计算机科学 ›› 2022, Vol. 49 ›› Issue (10): 83-95.doi: 10.11896/jsjkx.211000119
陈之彧1, 单志龙1,2
CHEN Zhi-yu1, SHAN Zhi-long1,2
摘要: 教育数据挖掘是计算机科学、统计学与教育学的交叉学科,主要通过计算机科学与统计学的理论和技术处理教育研究与教学实践的问题,比如在获得最大学习增益的情况下尽可能降低学生的学习成本和教师的教育成本。迅速发展的计算机辅助教育环境和在线教育平台产生了丰富的数据,当然也带来了挑战,无法针对性地为学生提供特定需求的资源。知识追踪是智能辅导教育领域对学生进行教学资源推荐和学习路径诊断的个性化方法,随着时间的推移,对学生的知识状态进行建模,从而根据学生的历史响应序列,预测学生未来的表现。重点从具有可解释性的训练过程、具备高精度的预测结果两方面对知识追踪进行相关文献的分析,并且介绍了该领域常见的数据集、评价指标和应用。最后,对知识追踪领域的挑战进行了展望。
中图分类号:
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