相关实验视频

Updated: Jun 30, 2026

Use of Galvanic Skin Responses, Salivary Biomarkers, and Self-reports to Assess Undergraduate Student Performance During a Laboratory Exam Activity
07:32

Use of Galvanic Skin Responses, Salivary Biomarkers, and Self-reports to Assess Undergraduate Student Performance During a Laboratory Exam Activity

Published on: February 10, 2016

预测学生大学的学业成绩:圣云州立大学的案例研究

Bilal I Al-Ahmad1,2, Abdullah Alzaqebah3, Rami Alkhawaldeh1,4

  • 1Department of Computer Information Systems, Faculty of Information Technology and Systems, The University of Jordan, Aqaba, Jordan.

PeerJ. Computer science
|September 24, 2025
PubMed
概括

这项研究使用长期短期记忆 (LSTM) 模型预测学生的表现,在预测平均成绩点 (GPA) 中实现了高准确性. 这种先进的模型显著优于教育数据挖掘的传统方法.

关键词:
这是LSTM的LSTM.预测 预测 预测在SCSU中.长期的GPA平均值.

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