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Nov 21, 2024 · In order to operationalize our approach, we introduce the concept of the “Grey Area”, that is, the area of uncertainty in which the student ...
Accordingly, the space “Below the Grey Area” denotes the area where the student is predicted to answer incorrectly (the fitted probability is considerably lower ...
Based on the model's predictions, we define the concept of the “Grey Area”, a probabilistic region in which the model's predictive accuracy is low. We argue ...
In this paper, we model the grey area symmetrically around the classification threshold for simplicity and because the binary classifier was set to 0.5 ...
Furthermore, we introduce the concept of the "Grey Area", the area in which the student model cannot predict with acceptable accuracy whether a student has ...
In this paper, we model the grey area symmetrically around the classification threshold for simplicity and because the binary classifier was set to 0.5 ...
The "Grey Area": A Computational Approach to Model the Zone of Proximal Development · Irene-Angelica Chounta, Patricia L. Albacete, +2 authors. B. McLaren ...
In order to operationalize our approach, we introduce the concept of the “Grey Area”, that is the area of uncertainty in which the student model cannot predict ...
Jun 3, 2017 · Furthermore, we introduce the concept of the “Grey Area”, the area in which the student model cannot predict with acceptable accuracy whether a ...
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The "Grey Area": Towards a Computational Approach for Modeling the Zone of Proximal Development. · Physics, Computer Science · 2017.