This article aimed to elucidate in detail some methods of “evaluation” for the “lesson where every child wants to speak up” through conversation analytic investigation of lesson videos of Hiroshi Imaizumi, a former Tokyo public elementary school teacher, and thereby propose the methods as widely shareable know-how to school sites across Japan.
The study findings are as follows. First, two types of TRS (Topically Related Set): “TRS for designedly eliciting mistakes” and “TRS for bouncing off various knowledges or opinions” were set in Imaizumi’s lesson, and different types of evaluations were implemented in each TRS.
Second, in the first TRS, “metaprocess evaluations” were implemented in the AER format composed of “Acknowledgement + Evaluation words + Reason of evaluation,” and thereby “know-how” and “attitude of attentive listening” used in the pupils’ responses were shared with the whole class.
Third, in the second TRS, “evaluations for expandability of knowledge” were implemented with the applied AER format of “change-of-state-token + ‘You said something good’ + driving another IRE sequence,” and it helped expand the knowledge network in the whole class triggered by the pupil’s response.
Fourth, in the second TRS, “direct positive evaluations of mistakes” were implemented by replacing “driving another IRE sequence” with “explanation of the mistake + of intellectual contribution of it” in the “R” slot of the above applied AER format. This affirmed the pupil’s mistake generously in collaboration with “evaluation for expandability of knowledge.”
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