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Pre-Service Teachers’ Instructional Innovation Capabilities

A Many-Faceted Rasch Model Analysis

Bibliographic Data

ID16913639
AuthorsJun Liu (0000-0001-5393-3187, Capital Normal University), Meng Sun (0009-0003-4452-7939, Capital Normal University), Zile Liu (0000-0001-5699-759X, Capital Normal University), Yanhua Xu (0000-0001-8822-8891, Jiangxi Normal University, corresponding author)
Year2023
Volume13
Issue4
Publication date2023-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSAGE Open (JOURNAL)
Journal identifiersISSN: 2158-2440 • E-ISSN: 2158-2440
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/21582440231218802
OpenAlexW4390169994
LanguageEN
References cited75

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

Business · Knowledge management · Mathematics education · Rasch model · Computer Science · Gender and Technology in Education · Online Learning and Analytics · Psychology · Technology Adoption and User Behaviour · Marketing

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