Yapay Zekâ ve Eğitim: Bibliyometrik Analiz Yoluyla Bir Bakış

Year 2024, Volume: 21 Issue: 2, 450 - 470, 16.08.2024

Mehmet Uysal , Murat Topal , Zeliha Demir Kaymak

https://doi.org/10.33711/yyuefd.1381074

Abstract

Özellikle son yıllarda yapay zekâ kullanım alanının ve sıklığının arttığı görülmektedir. Bununla birlikte yapay zekâ alanında meydana gelen önemli gelişmelerin eğitimde devrim niteliğinde değişikliklere yol açma potansiyeli olduğu tartışılmaktadır. Eğitim alanında yapay zekâ konusunda yapılan çalışmaların incelenmesi ve değerlendirilmesi yapay zekânın öğrenme deneyimlerini etkili ve verimli kılma potansiyelinin gerçekleşmesi açısından gerekli görülmektedir. Bu çalışmada eğitim alanında yapay zekâ çalışmaları incelenerek eğilimlerin ortaya konması amaçlanmıştır. Bu amaca yönelik olarak çalışmaların yıllar içerisindeki değişimi, yapay zekâyla birlikte ele alınan konuların belirlenmesi, bu konuların zaman içerisindeki değişimi, yayınların ve yazarların performansına ilişkin göstergelerin bulunması hedeflenmiştir. Sistematik literatür taraması olarak tasarlanan bu çalışmada uluslararası alanyazında en çok atıf alan ve kaliteli yayınların yer aldığı kabul edilen ayrıca sistematik literatür çalışması için gerekli uygun verileri indirme ve analiz etme imkânı sunan Web of Science veri tabanından yararlanılmıştır. Sorgulamalar sonucunda elde edilen 1164 yayına ait analizler sonucunda, eğitim alanında yapay zekâ konusundaki çalışmaların 1980’li yıllara kadar uzandığı görülmekle birlikte, özellikle son beş yılda pozitif yönde bir kırılma yaşanmış ve yayınların sayısında büyük bir artış ortaya çıkmıştır. En fazla yayın, teknoloji temalı eğitim dergilerinde yer almıştır. Bununla birlikte İspanyolca, Rusça, Portekizce gibi farklı dillerde yayınlar olmasına rağmen, İngilizce’nin (%92- 1074) eğitimde yapay zekâ konusunda çok daha fazla tercih edildiği görülmüştür.

Keywords

yapay zeka, eğitim, bibliyometrik analiz.

Artificial Intelligence and Education: An Insight Through Bibliometric Analysis

Abstract

The utilization of artificial intelligence has experienced significant growth and expansion in recent years. The education field is not an exception, and this development holds the potential for revolutionary impacts on the educational landscape. These radical effects can improve learning experiences by making them more effective and efficient. The objective of this research is to illustrate the evolution of the artificial intelligence landscape within education, identifying shifts in research focus over time and assessing the performance of publications and authors. This study was designed as a systematic literature review. Data were collected from the Web of Science database, which is considered to contain the most cited and high-quality publications in the international literature and offers the opportunity to download and analyze the appropriate data required for systematic literature reviews. After the queries which contain filters to obtain pertinent literature 1164 publications have been found. Although studies on artificial intelligence in the field of education can be traced back to the 1980s, the majority of publications have emerged within the last five years. Notably, journals centred on technology in education have published the highest number of articles. While publications in various languages, such as Spanish, Russian, and Portuguese, exist, English (92% - 1074) serves as the lingua franca for discussions on artificial intelligence in education.

Keywords

artificial intelligence, education, bibliometric analysis

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