Research trends in the use of artificial intelligence in higher education

被引:0
|
作者
Akhmadieva, Roza Sh. [1 ]
Kalmazova, Nadezhda A. [2 ]
Belova, Tatyana [3 ]
Prokopyev, Alexey [4 ]
Molodozhnikova, Natalia M. [5 ]
Spichak, Valentina Yu [6 ]
机构
[1] Kazan State Inst Culture, Kazan, Russia
[2] Peoples Friendship Univ Russia, Foreign Languages Dept, Moscow, Russia
[3] Almetyevsk State Technol Univ, Petr High Sch, Dept Dev & Operat Oil & Gas Fields, Almetyevsk, Russia
[4] Plekhanov Russian Univ Econ, Dept State & Legal Discipline, Moscow, Russia
[5] IM Sechenov First Moscow State Med Univ, Dept Biol & Gen Genet, Moscow, Russia
[6] IM Sechenov First Moscow State Med Univ, Inst Linguist & Intercultural Commun, Moscow, Russia
关键词
higher education; bibliometric analysis; research trend; artificial intelligence; AI; LEARNING ANALYTICS;
D O I
10.3389/feduc.2024.1438715
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
The latest technological advancements have greatly interested researchers in artificial intelligence (AI) in education. In parallel, researchers have expressed concern about using and applying AI in education. However, there is a shortage of research that comprehensively and holistically examines trends in the use of AI in higher education. Hence, this study aimed to comprehensively analyze and assess AI research trends in higher education. In the SCOPUS database, we conducted a bibliometric analysis of 1,563 articles on research on AI in education. Our results revealed that the use of AI in education has increased dramatically from 2004 to 2023. In particular, a dramatic increase and peak exist after 2019. We also found limited interaction among scholars studying AI. Furthermore, our findings indicate that most of the most influential institutions are located in developed countries. Moreover, our findings demonstrated that AI research primarily concentrated on comprehending the impact of AI-based instruction, with the majority of these studies taking place in engineering education between 2017 and 2020. We also noticed that research on medical education in higher education occurred between 2015 and 2017. In addition, before 2015, research used AI in medical education as a teaching method to implement problem-based learning in higher education.
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页数:13
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