2022
DOI: 10.1155/2022/1328263
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Multimedia Computer-Aided Teaching Platform Based on Particle Swarm Optimization Algorithm

Abstract: This paper mainly expounds the research hotspots and trends of computer-aided teaching platforms in view of particle swarm optimization algorithm and introduces current situation of computer-aided teaching platforms. This paper analyzes the realization of the core business system of the computer help education platform. And it puts forward the optimization idea of multimedia compute help education platform in view of particle swarm optimization algorithm. The experimental results illustrate Za = 1.42 when stud… Show more

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Cited by 2 publications
(2 citation statements)
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“…Moreover, the exploration of IoT-based English translation and teaching platforms (Zhang, 2023) signifies the growing importance of technology in language education, offering innovative solutions to bridge communication barriers and facilitate language learning in diverse contexts. Similarly, the application of optimization algorithms in multimedia computer-aided teaching platforms (Li & Jiang, 2022) underscores their potential to create interactive and engaging learning experiences for students, incorporating multimedia elements to enhance comprehension and retention of English language concepts. For instance, the evaluation model proposed by Wei and Tsai (2022) integrates particle swarm algorithms with support vector machines to assess college English teaching effectiveness, showcasing how advanced computational techniques can augment traditional assessment methodologies.…”
Section: Related Workmentioning
confidence: 99%
“…Moreover, the exploration of IoT-based English translation and teaching platforms (Zhang, 2023) signifies the growing importance of technology in language education, offering innovative solutions to bridge communication barriers and facilitate language learning in diverse contexts. Similarly, the application of optimization algorithms in multimedia computer-aided teaching platforms (Li & Jiang, 2022) underscores their potential to create interactive and engaging learning experiences for students, incorporating multimedia elements to enhance comprehension and retention of English language concepts. For instance, the evaluation model proposed by Wei and Tsai (2022) integrates particle swarm algorithms with support vector machines to assess college English teaching effectiveness, showcasing how advanced computational techniques can augment traditional assessment methodologies.…”
Section: Related Workmentioning
confidence: 99%
“…Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”
mentioning
confidence: 99%