基于人工免疫系统的异常学习行为检测方法

Yang He, Tang Hongliang
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引用次数: 1

摘要

随着信息技术在教育中的发展,教学不再是面对面的。及时发现异常学习行为对调整教学策略具有重要意义。由于学习行为的个体差异,很难用统一的标准来衡量。人工免疫系统是受Biosystem启发的异常检测模型,是目前常用的异常检测模型。学习行为的变化被视为危险信号,人工免疫系统融合危险信号,对异常的学习行为发出警报。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Method to Detect Abnormal Learning Behavior Inspired by Artificial Immune Systems
With the development of information technology in education, teaching is no longer face to face. Detecting abnormal learning behavior in time is valuable for the adjustment of teaching strategies. Because of the individual differences in learning behavior, it is difficult to measure with a unified standard. Artificial Immune Systems are abnormal detecting models which are inspired by Biosystem, it is normally used abnormal detection. The changes of learning behavior are taken as danger signals, Artificial Immune Systems fusing danger signals and presenting alarms for abnormal learning behaviors.
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