Enhancing Teacher Assessment Literacy Using a Blended Deep Learning Approach

Wing Shui Ng, Haoran Xie, Fu Lee Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationBlended Learning. Enhancing Learning Success - 11th International Conference, ICBL 2018, Proceedings
EditorsSimon K. Cheung, Lap-Kei Lee, Lam-for Kwok, Kenichi Kubota, Jumpei Tokito
Pages203-214
Number of pages12
DOIs
Publication statusPublished - 2018
Event11th International Conference on Blended Learning, ICBL 2018 - Osaka, Japan
Duration: 31 Jul 20182 Aug 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10949 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Blended Learning, ICBL 2018
Country/TerritoryJapan
CityOsaka
Period31/07/182/08/18

Keywords

  • Assessment for learning
  • Assessment literacy
  • Blended learning
  • Deep learning
  • Peer assessment
  • Peer feedback

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