Oct 10, 2023 · This study proposes a novel model for predicting university student performance based on multi-feature fusion and attention mechanisms.
The proposed model focuses on analyzing historical academic grades from multiple dimensions among university students to extract features that reveal ...
Oct 17, 2023 · To address this challenge, this study proposes a novel model for predicting university student performance based on multi-feature fusion and ...
This article proposes a model to predict student performance via Attention-based Multi-layer LSTM (AML), which combines student demographic data and clickstream ...
Nov 2, 2022 · Finally, a performance prediction model based on student behavior feature mode difference is proposed to improve the model's prediction accuracy ...
A model to predict student performance via Attention-based Multi-layer LSTM (AML), which combines student demographic data and clickstream data for ...
Missing: University Experiment
Xie (2021) proposed a real-time student performance prediction model based on an Attention-based Multi-layer LSTM. Every five weeks, the model measured the ...
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A University Student Performance Prediction Model and Experiment Based on Multi-Feature Fusion and Attention Mechanism · Daozong SunRongxin Luo +6 authors
Oct 25, 2023 · This paper seeks to find the best grade prediction model based on data mining. Firstly, the study uses the Factor Analyze (FA) model to extract features from ...
Missing: Fusion | Show results with:Fusion
Jun 14, 2024 · This paper proposes a new knowledge tracing model based on cognitive theory and attention mechanisms.