Research on recommendation of learning resources at home and abroad from the perspective of wisdom education - visual analysis based on CiteSpace knowledge map

Abstract

It is of great significance to analyze the hot content and research topics of learning resource recommendation research at home and abroad and to study the personalized recommendation technology of learning resources against the background of wisdom education. Therefore, this paper takes the domestic and foreign literature data of learning resource recommendation research collected by CNKI and Web of Science from 2006 to 2021 as the data source. With the help of bibliometrics and CiteSpace visual analysis software, the knowledge map of keyword co-occurrence, keyword clustering, keyword time zone and research institution collaboration network is analyzed. We explore the development of learning resource recommendation research at home and abroad from 2006 to 2021 and the research hotspots in recent years. The research shows that the number of published studies at home and abroad is increasing year by year. Domestic research on learning resource recommendation focuses on personalized recommendations of learning resources, recommendation algorithms and learning modes. Foreign countries focus on model construction, behavior prediction and resource recommendation. Domestic scholars and research institutions lack a sense of cooperation, there is basically no cooperative relationship among universities, and there is a lack of cooperation among foreign scholars, but research institutions cooperate closely.