Author(s)

Li Gao ¹

Affiliation(s)

¹ School of Educational Science, Shanxi Normal University, Taiyuan 030000, China

Corresponding Author

Li Gao

ABSTRACT

The achievement of teacher education policy goals is inseparable from the scientific selection and rational use of policy tools. This research is based on the perspective of policy tools, with the help of content analysis, according to sample selection, constructing a two-dimensional analysis framework, text analysis unit and data analysis logic for teacher education policy, and analyzes the policy tool preferences and laws in 25 teacher education policy texts. This study found that there are obvious differences and unbalanced characteristics in teacher education policy tools used in teacher education; command tools and capacity building tools are "simple" and diverse, and lower-level tools are insufficient; policy tools are biased towards long-term construction and ignore short-term planning; The lack of systemic transformative tools, and the lack of a scientific combination of policy tools. Propose balanced teacher education policy tools; optimize the combination of policy tools; increase incentive tools and system transformational tools; actively introduce voluntary tools to achieve the corresponding optimization path of teacher education governance with the participation of multiple subjects.

KEYWORDS

Teacher education policy, Policy tool, Content analysis method

CITE THIS PAPER

Li Gao. The Tool Preference and Optimization Path of Teacher Education Policy: Content Analysis Based on 25 Policy Texts. Advances in Educational Technology and Psychology (2021) 5: 29-44. DOI: http://dx.doi.org/10.23977/aetp.2021.57005.

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Sponsors, Associates, and Links

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• Curriculum and Teaching Methodology
  
  
• Transactions on Comparative Education
  
  
• Applied & Educational Psychology
  
  
• Advances in Vocational and Technical Education
  
  
• Adult and Higher Education