The Effects of Artificial Intelligence on Journalism Students: An Investigation of the Anxiety Levels of Sakarya University Journalism Students Regarding Artificial Intelligence

Elif Köse; Yusuf Adıgüzel; Cengizhan Aynacı

Makale detayları

The Effects of Artificial Intelligence on Journalism Students: An Investigation of the Anxiety Levels of Sakarya University Journalism Students Regarding Artificial Intelligence

Yazarlar:

Elif Köse | Yusuf Adıgüzel | Cengizhan Aynacı

Yayıncı:

Sakarya University

Ana Başlıklar:

İletişim ve Medya Çalışmaları (Diğer)

Dergi:

Sakarya İletişim Vol.4 Issue 2, pp.150-164

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001335201

pISSN:

2791-6464

Anahtar kelimeler:

Özet:

 The use of artificial intelligence has become an important topic of discussion for the journalism profession and education, as in many other sectors. It is believed that determining the level of anxiety about artificial intelligence among journalism students in communication departments can provide important information about the future of journalism education. This study aims to reveal anxiety levels of journalism students about the changes and transformations brought about by artificial intelligence technology. The research was conducted using quantitative method and survey model. The study population consists of the students of the Journalism Department of Sakarya University and the study group consists of 139 students who voluntarily participated in the research. A questionnaire and the Artificial Intelligence Anxiety Scale developed by Wang  Wang and adapted to Turkish by Akkaya, Özkan and Özkan 2021 were used as data collection tools. The data obtained were analysed with SPSS 22.0 program. According to the results, while there was a significant difference between gender and AI anxiety, there was no significant difference between age, class level and considering a job in the media sector and AI total score. Grade level was only found to be significant in the sub-dimension job change. Females have a higher fear of AI and are also more anxious about acquiring knowledge and skills related to artificial intelligence than men. Based on the results of the research, it is recommended that journalism students be trained about AI tools and that various collaborations be established with both academia and the industry.

 The use of artificial intelligence has become an important topic of discussion for the journalism profession and education, as in many other sectors. It is believed that determining the level of anxiety about artificial intelligence among journalism students in communication departments can provide important information about the future of journalism education. This study aims to reveal anxiety levels of journalism students about the changes and transformations brought about by artificial intelligence technology. The research was conducted using quantitative method and survey model. The study population consists of the students of the Journalism Department of Sakarya University and the study group consists of 139 students who voluntarily participated in the research. A questionnaire and the Artificial Intelligence Anxiety Scale developed by Wang  Wang and adapted to Turkish by Akkaya, Özkan and Özkan 2021 were used as data collection tools. The data obtained were analysed with SPSS 22.0 program. According to the results, while there was a significant difference between gender and AI anxiety, there was no significant difference between age, class level and considering a job in the media sector and AI total score. Grade level was only found to be significant in the sub-dimension job change. Females have a higher fear of AI and are also more anxious about acquiring knowledge and skills related to artificial intelligence than men. Based on the results of the research, it is recommended that journalism students be trained about AI tools and that various collaborations be established with both academia and the industry.

 The use of artificial intelligence has become an important topic of discussion for the journalism profession and education, as in many other sectors. It is believed that determining the level of anxiety about artificial intelligence among journalism students in communication departments can provide important information about the future of journalism education. This study aims to reveal anxiety levels of journalism students about the changes and transformations brought about by artificial intelligence technology. The research was conducted using quantitative method and survey model. The study population consists of the students of the Journalism Department of Sakarya University and the study group consists of 139 students who voluntarily participated in the research. A questionnaire and the Artificial Intelligence Anxiety Scale developed by Wang  Wang and adapted to Turkish by Akkaya, Özkan and Özkan 2021 were used as data collection tools. The data obtained were analysed with SPSS 22.0 program. According to the results, while there was a significant difference between gender and AI anxiety, there was no significant difference between age, class level and considering a job in the media sector and AI total score. Grade level was only found to be significant in the sub-dimension job change. Females have a higher fear of AI and are also more anxious about acquiring knowledge and skills related to artificial intelligence than men. Based on the results of the research, it is recommended that journalism students be trained about AI tools and that various collaborations be established with both academia and the industry.

