The hyper-parameter settings used in this study.

<div><p>Knowledge tracing can reveal students’ level of knowledge in relation to their learning performance. Recently, plenty of machine learning algorithms have been proposed to exploit to implement knowledge tracing and have achieved promising outcomes. However, most of the previous ap...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Ailian Gao (20629841) (author)
مؤلفون آخرون:	Zenglei Liu (20629838) (author)
منشور في:	2025
الموضوعات:	Cancer Science Policy Biological Sciences not elsewhere classified students &# 8217 integrate temporal information conducted comparison experiments bidirectional lstm model series forecasting pipeline machine learning algorithms proposed lstkt model proposed informer model publicly available dataset individual knowledge states informer </ p achieved promising outcomes short sequence prediction probability sparse self implement knowledge tracing long sequence time sparse self series prediction knowledge tracing sequence time tracing studies time stamps time stamp ednet dataset assistments2017 dataset assistments2009 dataset current knowledge target exercises previous approaches learning performance extensively utilized existing models exercising recordings decoder architecture canonical encoder attention module attention mechanism answering records 82 %. 81 %.
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The hyper-parameter settings used in this study.

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