Co-evolutionary Hybrid Intelligence (CHI) approach, will not only discover interdisciplinary facets including past exam scores, attendance records, demographic information, and socio-economic factors but also interpret the influence of every component i.e., teacher, student, and learning environment to predict student ...
Aug 26, 2019 · The global model, specifically the hybrid model based on K-means clustering, can predict the grade subject based on previous courses. In ...
The global model, specifically the hybrid model based on K-means clustering, can predict the grade subject based on previous courses. In addition, an LDA ( ...
The present work addresses the problem of low academic performance in engineering degree students. Models capable of predicting academic performance.
The global model, specifically the hybrid model based on K-means clustering, can predict the grade subject based on previous courses. In addition, an LDA ( ...
Sep 11, 2024 · This research work aims to develop a hybrid model that predicts academic performance based on admission pattern, thereby assessing the ...
Mar 24, 2022 · We built a hybrid 2D CNN model by combining two different 2D CNN models to predict academic performance. Our sample comprised 1D data, so we ...
The accuracy, precision, recall, and F1 score of the model achieved with hybrid intelligence is 79.5, 49.9, 52.3, 53.2 when compared to 71.9,48.30,46.6,46.1 ...
Feb 18, 2022 · The aim of this study is to propose a novel intelligent approach to predict students' performance using support vector regression (SVR) ...
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This paper collects and processes a large amount of learning data, based on which a new model of student learning performance prediction is established. The ...