基于群体智能的课程智能脑模型

Yunyan Liao, Qing Huang, Changjing Wang, Z. Zuo, J. Lu
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引用次数: 0

摘要

人工智能在教育领域的发展促进了教学方法向智能化、个性化方向的改革。本文以编程课程为例,提出了一种基于知识图谱的开源群体智能课程智能脑模型,并引入自举框架,试图使智能脑像人一样沿前沿轨迹,垂直学习多门课程。研究了开源软件资源的子图融合知识和领域语义,以及潜在关系的挖掘方法,使智能大脑能够像人一样消化知识,横向完成过程。最后,基于知识图的知识发现和自然表示,使智能大脑能够像人类一样发现知识和解决问题。本研究为基于大数据的知识图谱构建和异构知识图谱集成提供了新的思路、策略和应用路径。
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Course Intelligent Brain Model Based on Crowd Intelligence
The development of artificial intelligence in education promotes the reform of teaching methods in the direction of intelligence and individuation. In this paper, the programming course is taken as an example to propose a curriculum intelligent brain model for open source swarm intelligence based on knowledge graph, and the bootstrapping framework is introduced to try to make the intelligent brain track the frontier like human beings and study several courses vertically. It studies the knowledge of subgraphs fusion of open-source software resources and domain semantics as well as the mining method of potential relationship, so that the intelligent brain can digest knowledge like human, and get through the course horizontally. Finally, knowledge discovery and natural representation based on knowledge graph enable intelligent brain to discover knowledge and solve problems just like human. This study provides new ideas, strategies, and application paths for the construction of knowledge graph based on big data and the integration of heterogeneous knowledge graph.
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Wuhan University Journal of Natural Sciences
Wuhan University Journal of Natural Sciences Multidisciplinary-Multidisciplinary
CiteScore
0.40
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0.00%
发文量
2485
期刊介绍: Wuhan University Journal of Natural Sciences aims to promote rapid communication and exchange between the World and Wuhan University, as well as other Chinese universities and academic institutions. It mainly reflects the latest advances being made in many disciplines of scientific research in Chinese universities and academic institutions. The journal also publishes papers presented at conferences in China and abroad. The multi-disciplinary nature of Wuhan University Journal of Natural Sciences is apparent in the wide range of articles from leading Chinese scholars. This journal also aims to introduce Chinese academic achievements to the world community, by demonstrating the significance of Chinese scientific investigations.
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