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2018 | OriginalPaper | Buchkapitel

Enhancing Teacher Assessment Literacy Using a Blended Deep Learning Approach

verfasst von : Wing Shui Ng, Haoran Xie, Fu Lee Wang

Erschienen in: Blended Learning. Enhancing Learning Success

Verlag: Springer International Publishing

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Abstract

Assessment literacy refers to educators’ understanding of the principles and practices of sound assessment. It has been considered as a critical professional requirement in educational system since it to a great extent affects students’ learning. However, research has shown that both pre-service and in-service teachers are weak in assessment literacy and lack confidence to implement effective assessment. The main reasons of unsatisfactory assessment literacy among teachers are the limited pre-service assessment education and a lack of research on the pedagogies on assessment education. To enrich effective practice of assessment literacy education, a blended deep learning approach for educating teacher assessment literacy was applied in this study. The strategy combined a face-to-face component for content-based teaching and an online learning component for process-based teaching. The online learning component with the focus on peer assessment engaged participants in a deep learning of assessment. Participants expressed that they had obtained an in-depth understanding on assessment literacy and particularly on peer assessment. They had developed better confidence and are willing to implement peer assessment in their future teaching. This study provides a case of using a blended learning approach on assessment education for reference.

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Metadaten
Titel
Enhancing Teacher Assessment Literacy Using a Blended Deep Learning Approach
verfasst von
Wing Shui Ng
Haoran Xie
Fu Lee Wang
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-319-94505-7_16