Educational data science;
Teacher educators;
Text mining;
Topic modeling;
Research trends;
PROFESSIONAL-DEVELOPMENT;
CONTENT KNOWLEDGE;
SCOPUS;
PERSPECTIVES;
CURRICULUM;
COVERAGE;
IMPROVE;
SCIENCE;
QUALITY;
IMPACT;
D O I:
10.1016/j.tate.2024.104696
中图分类号:
G40 [教育学];
学科分类号:
040101 ;
120403 ;
摘要:
This study identified research themes in the field of teacher educators using topic modeling analysis and explored their trends over time. A dataset of 754 scientific publications from Scopus was analyzed with Latent Dirichlet Allocation approach. The findings revealed ten distinct research themes, covering pedagogy/knowledge, social justice, collaboration, identity, professional growth, policy, practice, quality standards, English language and technology competency. Thematic research trends exhibited periodic and consecutive patterns since the 2010s. The findings discussed the identified themes relative to existing review studies as well as trends considering the impact of education journals, educational policies and reforms initiatives, and Covid-19 pandemic.
机构:
Cent China Normal Univ, Sch Foreign Languages, English Dept, Wuhan, Hubei, Peoples R China
Cent China Normal Univ, Sch Foreign Languages, English Dept, Luoyulu 152, Wuhan 430079, Hubei, Peoples R ChinaCent China Normal Univ, Sch Foreign Languages, English Dept, Wuhan, Hubei, Peoples R China
Yan, Chunmei
He, Chuanjun
论文数: 0引用数: 0
h-index: 0
机构:
Cent China Normal Univ, Coll English Dept, Wuhan, Peoples R ChinaCent China Normal Univ, Sch Foreign Languages, English Dept, Wuhan, Hubei, Peoples R China
He, Chuanjun
Zhang, Lijun
论文数: 0引用数: 0
h-index: 0
机构:
Cent China Normal Univ, English Dept, Wuhan, Peoples R ChinaCent China Normal Univ, Sch Foreign Languages, English Dept, Wuhan, Hubei, Peoples R China