Data

Dataset for "The development and validation of a self-audit survey instrument that evaluates preservice teachers’ confidence to use technologies to support student learning"

University of the Sunshine Coast
Carey, Michael
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.17605/OSF.IO/V5WRU&rft.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&rft.identifier=10.17605/OSF.IO/V5WRU&rft.publisher=Centre for Open Science&rft.description=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.&rft.creator=Carey, Michael &rft.date=2024&rft.relation=11272733270002621&rft_rights=CC BY-NC 4.0&rft_subject=Teacher education and professional development of educators&rft_subject=Education systems&rft_subject=EDUCATION&rft.type=dataset&rft.language=English Access the data
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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.

Issued: 2024

Created: 20220701 to 20220930

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Education | Education Systems | Teacher Education and Professional Development of Educators |

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  • usc : 11272733220002621
ACN 633 798 857