Abstract
The selection of MOOC teaching resources is influenced by diversified resource positioning methods, which leads to low index efficiency of resource mining. Therefore, this paper proposes a multiresource mining method based on association rules to collect the learning behavior data of MOOC users and establish the MOOC teaching resource warehouse. Aiming at the attribute set of information association positioning, the association rules of teaching resources are designed. In addition, the association rules are combined with the shortest path scheduling scheme of teaching resources to establish the location and mining of diversified MOOC teaching-associated resources. Finally, the clustering method is used to process the results of teaching resource mining and complete the clustering of diversified teaching resources. Experimental results show that the index time required by the proposed mining method is 0.1 s, which is only 1/6 of other resource mining methods.
Highlights
Driven by the internet, MOOC emerges as a large-scale open online teaching model
Based on the teaching background of MOOC and combined with the actual teaching needs of higher vocational English, this paper focuses on exploring the diversified mining methods of English MOOC teaching resources to realize the development and management of teaching resources [6]
The teaching resources obtained by the resource mining method designed in this paper are far superior to other methods, which proves the effectiveness of the design method in this paper
Summary
MOOC emerges as a large-scale open online teaching model. The use of the internet and modern communication technology to collect useful teaching resources from all over the world, with the help of the internet for real-time dissemination, ensures that every learner can access resources and learn effectively anytime and anywhere [1]. As education evolves with the times, MOOCs have emerged as a new teaching tool. There are no time or place restrictions for MOOC learning, and the method of instruction is adaptable, making it ideal for pre- and postassessment preparation [2]. Knowledge points are arranged and instructional activities are carried out. A vast number of teaching materials are needed for Chinese students to learn English in MOOCs since English is a foreign language [4]. There are a lot of different sorts of instructional materials that have to be managed, and they are all time-consuming and complicated [5], including media material database, question database, case database, curriculum database, resource index database, and network course database, which urgently need to achieve scientific information management. Based on the teaching background of MOOC and combined with the actual teaching needs of higher vocational English, this paper focuses on exploring the diversified mining methods of English MOOC teaching resources to realize the development and management of teaching resources [6]
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