Titlebook: e-Learning, e-Education, and Online Training; 9th EAI Internationa Guan Gui,Ying Li,Yun Lin Conference proceedings 2024 ICST Institute for

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Business Strategy and Transactional Models, detection range is small, resulting in an increase in the mean difference of unit detection. Therefore, this paper proposes a design and verification study on the detection method of English students’ classroom learning status in higher vocational colleges under the improved SSD algorithm. Accordin

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https://doi.org/10.1007/978-3-030-27285-2earning is proposed. The threshold change parameter is calculated by using the obtained athletes’ posture characteristic parameters, and the golden section is introduced to transform it and smooth the features of athletes’ posture are extracted. Constraint loss is added to the local global supervisi

abduction

Marina Papanastassiou,Robert Pearceresources. The quantity of these teaching information resources is huge and diverse, and students and teachers face the problem of information overload, making it difficult to find resources that are suitable for their needs. Personalized recommendation technology has emerged to solve the problem of

Chauvinistic

Mark Casson (Professor of Economics)crease in the average difference of evaluation. Therefore, the design and research of the evaluation method of medical rehabilitation teaching quality based on historical big data decision tree classification is proposed. According to the actual measurement and analysis, set the basic teaching quali

fertilizer

The Academy of International Businessvior, providing important guarantees for improving the quality and effectiveness of college English smart classroom teaching. To this end, a method for identifying abnormal behavior in college English smart classroom teaching based on deep learning is proposed. On the basis of obtaining a large amou

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International Business and Securityresources have led to Exponential growth of data, making it difficult for students to find resources that meet their own needs. To address this issue, this study proposes a personalized recommendation method for tourism professional online education resources based on machine learning. This method c

Lobotomy

https://doi.org/10.1007/978-981-19-0481-3rces in online English teaching system based on SVM is proposed. According to learners’ demands for teaching resources, the tasks and objectives of online English teaching are determined, and the content performance characteristics of teaching resources are given through the digital integration of t