Informatization Construction of College English Learning Platform Based on Particle Swarm Optimization Algorithm
Abstract
The application of information technology in the education industry is more and more extensive, so that students can achieve remote autonomous learning. Internet-based English teaching platforms are diverse, providing knowledge learning, online testing and other functions. But from the current situation, there are some problems, such as the lack of strong pertinence and self-adaptability, the lack of test selection strategy, and the lack of analytical ability. In view of the problem that the English learning platform does not have the ability to record user history learning information, every learning situation of students is recorded into the database, and the current learning situation of students is analyzed based on particle swarm optimization algorithm, and specific learning suggestions are given, so as to improve the efficiency of students’ autonomous learning.References
[1] Abualigah L M , Khader A T . Unsupervised text feature selection technique based on hybrid particle swarm optimization algorithm with genetic operators for the text clustering[J]. The Journal of Supercomputing, 2017, 73(11):1-23.
[2] Bonyadi M R , Michalewicz Z . Impacts of coefficients on movement patterns in the particle swarm optimization algorithm[J]. IEEE Transactions on Evolutionary Computation, 2017, 21(3):378-390.
[3] Abdeyazdan M . A new method for the informed discovery of resources in the grid system using particle swarm optimization algorithm (RDT_PSO)[J]. The Journal of Supercomputing, 2017, 73(12):1-24.
[4] Mousavian S H , Koofigar H R . Identification-Based Robust Motion Control of an AUV: Optimized by Particle Swarm Optimization Algorithm[J]. Journal of Intelligent & Robotic Systems, 2017, 85(2):331-352.
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