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Published on: September 11, 2021
Personalized Teaching Questioning Strategies Study Based on Learners' Cognitive Structure Diagnosis
Yuan Zhao1,2, Tao Huang1, Han Wang3
1Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan 430079, China.
Abstract:
Personalized education has been a widely shared goal pursued by Chinese and foreign educators. As the primary method of teacher-student interaction, the importance of personalized questioning is self-evident. Due to a lack of technical support, teachers rely on their teaching experience to ask questions without considering the learning situation of learners. This results in teaching questioning being unable to support learners' learning. These questions are relatively shallow and cannot promote the construction and transfer of learners' knowledge. Cognitive diagnostic technology could diagnose learners' cognitive states and provide services for personalized teaching. Therefore, a personalized teaching questioning strategy based on learners' cognitive structure diagnosis was proposed in this study. Firstly, we diagnosed learners' cognitive structure through usability, distinguishability, and stability. Secondly, we discussed the types of questions that teachers should raise when facing learners in different situations. We also discussed the application of personalized teaching questioning strategies. The experiment took place at M Primary School in Ningxia, China, with the participation of one teacher and ninety-seven fourth-grade students. Seven lessons were observed and videotaped across a range of topics. The study revealed that personalized teaching questioning strategies could improve learners' academic performance and subject literacy. They can also increase the number of teacher questioning, change the depth of teacher questioning content, and expand the scope of questioning subjects.
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