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Journals / Adnan Menderes Üniversitesi Sosyal Bilimler Enstitüsü Dergisi / 2025 / Cilt: 12 Sayı: 2

Artificial Intelligence and Information Technology Education: A Systematic Literature Review

Yapay Zekâ ve Bilgi Teknolojileri Eğitimi: Sistematik Literatür İncelemesi

Serdar Çiftci(ADNAN MENDERES ÜNİVERSİTESİ)0000-0001-5282-1861
Pages
143–154
Publication Date
2025-12-29
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

However, significant challenges associated with this integration have been identified, including concerns about academic integrity, ethical implications, algorithmic bias, and excessive cognitive reliance on AI tools.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Artificial intelligence (AI) is fundamentally changing the paradigms of Information Technology (IT) education.
📊
Key Findings & Data:The findings highlight the potential of AI to improve student performance, manage cognitive load, and strengthen student motivation and engagement.
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Conclusion & Impact:However, significant challenges associated with this integration have been identified, including concerns about academic integrity, ethical implications, algorithmic bias, and excessive cognitive reliance on AI tools.
🔬Design:Derleme
📍Scope:Comprehensive Sample
⚙️Variables:Yapay Zeka · Bilişim Teknolojileri Eğitimi · Bilgisayar Bilimleri Eğitimi

Abstract

Artificial intelligence (AI) is fundamentally changing the paradigms of Information Technology (IT) education. This technology, at the heart of the Fourth Industrial Revolution, is no longer just a part of the curriculum but also functions as a pedagogical tool. The current study aims to comprehensively analyze the existing literature examining the multifaceted impacts of AI on IT education. Key shifts, such as intelligent tutoring systems, personalized learning paths facilitated by learning analytics, automated code evaluation and feedback mechanisms, and the integration of generative AI tools (e.g., GitHub Copilot, ChatGPT), are examined in depth. The findings highlight the potential of AI to improve student performance, manage cognitive load, and strengthen student motivation and engagement. It also demonstrates its potential to reduce instructors' administrative burdens, allowing them to focus on higher-level pedagogical activities. However, significant challenges associated with this integration have been identified, including concerns about academic integrity, ethical implications, algorithmic bias, and excessive cognitive reliance on AI tools.

Özet

Yapay zekâ bilişim teknolojileri eğitiminin paradigmalarında önemli değişimlere neden olmaktadır. Dördüncü Sanayi Devrimi'nin merkezindeki bu teknoloji, artık sadece müfredatın bir parçası değil, aynı zamanda pedagojik bir araç olarak da işlev görmektedir. Mevcut çalışma, yapay zekanın bilişim teknolojileri eğitimi üzerindeki çok yönlü etkilerini inceleyen mevcut literatürü kapsamlı bir şekilde analiz etmeyi amaçlamaktadır. Akıllı öğretim sistemleri, öğrenme analitiğiyle kolaylaştırılan kişiselleştirilmiş öğrenme yöntemleri, otomatik kod değerlendirme ve geri bildirim mekanizmaları ve üretken yapay zeka araçlarının (örneğin GitHub Copilot, ChatGPT) entegrasyonu gibi önemli değişimler derinlemesine incelenmiştir. Bulgular, yapay zekanın öğrenci performansını iyileştirme, bilişsel yükü yönetme ve öğrenci motivasyonunu ve katılımını güçlendirme potansiyelini vurgulamaktadır. Ayrıca öğretim görevlilerinin idari yüklerini azaltarak daha üst düzey pedagojik faaliyetlere odaklanmalarını sağlama potansiyelini de barındırmaktadır. Ancak, entegrasyonla ilgili önemli zorluklar tespit edilmiştir; bunlar arasında akademik dürüstlük, etik sonuçlar, algoritmik önyargı ve yapay zeka araçlarına aşırı bilişsel bağımlılıkla ilgili endişeler yer almaktadır.

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Cite This Article

Çiftci, S. (2025). Artificial Intelligence and Information Technology Education: A Systematic Literature Review. Adnan Menderes Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, Cilt: 12 Sayı: 2, 143–154. https://doi.org/10.30803/adusobed.1822028

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