Artificial Intelligence: Theoretical Foundations, Educational Insights, and Hallucinations

Seferoğlu S. S., Yiğit M. F., Aydın B.

Artificial Intelligence Applications in Science Education, BEKTAŞ OKTAY,TARKIN ÇELİKKIRAN AYŞEGÜL,TÜYSÜZ MUSTAFA,SEFEROĞLU SÜLEYMAN SADİ, Editör, Springer Nature, Zürich, ss.30-53, 2026

  • Yayın Türü: Kitapta Bölüm / Diğer
  • Basım Tarihi: 2026
  • Yayınevi: Springer Nature
  • Basıldığı Şehir: Zürich
  • Sayfa Sayıları: ss.30-53
  • Editörler: BEKTAŞ OKTAY,TARKIN ÇELİKKIRAN AYŞEGÜL,TÜYSÜZ MUSTAFA,SEFEROĞLU SÜLEYMAN SADİ, Editör
  • Eskişehir Osmangazi Üniversitesi Adresli: Evet

Özet

This chapter examines the theoretical foundations, educational applications, and critical challenges of AI, with a focus on its transformative impact in education. Building on principles of machine learning and deep learning, it demonstrates how AI technologies can enhance teaching and learning by enabling personalized learning paths, providing immediate feedback, supporting data-driven decision-making, and improving accessibility for diverse learner groups. These capabilities position AI as a powerful tool for fostering more inclusive, equitable, and sustainable education systems. At the same time, the chapter acknowledges significant risks and ethical dilemmas associated with AI integration, particularly AI hallucinations, where systems generate fabricated or misleading information. It analyzes the leading causes of hallucinations, including probabilistic predictions, insufficient or biased training data, overfitting, and poorly designed prompts. It discusses potential consequences, including the spread of misinformation, erosion of academic trust, and reinforcement of educational inequalities.

To address these issues, strategies are proposed, including ensuring data quality, effective prompt engineering, maintaining human oversight, and striking a balance between accuracy and creativity. By combining theoretical insights with practical examples, the chapter offers a comprehensive assessment of AI in education, outlining a roadmap for its responsible, ethical, and human-centered use.