Back to Search Start Over

Context-Specificity to Reduce Bias in Self-Assessments: Comparing Teachers' Scenario-Based Self-Assessment and Objective Assessment of Technological Knowledge

Authors :
Tamara Kastorff
Michael Sailer
Johanna Vejvoda
Florian Schultz-Pernice
Valentin Hartmann
Anna Hertl
Sonja Berger
Karsten Stegmann
Source :
Journal of Research on Technology in Education. 2023 55(6):917-930.
Publication Year :
2023

Abstract

Previous research has focused on self-assessments rather than objective assessments for assessing teachers' technological knowledge (TK). Notwithstanding, empirical studies have failed to show stable relationships between self-assessments and objective assessments. In this study, we investigate the extent to which scenario-based self-assessments of (student) teachers' (N = 75) TK can serve as anchors by helping them to identify the relevant skills that are required in concrete and authentic situations and might be therefore effective to bring the results of objective and subjective measures closer together using a path analytical model. Overall, the results suggest that scenario-based self-assessment is promising for the approximation of the results of objective assessment measures, especially for operational technical skills.

Details

Language :
English
ISSN :
1539-1523 and 1945-0818
Volume :
55
Issue :
6
Database :
ERIC
Journal :
Journal of Research on Technology in Education
Publication Type :
Academic Journal
Accession number :
EJ1404860
Document Type :
Journal Articles<br />Reports - Research
Full Text :
https://doi.org/10.1080/15391523.2022.2062498