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A Combinatorial Optimization Framework for Scoring Students in University Admissions.

Evaluation review
BACKGROUND AND OBJECTIVES: Selecting applications for college admission is critical for university operation and development. This paper leverages machine learning techniques to support enrollment management teams through data-informed decision-makin...

An Optimized Decision Method for Smart Teaching Effect Based on Cloud Computing and Deep Learning.

Computational intelligence and neuroscience
In order to improve the effect of intelligent teaching and give full play to the role of intelligent technology in modern physical education, in this paper, cloud computing and deep learning methods are used to comprehensively evaluate the teaching e...

The Impact of Wireless Network Mobile Devices on College Students' Labour Concept Education in Artificial Intelligence Environment.

Computational intelligence and neuroscience
To cultivate correct labour values and good labour quality of college students and effectively promote the development of their labour concept education, this work explores the impact of wireless network mobile devices on college students' labour con...

Perceptions and Profiles of Young People Regarding Spa Tourism: A Comparative Study of Students from Granada and Aachen Universities.

International journal of environmental research and public health
Spa tourism has undergone important changes in recent decades, actively embracing wellness and wellbeing. However, this transition is taking place in different ways in Europe, and this has led to varying perceptions of thermalism that have little to ...

AI-Based Publicity Strategies for Medical Colleges: A Case Study of Healthcare Analysis.

Frontiers in public health
The health status and cognition of undergraduates, especially the scientific concept of healthcare, are particularly important for the overall development of society and themselves. The survey shows that there is a significant lack of knowledge about...

Construction of a Hybrid Teaching Model System Based on Promoting Deep Learning.

Computational intelligence and neuroscience
The rapid development of computer network technology in today's society has also brought new opportunities for the transformation of the teaching management mode of colleges and universities. Nowadays, most colleges and universities are gradually imp...

Optimization of College English Classroom Teaching Efficiency by Deep Learning SDD Algorithm.

Computational intelligence and neuroscience
In order to improve the teaching efficiency of English teachers in classroom teaching, the target detection algorithm in deep learning and the monitoring information from teachers are used, the target detection algorithm of deep learning Single Shot ...

Research on Teaching Practice of Blended Higher Education Based on Deep Learning Route.

Computational intelligence and neuroscience
This paper establishes a hybrid education teaching practice quality evaluation system in colleges and constructs a hybrid teaching quality evaluation model based on a deep belief network. Karl Pearson correlation coefficient and root mean square erro...

Through the Looking Glass: Insights Into Visualization Pedagogy Through Sentiment Analysis of Peer Review Text.

IEEE computer graphics and applications
Peer review is a widely utilized feedback mechanism for engaging students. As a pedagogical method, it has been shown to improve educational outcomes, but we have found limited empirical measurement of peer review in visualization courses. In additio...

Prevalence and predicting factors of perceived stress among Bangladeshi university students using machine learning algorithms.

Journal of health, population, and nutrition
BACKGROUND: Stress-related mental health problems are one of the most common causes of the burden in university students worldwide. Many studies have been conducted to predict the prevalence of stress among university students, however most of these ...