TY  - JOUR
T1  - Artificial Intelligence in Academic Education: An Opportunity for Social Work?
TT  - Akademik Eğitimde Yapay Zeka: Sosyal Hizmet İçin Bir Fırsat mı?
AU  - Doğan, Hüseyin
PY  - 2025
DA  - April
Y2  - 2025
DO  - 10.18506/anemon.1611205
JF  - Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi
PB  - Muş Alparslan Üniversitesi
WT  - DergiPark
SN  - 2149-4622
SP  - 184
EP  - 207
VL  - 13
IS  - 1
LA  - en
AB  - Social work education is grounded in knowledge, skills, and values, emphasizing evidence-based learning, the development of practical competencies, and a commitment to ethical principles and human rights. This study used a qualitative research design to examine the role of artificial intelligence (AI) in social work education, focusing on its impact on knowledge, skills, and values. Interviews were conducted with 78 academics from social work departments at universities across Turkey. The findings highlight AI's potential to enhance teaching methods by offering personalized learning experiences, providing content tailored to students' individual learning paces, and delivering automated feedback mechanisms. Additionally, AI-powered educational platforms, through simulations and virtual reality applications, can support skill development by allowing students to practice and solve problems in environments that closely mimic real-world scenarios. However, concerns were raised regarding AI's impact on research ethics and cultural competence, given the human-centered nature of social work. While AI offers innovative opportunities, its integration must be carefully managed to preserve ethical standards and professional values. This highlights the need for careful consideration of how AI can be integrated into social work education while preserving and enhancing knowledge, skills, and values in a holistic manner. Future research should explore the broader implementation of AI in social work education, with a focus on developing strategies to safeguard ethical standards, cultural competence, and professional values.
KW  - Social Work Education
KW  - Artificial İntelligence
KW  - Knowledge
KW  - Skills
KW  - Values
N2  - Sosyal hizmet eğitimi, kanıta dayalı öğrenmeyi, pratik yeterliliklerin geliştirilmesini ve etik ilkelere ve insan haklarına bağlılığı vurgulayarak bilgi, beceri ve değerlere dayanır. Bu çalışma, yapay zekanın (YZ) sosyal hizmet eğitimindeki rolünü incelemek için nitel bir araştırma tasarımı kullanarak bilgi, beceri ve değerler üzerindeki etkisine odaklanmıştır. Türkiye genelindeki üniversitelerin sosyal hizmet bölümlerinden 78 akademisyenle görüşmeler yapılmıştır. Bulgular, yapay zekânın kişiselleştirilmiş öğrenme deneyimleri sunma, öğrencilerin öğrenme hızlarına göre uyarlanmış içerik sağlama ve otomatik geri bildirim mekanizmaları aracılığıyla öğretim yöntemlerini geliştirme potansiyelini vurgulamaktadır. Ayrıca, yapay zekâ destekli eğitim platformları, simülasyonlar ve sanal gerçeklik uygulamaları sayesinde beceri gelişimini destekleyerek öğrencilerin pratik yapma ve problem çözme becerilerini gerçek dünyaya daha yakın koşullarda geliştirmelerine olanak tanımaktadır. Ancak, sosyal hizmetin insan merkezli doğası göz önüne alındığında, YZ'nin araştırma etiği ve kültürel yeterlilik üzerindeki etkisiyle ilgili endişeler dile getirilmiştir. YZ yenilikçi fırsatlar sunarken, etik standartları ve profesyonel değerleri korumak için entegrasyonunun dikkatli bir şekilde yönetilmesi gerekir. Bu, YZ'nin bilgi, beceri ve değerleri bütünsel bir şekilde koruyup geliştirirken sosyal hizmet eğitimine nasıl entegre edilebileceğinin dikkatli bir şekilde değerlendirilmesi ihtiyacını vurgulamaktadır. Gelecekteki araştırmalar, etik standartları, kültürel yeterliliği ve profesyonel değerleri korumak için stratejiler geliştirmeye odaklanarak YZ'nin sosyal hizmet eğitiminde daha geniş bir şekilde uygulanmasını araştırmalıdır.
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UR  - https://doi.org/10.18506/anemon.1611205
L1  - https://dergipark.org.tr/tr/download/article-file/4483656
ER  -