Visual application analysis of artificial intelligence in engineering education field based on CiteSpace
Listed in
This article is not in any list yet, why not save it to one of your lists.Abstract
The breakthrough of artificial intelligence(AI) technology provides strong support for education. This paper adopts the Citespace visualization method to quickly identify the key research about the application of artificial intelligence in the field of engineering education, and quickly identify the most active research frontiers and development trends, etc. The analysis is conducted from six dimensions: the number of publication, cooperating country, research institution, co-citation, keyword and emergent word. The hotspots focus on how to use AI and machine learning technologies, especially by building intelligent education models, to revolutionize engineering education models and improve education quality. At the forefront of the latest research, artificial neural networks, optimization, performance, impact, deep neural networks, management, data science has become a hot topic. It implies that future research will pay more attention to the development of deep integration, interdisciplinary integration, data-driven, personalization and intelligence. These research results can provide global knowledge map and literature basis for the in-depth development and wide application of AI in the field of engineering education.
