现代电子技术2025,Vol.48Issue(9):104-108,5.DOI:10.16652/j.issn.1004-373x.2025.09.016
面向学习者个性化学习特征的知识追踪
Knowledge tracing for personalized learning features of learners
摘要
Abstract
Since the existing knowledge tracing models are incapable to adequately model personalized learning characteristics of learners,a knowledge tracing model oriented towards personalized learning characteristics is proposed.Initially,a multi-dimensional question representation system is constructed based on learners'interaction records.Following this,a personalized modeling of learning benefits is achieved by analyzing learners'personalized characteristics and their knowledge gaps.Additionally,a forgetting gate is designed to dynamically adjust the degree of forgetting of knowledge because of the knowledge forgetting during the process of learning.Finally,the learners'knowledge states are updated by integrating learning benefits and knowledge forgetting,and this state is used to predict learners'future performance in answering questions.Experimental results on two public online educational datasets,named ASSISTments2012 and ASSISTments2017,show that the proposed model achieves better predictive performance and can model learners'knowledge states more effectively in comparison with the existing mainstream models.关键词
个性化学习/知识追踪/学习收益/学习遗忘/学习特征/教育数据挖掘Key words
personalized learning/knowledge tracing/learning benefit/learning forgetting/learning feature/educational data mining分类
电子信息工程引用本文复制引用
桂妍,秦学..面向学习者个性化学习特征的知识追踪[J].现代电子技术,2025,48(9):104-108,5.基金项目
贵州省第二批省级金课《大数据原理与技术》线上线下混合式课程(2024JKHH0033)建设成果 (2024JKHH0033)