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在新基础教育理念下的小学语文课堂上,师生之间的对话质量是决定教学有效程度的一个重要因素。在一般的课堂观察中,教师只能凭借自身经验,从学生的课堂反应中捕捉对话的效度、深度,评课主观性过强,理性论据不足。而基于大数据的课堂观察法则能在一定程度上弥补这一不足,让教师获取充足的数据来佐证,从而更加有的放矢地观察、反思、重建,并不断提高自身的追问水平。本研究借助此方法,聚焦课堂教学中师生对话深度问题,对两节小学语文现场课进行教学反思,提出几个影响课堂追问的因素。
Under the concept of new basic education, the quality of the dialogue between teachers and students in primary school Chinese language classrooms is an important factor that determines the effectiveness of teaching. In general classroom observation, teachers can only rely on their own experience to capture the validity and depth of dialogues from the students’ classroom responses, and the subjectivity of the course is too strong and the rational arguments are not sufficient. However, the law of classroom observation based on big data can make up for the deficiency to a certain extent, allowing teachers to obtain sufficient data to support them, so that they can observe, reconsider, reconstruct and improve their level of questioning continuously. With this method, this study focuses on the depth of dialogue between teachers and students in classroom teaching and conducts teaching reflections on two Chinese primary school language classrooms, putting forward several factors that affect classroom inquiry.