@inproceedings{31dd7037b9b640d7b8f51bb37e74b689,
title = "Enhancing Teacher Assessment Literacy Using a Blended Deep Learning Approach",
abstract = "Assessment literacy refers to educators{\textquoteright} 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{\textquoteright} 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.",
keywords = "Assessment for learning, Assessment literacy, Blended learning, Deep learning, Peer assessment, Peer feedback",
author = "Ng, {Wing Shui} and Haoran Xie and Wang, {Fu Lee}",
note = "Publisher Copyright: {\textcopyright} 2018, Springer International Publishing AG, part of Springer Nature.; 11th International Conference on Blended Learning, ICBL 2018 ; Conference date: 31-07-2018 Through 02-08-2018",
year = "2018",
doi = "10.1007/978-3-319-94505-7_16",
language = "English",
isbn = "9783319945040",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "203--214",
editor = "Cheung, {Simon K.} and Lap-Kei Lee and Lam-for Kwok and Kenichi Kubota and Jumpei Tokito",
booktitle = "Blended Learning. Enhancing Learning Success - 11th International Conference, ICBL 2018, Proceedings",
}