In this paper, we propose a method for predicting final grades of students by a Recurrent Neural Network (RNN) from the log data stored in the educational ...
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Feb 21, 2018 · In this paper, we propose a method for predicting final grades of students by a Recurrent Neural Network (RNN) from the log data stored in ...
This paper presents a study on Artificial Neural Network (ANN) model development in predicting academic performance of engineering students. Cumulative Grade ...
This paper presents a study on Artificial Neural Network (ANN) model development in predicting academic performance of engineering students. Cumulative Grade ...
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In this research, an artificial neural network model was proposed to predict students' academic performance in their courses, which obtained an accuracy of ...
The findings suggest that it is possible to systematically implement artificial neural networks to classify students' academic performance as either high ( ...
The predictive model utilizes Artificial Neural Network (ANN) technique that was developed to predict the actual performance of first semester students based on ...
Missing: approach | Show results with:approach
In this paper, we proposed a Recurrent Neural Network (RNN) classifier model to predict the students' performance. RNN is a variant of a neural network. It can ...
This neural network predicts grades of students on a basis of their activities in school, description of personal life, etc. DNNRegressor of Tensorflow is ...
May 12, 2024 · This study introduces a system that we termed ASIST: a novel Attention-aware convolutional Stacked BiLSTM network for student representation ...