Work

Latent Dirichlet Allocation-Based Topic Mining Analysis of Educational Scientific Research Projects Based on 2360 NSF Education Projects

Year: 2023

Type: article

Abstract: The National Science Foundation has promoted the development of education in the U.S., and its establishment reflects the trend of education development. This study collects the data on 2360 NSF educational projects over the last three years to answer two research questions: What are the major research topics of NSF educational projects? What are the key projects doing? Through Latent Dirichlet allocation topic modelling, content analysis is carried out on the titles and abstracts of the 2360 projects, and eight topics are obtained from them, including top-notch innovative talent cultivation, STEM education for low-income groups, undergraduate education, vocational education, cutting-edge technology education, big data-driven technology, artificial intelligence, and teacher development.

Source: TEM Journal

DOI: 10.18421/tem122-32

Authors: Jining Han, Geping Liu, Yuying Yang

Institution: Southwest University

Language: English

Topic: Computational and Text Analysis Methods

Subfield: General Social Sciences

Field: Social Sciences

Domain: Social Sciences

SDG: Quality education

Open Access status: gold

Estimated APC paid: $647