The Literature Review of Evolution Progress and Hot Spots of Educational Artificial Intelligence

摘要

Taking 1478 pieces of articles about educational artificial intelligence study included in the Web of Science Core Collection from 1996 to 2018 as experimental data, this study adopts a bibliometric analysis method and visual analysis tool CiteSpace to accomplish an in-depth exploration of aspects such as evolutionary process, hot issues, and frontier analysis. The study discovers that the quantity of the articles about educational artificial intelligence presents in a wavelike upward trend. The most concentrated studies are in European countries. The evolution of study has experienced the process of "introduction-development-deepening" and its hot subjects include reflection on teaching practice, empirical evidence to support learning and reform path. In general, the case study evolves a new research framework to reveal the application of educational artificial intelligence.