Classroom Behaviour of Talent Cultivation in Colleges and Universities Supported by Deep Learning Technology

Abstract

Among the current significant issues in talent cultivation is changing colleges’ unique talent cultivation strategies and regulating the spontaneous connection of the talent cultivation, industrial, and entrepreneurial chains. In other terms, the growing disparity between college and university incorporation and industry demand for talent has made the growth of creative applied skills targeted to the industry want an acute problem. That is why colleges and universities must cultivate practical talent in a way that is effective, strong, low-cost, and creative. As a result, this research uses deep learning to develop an ensemble convolutional neural network with an attention mechanism to increase the performance and reliability of talent cultivation in universities and colleges and assess the talents properly. For this research, the datasets are gathered with the primary student and classroom information. Followed by standardising the data, the normalization technique is utilised. Then, the proposed method is employed for the data analysis. ANOVA, Chi-square test, and Student’s t -test are applied for the statistical analysis. Finally, the performance of the proposed technique is examined and compared with existing methods to prove the students’ highest performance in talent cultivation.

Scales Feature Foot Scanners as Parameters of Flat Feet in Children

“…Studies about the implementation of machine learning in predicting or classifying someone's academic talent are enough to show that it is feasible to use this method to help determine a children's talent based on their hobbies and activities. Some of these studies include college students' talent classification based on classroom behavior using the convolutional neural network algorithm [4], predicting academic talent capacity using the decision tree algorithm [5], and and using a neural network to predict students' academic performance [6]. Some studies on sports talent assessment using machine learning show that machine learning is an excellent tool to predict and analyze someone's sports talent.…”

Analysis on the Integrated Development of New Energy Industry and Vocational Education

“…The development direction of future vocational education should focus on innovating the talent cultivation system, building a high-quality teaching faculty, and innovating teaching content and methods to meet the development needs of the economy and society, and promote vocational education towards a high-quality and high-level direction [9].…”

Retracted: Classroom Behaviour of Talent Cultivation in Colleges and Universities Supported by Deep Learning Technology

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”