Dataset
Dataset for "The development and validation of a self-audit survey instrument that evaluates preservice teachers’ confidence to use technologies to support student learning"
OSF Projects
Centre for Open Science
2024
Abstract
This study involves the development and validation of a self-audit survey instrument that evaluated 296 PSTs’ confidence to use technologies to support student learning. Using Rasch modelling techniques, construct validity was assessed for participant and item fit for 100 survey items organized within 10 components representing the construct PST confidence to use technologies to support student learning. Rasch modelling indicated the need to remove 23 ill-fitting items, which resulted in the development of a 77-item survey with strong construct validity and reliability. Technologies educators and researchers are encouraged to use this validated survey as a PST self-audit instrument.
Details
- Title
- Dataset for "The development and validation of a self-audit survey instrument that evaluates preservice teachers’ confidence to use technologies to support student learning"
- Authors
- Michael D Carey (Data Collector) - University of the Sunshine Coast, Queensland, School of Education and Tertiary Access
- Publication details
- OSF Projects
- Publisher
- Centre for Open Science
- Date collected
- 01-Jul-2022–30-Sep-2022
- Date published
- 2024
- DOI
- 10.17605/OSF.IO/V5WRU
- Organisation Unit
- Indigenous and Transcultural Research Centre; School of Education and Tertiary Access; Engage Research Lab
- Language
- English
- Record Identifier
- 991007798802621
- Output Type
- Dataset
Metrics
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