In:
SAGE Open, SAGE Publications, Vol. 13, No. 4 ( 2023-10)
Abstract:
Plain Language Summary Many-Faceted Rasch Model (MFRM) analysis using instructional plans written by pre-service teachers and scores form nine researchers to more objectively and accurately identify the levels and differences in pre-service teachers’ instructional innovation capabilities Purpose: Using Many-Faceted Rasch Model (MFRM) to create a profile of pre-service teachers’ with regard to their instructional innovation capability. Methods: This study selected nine researchers to evaluate the instructional innovation capabilities of 60 pre-service teachers from a Chinese normal university. The MFRM was used to measure and analyze the rater severity, difficulty of evaluation criteria, and instructional innovation capability of pre-service teachers. Conclusions: 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. Implications: Different instructional plans, the severity of following to the plan and rater severity might have caused differences in the evaluation results.
Type of Medium:
Online Resource
ISSN:
2158-2440
,
2158-2440
DOI:
10.1177/21582440231218802
Language:
English
Publisher:
SAGE Publications
Publication Date:
2023
detail.hit.zdb_id:
2628279-3
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