Peer assessment of peer assessment plan: a deep learning approach of teacher assessment literacy Online publication date: Tue, 02-Jun-2020
by Wing Shui Ng; Haoran Xie; Fu Lee Wang; Tingting Li
International Journal of Innovation and Learning (IJIL), Vol. 27, No. 4, 2020
Abstract: The rationales of using assessment to enhance learning have been highly recognised. However, the issue of assessment literacy deficiency and insecurity about effective assessment implementation among pre-service and in-service teachers has been documented, which inevitably weakens the effectiveness of using assessment to improve learning. In this study, a deep learning approach with a core component of peer assessment of peer assessment plan was implemented to enhance the assessment literacy of a group of pre-service teachers. The design was informed by the taxonomy of learning in the cognitive domain and affective domain. Results show that they were able to prepare peer assessment plans in good quality. After conducting the activity of peer assessment on peer assessment plan, they demonstrated a deep level of attitude change and explicitly expressed their willingness to implement peer assessment in their future teaching. The deep learning approach to a great extent enhanced teachers' assessment literacy.
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