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  • [1907. 06837] A Self-Attentive model for Knowledge Tracing
    For identifying the relevance between the KCs, we propose a self-attention based approach, Self Attentive Knowledge Tracing (SAKT) Extensive experimentation on a variety of real-world dataset shows that our model outperforms the state-of-the-art models for knowledge tracing, improving AUC by 4 43% on average
  • A Self-Attentive model for Knowledge Tracing
    In this work, we proposed a self-attention based knowledge tracing model, SAKT It models a student's interaction his-tory (without using any RNN) and predicts his performance on the next exercise by considering the relevant exercises from his past interactions
  • A Self-Attentive model for Knowledge Tracing - arXiv. org
    In this work, we proposed a self-attention based knowledge tracing model, SAKT It models a student's interaction his-tory (without using any RNN) and predicts his performance on the next exercise by considering the relevant exercises from his past interactions
  • A Self-Attentive model for Knowledge Tracing - 百度学术
    For identifying the relevance between the KCs, we propose a self-attention based approach, Self Attentive Knowledge Tracing (SAKT) Extensive experimentation on a variety of real-world dataset shows that our model outperforms the state-of-the-art models for knowledge tracing, improving AUC by 4 43% on average 展开 关键词：
  • A Self-Attentive model for Knowledge Tracing - 知乎
    论文标题： A Self-Attentive model for Knowledge Tracing 本文提出了一种基于自注意力机制的知识追踪模型 Self Attentive Knowledge Tracing (SAKT)。 其本质是用 Transformer 的 encoder 部分来做序列任务。
  • (PDF) A Self Attentive model for Knowledge Tracing - Academia. edu
    SAKT improves knowledge tracing performance by 4 43% on average AUC across several datasets The model leverages self-attention to enhance prediction accuracy on sparse datasets SAKT processes student interactions without RNNs, significantly reducing computational time
  • ACKT : Self-Attentive Convolutional Model for Knowledge Tracing
    To this end, we propose a novel self Attentive Convolutional Knowledge Tracing (ACKT) method for analyzing continuous learning interactions of students
  • A Self-Attentive model for Knowledge Tracing论文笔记和代码解析
    本文提出了一种基于自注意力机制的知识追踪模型 Self Attentive Knowledge Tracing (SAKT)。 其本质是用 Transformer 的 encoder 部分来做序列任务。 具体从学生过去的活动中识别出与给定的KC相关的KC，并根据所选KC相对较少的KC预测他 她的掌握情况。
  • A-Self-Attentive model for Knowledge Tracing 论文复现 - CSDN博客
    本文提出了一种基于自注意力机制的知识追踪模型 Self Attentive Knowledge Tracing (SAKT)。 其本质是用 Transformer 的 encoder 部分来做序列任务。 利用注意力机制，考虑当前要预测的问题与以往所回答问题的相关性 ，根据这一点将对相关经验进行加权和然后在预测。 链接: PDF
  • A Self-Attentive model for Knowledge Tracing - NASA ADS
    For identifying the relevance between the KCs, we propose a self-attention based approach, Self Attentive Knowledge Tracing (SAKT) Extensive experimentation on a variety of real-world dataset shows that our model outperforms the state-of-the-art models for knowledge tracing, improving AUC by 4 43% on average





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