计算机科学 ›› 2022, Vol. 49 ›› Issue (4): 269-281.doi: 10.11896/jsjkx.210500125
谭珍琼1, 姜文君1, 任演纳2, 张吉3, 任德盛4, 李晓鸿1
TAN Zhen-qiong1, JIANG Wen-Jun1, YUM Yen-na-cherry2, ZHANG Ji3, YUM Peter-tak-shing4, LI Xiao-hong1
摘要： 学习是一种复杂的事件。个体的学习效果受多方面因素的影响,且不同个体有不同的学习习惯,学生通常难以根据自身学习特点合理规划学习时间表。虽然目前有关任务管理方面的研究提出了一些具有通用性的理论管理策略,但其忽略了个体间的差异性;另外,现有研究不能提供一种计算方法来形成具体的任务管理方案。针对上述问题,文中通过数据分析找出学习效率与时间因素的关联性,从而理解学生的学习特征,量化出个性化的学习效率;使用二分图的方法构建学习任务分配场景,根据不同的学习目标设计自适应效用函数,并基于此提出了一种基于迁移学习的动态分配算法TLTA,用于为学生制定合理的任务分配方案。在真实的学生数据集上进行了大量实验,验证了所提方案的有效性及适用性。
中图分类号:
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