An empirical study on how cognitive diagnostic feedback affects primary school pupils' learning of Chinese writing

被引:2
|
作者
Yang, Gang [1 ]
Zheng, Xiao-Qian [1 ]
Li, Qian [1 ]
Han, Miao [1 ]
Tu, Yun-Fang [2 ]
机构
[1] Wenzhou Univ, Coll Educ, Dept Educ Technol, Wenzhou, Peoples R China
[2] Fu Jen Catholic Univ, Dept Lib & Informat Sci, Taipei, Taiwan
关键词
Intelligent-based cognitive diagnostic feedback; epistemic network analysis (ENA); intelligent-based writing diagnostic platform; learning engagement; Chinese writing; writing score-based traditional feedback; HIGHER-ORDER; STUDENTS; IMPACT;
D O I
10.1080/10494820.2022.2159446
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
In Chinese, writing is a basic competency that pupils should possess. But it is still challenging for teachers to improve pupils' writing abilities. Therefore, this study proposes an intelligence-based cognitive diagnostic feedback strategy to improve pupils' writing ability and writing learning quality by analyzing their writing performance, epistemic network structure, and learning engagement. Thepupils are randomly divided into an experimental group (N = 28) and a control group (N = 28). The experimental group adopts the ICDF strategy, while the control group adopts the WS-TF strategy. The results showed that the I-CDF strategy improved the pupil's writing scores and learning engagement. In addition, the results of the epistemic network analysis showed that the pupils using the ICDF strategy focused on dynamic descriptions such as action, psychology, and environmental changes in vocabulary use, and the epistemic network structure was more complex than the control group. The interviews showed that the pupils in the experimental group were highly satisfied with I-CDF strategy.
引用
收藏
页码:2758 / 2775
页数:18
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