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Journals / Kuramsal Eğitimbilim Dergisi / 2026 / Cilt: 19 Sayı: 3

STEM-Based Science Instruction with Artificial Intelligence Integration: An Educational Vision for the 21st Century

Yapay Zeka Entegrasyonu ile STEM Tabanlı Fen Bilimleri Eğitimi: 21. Yüzyıl İçin Bir Eğitim Vizyonu

Özgür Özünlü(ANKARA YILDIRIM BEYAZIT UNIVERSITY)0000-0001-7841-4869
Pages
545–568
Publication Date
2026-07-27
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AI Summary & Key Takeaways

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

This refined framework aims to provide a transparent and actionable roadmap for educators and curriculum designers in the modern era.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study presents a comprehensive literature review investigating the transformative role of Artificial Intelligence in STEM-based science instruction to shape an educational vision for the 21st century.
📊
Key Findings & Data:The methodology employs a systematic search across major academic databases, including SSCI, ESCI, ERIC, Scopus, Web of Science, TR-Index, and Google Scholar, covering the period from 2016 to 2025.
💡
Conclusion & Impact:This refined framework aims to provide a transparent and actionable roadmap for educators and curriculum designers in the modern era.
🔬Design:Review & Systematic Survey
📍Scope:2016 Verileri
⚙️Variables:eğitimde yapay zeka · STEM eğitimi · fen müfredatı

Abstract

This study presents a comprehensive literature review investigating the transformative role of Artificial Intelligence in STEM-based science instruction to shape an educational vision for the 21st century. The methodology employs a systematic search across major academic databases, including SSCI, ESCI, ERIC, Scopus, Web of Science, TR-Index, and Google Scholar, covering the period from 2016 to 2025. Following a rigorous screening process based on predefined inclusion and exclusion criteria—focusing on peer-reviewed articles, project-based learning, and 21st-century skills—a total of 56 studies were selected. The findings highlight a pedagogical paradigm shift where AI tools facilitate personalized feedback, predictive analytics, and enhanced teacher practices within STEM frameworks. Based on these insights, the study articulates an explicit educational vision characterized by the optimization of interdisciplinary STEM applications and the evolution of teacher roles from lecturers to facilitators in AI-integrated environments. This refined framework aims to provide a transparent and actionable roadmap for educators and curriculum designers in the modern era.

Özet

Bu çalışma, 21. yüzyıl için bir eğitim vizyonu oluşturmak amacıyla STEM temelli fen öğretiminde Yapay Zekanın (YZ) dönüştürücü rolünü inceleyen kapsamlı bir literatür taraması sunmaktadır. Metodoloji, 2016 ile 2025 arasındaki dönemi kapsayan SSCI, ESCI, ERIC, Scopus, Web of Science, Tr Dizin ve Google Scholar gibi başlıca akademik veri tabanlarında sistematik bir arama yapılmasını içermektedir. Önceden tanımlanmış dahil etme ve hariç tutma kriterlerine dayalı titiz bir tarama sürecinin ardından —makaleler, proje tabanlı öğrenme ve 21. yüzyıl becerilerine odaklanılarak—toplam 56 çalışma seçilmiştir. Bulgular, AI araçlarının STEM çerçeveleri içinde kişiselleştirilmiş geri bildirim, tahmine dayalı analitik ve gelişmiş öğretmen uygulamalarını kolaylaştırdığı bir pedagojik paradigma değişimini vurgulamaktadır. Bu içgörülere dayanarak, çalışma, disiplinler arası STEM uygulamalarının optimizasyonu ve AI entegre ortamlarda öğretmen rollerinin ders verenlerden kolaylaştırıcılara doğru evrimleşmesi ile karakterize edilen açık bir eğitim vizyonunu ortaya koymaktadır. Bu araştırma çerçevesi bağlamında, modern çağda eğitimciler ve müfredat tasarımcıları için şeffaf ve uygulanabilir bir yol haritası sağlamayı amaçlamaktadır.

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Cite This Article

Özünlü, Ö. (2026). STEM-Based Science Instruction with Artificial Intelligence Integration: An Educational Vision for the 21st Century. Kuramsal Eğitimbilim Dergisi, Cilt: 19 Sayı: 3, 545–568. https://doi.org/10.30831/akukeg.1830144

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