ERIC Number: EJ1414129
Record Type: Journal
Publication Date: 2023
Pages: 15
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: EISSN-2158-2440
Available Date: N/A
Pre-Service Teachers' Instructional Innovation Capabilities: A Many-Faceted Rasch Model Analysis
Jun Liu; Meng Sun; Zile Liu; Yanhua Xu
SAGE Open, v13 n4 2023
Innovation capability has become a necessary requirement for qualified teachers in the context of informatization. However, the validity and objectivity of existing assessments are unclear. Therefore, this study selected nine researchers to evaluate the instructional innovation capabilities of 60 pre-service teachers from a Chinese normal university. The Many-Faceted Rasch Model (MFRM) was used to measure and analyze the rater severity, difficulty of evaluation criteria, and instructional innovation capability of pre-service teachers. Combined with qualitative analysis, the results showed that most participants had moderate instructional innovation capability, and only certain individuals demonstrated a high level. In addition, innovation related to teaching content and learning activities was easier than innovation related to instructional and evaluation strategies. These results suggest directions for fostering pre-service teachers' instructional innovation capabilities.
Descriptors: Preservice Teachers, Instructional Innovation, Competence, Item Response Theory, Lesson Plans, Evaluation Methods, Foreign Countries, Evaluation Criteria, Evaluators
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: China (Beijing)
Grant or Contract Numbers: N/A
Author Affiliations: N/A