fakültesi dekanlığının 29.03.2024 tarih ve E-12203248-199-119159 sayılı evrak ile araştırmanın uygulanması uygun görülmüştür. Ankete anonim olarak çevrimiçi erişmeden önce veya odak gruplarına başlamadan önce çalışmaya katılan tüm denekler bilgilendirilmiştir.

Integration of Skill Depth and Language Proficiency into Artificial Intelligence in Software Development Learning

Abstract

Generative artificial intelligence models are very effective in many fields today. Recently, it has been frequently discussed that it has a great impact on software development and programming. In this study, a questionnaire was applied to individuals studying software, computer and programming at undergraduate and associate degree level in order to learn their thoughts about this rapidly developing and rapidly strengthening technology. The study group of the research consists of a total of 241 students from Trakya University Computer Engineering (n=64), Computer Programming (n=23), Web Design and Coding (n=12) and Kırklareli University Software Engineering (n=142) in the spring semester of the 2023-2024 academic year. The research was conducted by applying a questionnaire with a correlational, cross-sectional and non-experimental mixed research method using a quantitative approach. The survey questions were prepared by the researchers. The survey results were compared with similar studies in the literature and some implications for software development/programming education and workforce were discussed. According to the views of the participants, the increasing use of artificial intelligence applications in software engineering and development will significantly affect future professional needs, job security and personal development requirements. In addition to skills in software and application development, cybersecurity was also identified as an important focus of interest. In this context, various suggestions are presented to increase students’ skills and competencies in software development and related fields.

Keywords

Software development education , Artificial Intelligence , Human-Computer Interaction , Skill depth , Science and Technology

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