メタ理解判断プロセスの認知モデリング

抄録

Among the models of the metacomprehension judgment process, the anchoring and adjustment model by Zhao and Linderholm (2008) is superior considering its generality and explanatory capacity. However, this model is theoretical rather than empirical. Therefore, the following two major problems need to be solved: (1) quantifying the anchoring and adjustment effect and (2) quantifying the influence of the factors that affect the adjustment process. To tackle these problems, we proposed a novel mathematical formulation of the anchoring and adjustment model by considering metacomprehension as a probabilistic distribution. Moreover, using data collected from an online experiment, we estimated the parameters of the proposed model. As a result, it is indicated that (a) the effect of anchoring by self-perception of ability is larger than that of adjustment by experience in reading metacomprehension, and (b) five factors such as familiarity of the contents can explain the adjustment process. Finally, based on the results, we discussed the explanatory capacity of the model, as well as the quantitative effect and influence of the above two points.