Oct 29, 2019 · We develop a novel end-to-end deep learning method and propose Dual Path Convolutional Neural Network (DPCNN) for student performance prediction.
We develop a novel end-to-end deep learning method and propose Dual Path Convolutional Neural Network (DPCNN) for student performance prediction.
A novel end-to-end deep learning method is developed and the proposed Dual Path Convolutional Neural Network (DPCNN) for student performance prediction is ...
Ma et al. proposed a dual path convolutional neural network to predict student performance by using the behavioral data [16] . But, the used behaviors are ...
Rianne, C., Chris, S., Ad, K., Uwe, M.: Predicting student performance from LMS data: a comparison of 17 blended courses using Moodle LMS. IEEE Trans.
Feb 10, 2024 · We present a novel model for predicting academic performance in this paper. This model harnesses the power of dual graph neural networks.
ABSTRACT: Most of the educational institutes and entities have an urgent desire to predict and measure student performance. This prediction helps them in ...
DualNets are designed to extract features from dual inputs in different resolutions aiming to enrich visual features. To be specific, the dual paths in a ...
This study presents a novel automatic computer vision system that applies state-of-the-art deep learning technology to sort and classify two Iranian olive ...
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In this paper, we propose a new approach for predicting student performance in higher education based on dynamic graphical neural networks that consider not ...