个性化学习
计算机科学
路径(计算)
人工智能
主动学习(机器学习)
序列学习
路径分析(统计学)
同步学习
体验式学习
主动学习
教育技术
学习风格
重复(修辞手法)
机器学习
关系(数据库)
合作学习
机器人学习
开放式学习
数学教育
教学方法
心理学
数据挖掘
语言学
机器人
哲学
移动机器人
程序设计语言
作者
Lijun Meng,Wanxue Zhang,Yu Chu,Mingxin Zhang
出处
期刊:IEEE Transactions on Learning Technologies
[Institute of Electrical and Electronics Engineers]
日期:2021-02-01
卷期号:14 (1): 122-128
被引量:23
标识
DOI:10.1109/tlt.2021.3058525
摘要
With the rapid advancement of education, personalized learning has gained considerable attention in recent years. Learning path plays an important role in this area and has attracted great concern. Many generating mechanisms have been proposed from different perspectives for assisting learning. Some methods focus on learners' interest, while some methods pay close attention to learning styles. This article proposes a new learning path generating method named learning diagnosis-learning path (LD-LP), which is based on knowledge structure and learning diagnosis. Different from the previous work, it takes knowledge relation, learner's ability, learning time, and repetition into account. The difficulty of knowledge provided to students will be adjusted according to students' academic achievement and learning time adaptively. The system generates personalized learning path by the sequence of learning knowledge. Students who were majoring in mathematics were invited to participate in the experiment. Experimental result demonstrates that LD-LP works effectively and it has high adaptivity and positive feedback.
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