1. Learning Path Planning Algorithm Based on Career Goals and Artificial Intelligence.
- Author
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Zhiwei Shi, Zhifeng Wu, Zhe Zhang, Yutong Chen, and Xuemeng Liu
- Subjects
ARTIFICIAL intelligence ,ONLINE education ,APRIORI algorithm ,ONLINE algorithms ,ALGORITHMS ,INTELLIGENT tutoring systems - Abstract
With the development of the Internet, various forms of learning resources continue to flood the public, especially the promotion of video learning platforms. More and more people use their spare time to learn what they need. However, there is a general lack of intelligence in online learning platforms at present, which greatly reduced the utilization of online learning platforms and their educational advantages. The innovation of this paper is proposing and explaining that with the integration of big data, online education and artificial intelligence, the contradiction of online education has turned into one between the lack of intelligence in online education and the demand of users. To solve this contradiction, this paper researches from the perspective of an algorithm. Course recommendation is the core algorithm of online education. However, the current recommendation algorithm based on collaborative filtering has the disadvantages of cold start and useless recommendation content. In this paper, Apriori and ACO algorithms in artificial intelligence are studied, and the proposal of an algorithmic framework named Position-Apriori-ACO brings forth new ideas in solving online education problems. The Position-Apriori-ACO algorithm can effectively carry out course recommendation and learning path planning, and also provides a research direction for the intelligent development of online education. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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