基于知识地图的自我导向学习设计与实证研究

The Design and Empirical Research of Knowledge-Map Based Self-Directed Learning

为了解决当前网络自我导向学习中所面临的漫无计划、资源繁多、缺乏交互等问题,本文提出将知识地图与自我导向学习相结合的思路。以联通主义等学习理论为支撑,以学习过程设计为着手点,结合知识地图的特点,提出知识点或知识点间关系类型用颜色标记、资源协同共建、学习路径自动生成且自愿分享等促进自我导向学习的策略。采用实验法、问卷调查法、访谈法进行实证研究,分别从学习成绩、资源整合效果、学习者认知感受和自我导向性等方面分析基于知识地图的自我导向学习效果。结果表明,知识地图的运用及相应策略的使用对自我导向学习能起到积极的促进作用。以知识地图为依托、驱动集体智慧的学习方式,增强了学习者的学习热情与交互深度,为自我导向学习的研究提供了参考与借鉴。

Network based self-directed learning has some weaknesses, such as no learning plans,overwhelming resources, and lack of interaction. This paper suggests to combine knowledge map with self-directed learning to overcome above-mentioned weaknesses. Based on the connectivism learning theory,beginning with learning process design, and combining the characteristics of knowledge map, this paper proposes several strategies to promote self-directed learning, such as color-coding the knowledge nodes and the relationship among knowledge nodes, co-building resources, and automatically generating and voluntarily sharing learning paths. Experimental design, survey questionnaires, and interview were used in this empirical study to analyze the effect of self-directed learning that is based on knowledge map from the aspects of academic performance, resource integration effects, cognitive perception, and self-direction of learners. The results indicate that the implementation of knowledge map and the proposed strategies played a positive role in promoting self-directed learning. Learning that is based on knowledge map and drives collective wisdom enhanced the learning enthusiasm and the depth of the interaction of learners. This paper provides reference for future studies of self-directed learning.