Araştırma Makalesi

Using Artificial Intelligence in measurement and evaluation processes in education

Cilt: 8 Sayı: 14 4 Nisan 2026
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Using Artificial Intelligence in measurement and evaluation processes in education

Öz

In recent years, the potential benefits of artificial intelligence (AI) in education have gained significant momentum. Foremost among these gains are its contributions to the measurement and evaluation processes that form the foundation of education. In this context, this study examines the potential benefits, application areas, risks, and recommendations that can be developed in this context for the use of AI in educational measurement and evaluation, using a systematic literature review method. The research findings reveal that AI has the potential to offer significant contributions to students (in-depth performance insights, individualized education, identification of at-risk students, increased engagement and motivation), educators/administrators (time savings, automated grading, increased efficiency, objective evaluation), and measurement-evaluation processes (validity/reliability analysis, automated item generation, test improvement, data-driven decision-making). However, it is emphasized that ethical violations that may arise with the use of AI should also be considered. Particularly, the importance of adopting a controlled approach under teacher guidance in educational measurement and evaluation processes is one of the main conclusions of the study. In this context, various recommendations have been presented in technical, pedagogical, ethical, and legal dimensions for the effective and safe use of AI in educational measurement and evaluation processes. These recommendations aim to maximize the benefits from the innovative opportunities offered by AI while minimizing potential risks.

Anahtar Kelimeler

Kaynakça

  1. Adiguzel, T., Kaya, M. H., & Cansu, F. K. (2023). Revolutionizing education with AI: Exploring the transformative potential of ChatGPT. Contemporary Educational Technology, 15(3), ep429. https://doi.org/10.30935/cedtech/13152
  2. AI in Measurement and Education. (2025). About. https://www.ncme-aime.org/about.html
  3. Alers, H., Malinowska, A., Meghoe, G., & Apfel, E. (2024). Using ChatGPT-4 to grade open question exams. In K. Arai (Ed.), Advances in information and communication (pp. 1–9). Springer Nature. https://doi.org/10.1007/978-3-031-53960-2_1
  4. Alqahtani, T., Badreldin, H. A., Alrashed, M., Alshaya, A. I., Alghamdi, S. S., bin Saleh, K., & Albekairy, A. M. (2023). The emergent role of Artificial Intelligence, natural learning processing, and large language models in higher education and research. Research in Social and Administrative Pharmacy, 19(8), 1236–1242. https://doi.org/10.1016/j.sapharm.2023.05.016
  5. Ayala-Pazmiño, M. F. (2023). Inteligencia artificial en la educación: Explorando los beneficios y riesgos potenciales [Artificial Intelligence in education: Exploring the potential benefits and risks]. Digital Publisher CEIT, 8(3), 892–899. https://doi.org/10.33386/593dp.2023.3.1827
  6. Ayva Yörü, F. G., & Büyükkıdık, S. (2024, October 4–6). Eğitimde ölçme ve değerlendirme alanında Yapay Zekâ: Sistematik bir derleme [Artificial Intelligence in educational measurement and evaluation: A systematic review] [Oral presentation]. International Measurement, Selection and Placement Symposium (p. 55). Ankara, Türkiye.
  7. Baker, R. S., Martin, T., & Rossi, L. M. (2016). Educational data mining and learning analytics. In A. A. Rupp & J. P. Leighton (Eds.), The Wiley handbook of cognition and assessment: Frameworks, methodologies, and applications (pp. 379–396). Wiley. https://doi.org/10.1002/9781118956588.ch16
  8. Baltacı, A. (2019). Nitel araştırma süreci: Nitel bir araştırma nasıl yapılır? [Qualitative research process: How to conduct qualitative research]. Ahi Evran Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 5(2), 368–388. https://doi.org/10.31592/aeusbed.598299

Ayrıntılar

Birincil Dil

İngilizce

Konular

Eğitim Üzerine Çalışmalar (Diğer)

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

4 Nisan 2026

Gönderilme Tarihi

8 Eylül 2025

Kabul Tarihi

8 Kasım 2025

Yayımlandığı Sayı

Yıl 2026 Cilt: 8 Sayı: 14

Kaynak Göster

APA
Temur, S. (2026). Using Artificial Intelligence in measurement and evaluation processes in education. Uluslararası Sosyal Bilimler ve Eğitim Dergisi, 8(14), 1-32. https://izlik.org/JA72EM45TW
AMA
1.Temur S. Using Artificial Intelligence in measurement and evaluation processes in education. USBED. 2026;8(14):1-32. https://izlik.org/JA72EM45TW
Chicago
Temur, Süleyman. 2026. “Using Artificial Intelligence in measurement and evaluation processes in education”. Uluslararası Sosyal Bilimler ve Eğitim Dergisi 8 (14): 1-32. https://izlik.org/JA72EM45TW.
EndNote
Temur S (01 Nisan 2026) Using Artificial Intelligence in measurement and evaluation processes in education. Uluslararası Sosyal Bilimler ve Eğitim Dergisi 8 14 1–32.
IEEE
[1]S. Temur, “Using Artificial Intelligence in measurement and evaluation processes in education”, USBED, c. 8, sy 14, ss. 1–32, Nis. 2026, [çevrimiçi]. Erişim adresi: https://izlik.org/JA72EM45TW
ISNAD
Temur, Süleyman. “Using Artificial Intelligence in measurement and evaluation processes in education”. Uluslararası Sosyal Bilimler ve Eğitim Dergisi 8/14 (01 Nisan 2026): 1-32. https://izlik.org/JA72EM45TW.
JAMA
1.Temur S. Using Artificial Intelligence in measurement and evaluation processes in education. USBED. 2026;8:1–32.
MLA
Temur, Süleyman. “Using Artificial Intelligence in measurement and evaluation processes in education”. Uluslararası Sosyal Bilimler ve Eğitim Dergisi, c. 8, sy 14, Nisan 2026, ss. 1-32, https://izlik.org/JA72EM45TW.
Vancouver
1.Süleyman Temur. Using Artificial Intelligence in measurement and evaluation processes in education. USBED [Internet]. 01 Nisan 2026;8(14):1-32. Erişim adresi: https://izlik.org/JA72EM45TW

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Baş Editör: Prof. Dr. Aytekin Demircioğlu

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