Abstract
Digital literacy is one of the essential teacher competencies in the twenty-first century. It is crucial for performing high-quality learning activities supporting science subjects, especially chemistry whereby there are many abstract concepts and limited visualization without digital tools. This study aims to validate the adapted digital literacy questionnaire and investigate pre-service chemistry teachers’ ability to apply digital literacy in the learning context. The digital literacy questionnaire contains 14 items measuring digital technical, digital cognitive, and digital social-emotional aspects. Participants were 885 pre-service chemistry teachers from Kalimantan province in Indonesia selected randomly after finishing six months of the independent program for online learning. The analysis results showed that the partial credit model with the three-dimensional model has better fit parameters than the rating scale model with a three-dimensional model and unidimensional model. The differential item functioning analysis revealed no bias issues based on gender, confirming the measurement invariance statistics achieved. No significant gender differences were found based on pre-service chemistry teachers’ abilities in subdimensions. Pre-service chemistry teachers performed better in the digital technical aspect than in the other aspects of digital literacy. Moreover, the pre-service chemistry teachers’ competencies were categorized and discussed to offer a comprehensive evaluation.
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The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
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Acknowledgements
This paper is dedicated to the memory of Professor Benő Csapó who sadly passed away on 26/06/2023. We would also like to extend our gratitude to Dan Cloney, Ph.D., a Senior Research Fellow in Education Policy and Practice at ACER, for granting us full access to ConQuest version 5 software, which greatly facilitated this publication. Additionally, we profoundly appreciate the time and effort invested by the editors and reviewers in providing insightful feedback that significantly enhanced the quality of our manuscript.
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The study has been made possible by collaboration from the Directorate General of Higher Education (DIKTI), the Chemistry education department at Tanjungpura University, the University of Szeged, and Lambung Mangkurat University. This work was supported by Program Kompetisi Kampus Merdeka (PKKM) Grant for research collaboration [0544/E.E3/PM.00.03/2022], 5th July 2022.
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Hairida Hairida: conceptualization, data curation, formal analysis, investigation, methodology, data visualization, and wrote the paper. Soeharto Soeharto: analysis tools or data and wrote the paper. Charalambous Charalambos: analyzed and interpreted the data and revising final draft. Fitria Arifiyanti: analyzed and interpreted the data and research instrument. Benő Csapó: revising the original draft and analyzed and interpreted the data. Atiek Winarti: performed the experiments and data curation. Eny Enawaty: performed the experiments and data curation. Rahmat Rasmawan: conceived and designed the experiments.
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Prof. Csapó Benő has passed away 26/06/2023
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Hairida, H., Benő, C., Soeharto, S. et al. Evaluating Digital Literacy of Pre-service Chemistry Teachers: Multidimensional Rasch Analysis. J Sci Educ Technol 32, 643–654 (2023). https://doi.org/10.1007/s10956-023-10070-z
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DOI: https://doi.org/10.1007/s10956-023-10070-z