 Yapay zekâ kullanımı birçok sektörde olduğu gibi gazetecilik mesleği ve eğitimi için de önemli bir tartışma konusu haline gelmiştir. İletişim fakültelerinin gazetecilik bölümü öğrencilerinin yapay zekâ kaygı durumlarını tespit etmenin gazetecilik eğitiminin geleceğine dair önemli bilgiler sağlayabileceği düşünülmektedir. Bu çalışma, gazetecilik öğrencilerinin yapay zekâ teknolojisinin getirdiği değişim ve dönüşümlerin kendilerinde oluşturdukları kaygı düzeylerini ortaya çıkarmayı amaçlamaktadır. Araştırma nicel yöntemle ve tarama modeliyle gerçekleştirilmiştir. Araştırmanın evreni Sakarya Üniversitesi Gazetecilik Bölümü öğrencilerinden, çalışma grubu ise araştırmaya gönüllü olarak katılan 139 öğrenciden oluşmaktadır. Araştırmada veri toplama aracı olarak anket ve Wang  Wang tarafından geliştirilen, Akkaya, Özkan ve Özkanın 2021 Türkçeye uyarlanan Yapay Zekâ Kaygı Ölçeği kullanılmıştır. Elde edilen veriler SPSS 22.0 programıyla analiz edilmiştir. Araştırma sonuçlarına göre cinsiyetle yapay zekâ kaygısı arasında anlamlı fark belirlenirken yaş, sınıf derecesi ve medya sektöründe çalışmayı düşünme ile yapay zekâ toplam puanı arasında anlamlı fark görülmemiştir. Sınıf düzeyleri yalnızca iş değiştirme alt boyutunda anlamlı bulunmuştur. Kadınların yapay zekâ kaygıları erkeklerden daha yüksektir. Aynı zamanda kadın öğrenciler yapay zekâya ilişkin bilgi ve becerileri öğrenme konusunda erkeklerden daha kaygılıdırlar. Araştırma sonuçlarına göre; üniversitelerin, gazetecilik bölümünde eğitim alan öğrencilere yapay zekâ araçlarını kullanmaya yönelik eğitimler vermesi ve gazetecilik sektörünün çeşitli paydaşlarıyla iş birlikleri yapılması önerilmektedir.

Makale detayları

The Effects of Artificial Intelligence on Journalism Students: An Investigation of the Anxiety Levels of Sakarya University Journalism Students Regarding Artificial Intelligence

Yazarlar:

Elif Köse | Yusuf Adıgüzel | Cengizhan Aynacı

Yayıncı:

Sakarya University

Ana Başlıklar:

İletişim ve Medya Çalışmaları (Diğer)

Dergi:

Sakarya İletişim Vol.4 Issue 2, pp.150-164

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001335201

pISSN:

2791-6464

Journalism Students

Journalism

Artificial Intelligence

Artificial Intelligence AnxietyGazetecilik Öğrencileri

Gazetecilik

Yapay Zekâ

Yapay Zekâ Kaygısı

Sayı

Makale detayları

Yazarlar: Elif Köse | Yusuf Adıgüzel | Cengizhan Aynacı

Yayıncı: Sakarya University

Ana Başlıklar: İletişim ve Medya Çalışmaları (Diğer)

Dergi: Sakarya İletişim Vol.4 Issue 2, pp.150-164

Belge Tipi: Makale

Yayın Tarihi: 12/2024

Belge Dili: Türkçe

Document ID (Org No.): 2001335201

pISSN: 2791-6464

Sayı

Yazarlar:

Elif Köse | Yusuf Adıgüzel | Cengizhan Aynacı

Yayıncı:

Sakarya University

Ana Başlıklar:

İletişim ve Medya Çalışmaları (Diğer)

Dergi:

Sakarya İletişim Vol.4 Issue 2, pp.150-164

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001335201

pISSN:

2791-6464