A method for sharing online assisted teaching resources based on mobile social networks Online publication date: Fri, 31-May-2024
by Weiwen Feng; YuTong Sun
International Journal of Computer Applications in Technology (IJCAT), Vol. 73, No. 4, 2023
Abstract: In order to solve the problems of high latency and average routing hops in existing teaching resource sharing methods, a new online assisted teaching resource sharing method based on mobile social networks is proposed. Firstly, combining temporal similarity with regional similarity, calculate the total similarity between learners. Secondly, for mobile social networks, the Similarity Louvain algorithm is used to construct communities based on the total similarity between learning. Finally, for learners in the community, sharing online auxiliary teaching resources through a direct meeting mechanism, use improved ant colony algorithm to select the best advanced service provider and share online auxiliary teaching resources. Experimental results show that under different signal-to-noise ratios, the average number of route hops for resource sharing in our method is relatively low, with the highest average number of route hops around 3, and the sharing delay is effectively reduced.
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