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Computational Thinking Training and Deep Learning Evaluation Model Construction Based on Scratch Modular Programming Course.

Computational intelligence and neuroscience
To improve the algorithmic dimension, critical thinking, and problem-solving ability of computational thinking (CT) in students' programming courses, first, a programming teaching model is constructed based on the scratch modular programming course. ...

Korean dental hygiene students' perceptions and attitudes toward artificial intelligence: An online survey.

Journal of dental education
OBJECTIVES: This study investigated Korean dental hygiene students' perceptions and attitudes toward artificial intelligence (AI) and aimed to identify needs for education to strengthen professional competencies.

An Intelligent Mental Health Identification Method for College Students: A Mixed-Method Study.

International journal of environmental research and public health
PURPOSE: Mental health assessments that combine patients' facial expressions and behaviors have been proven effective, but screening large-scale student populations for mental health problems is time-consuming and labor-intensive. This study aims to ...

Exploration of Variables Predicting Sense of School Belonging Using the Machine Learning Method-Group Mnet.

Psychological reports
The purpose of this study was to explore variables related to school belonging from a holistic perspective, including a large number of variables in one model, different to the traditional analytical method. Using 2015 data from the Program for Inter...

Artificial intelligence and clinical anatomical education: Promises and perils.

Anatomical sciences education
Anatomy educators are often at the forefront of adopting innovative and advanced technologies for teaching, such as artificial intelligence (AI). While AI offers potential new opportunities for anatomical education, hard lessons learned from the depl...

Investigation on Deep Learning Model of College English Based on Multimodal Learning Method.

Computational intelligence and neuroscience
Deep learning refers to active learning that allows students to perceive, experience, understand, and apply knowledge. Deep learning focuses on the mastery of knowledge and skills and more on the cultivation of higher-order thinking skills such as aw...

Higher Education Environment Monitoring and Quality Assessment Model Using Big Data Analysis and Deep Learning.

Journal of environmental and public health
A university exists to help students develop their skills. The goal of university development is to raise the standard of personnel training, and the core component of university development is teaching quality. Whether the level of practical trainin...

Computer assisted identification of stress, anxiety, depression (SAD) in students: A state-of-the-art review.

Medical engineering & physics
Stress, depression, and anxiety are a person's physiological states that emerge from various body features such as speech, body language, eye contact, facial expression, etc. Physiological emotion is a part of human life and is associated with psycho...

Research on Application of Ecological Sports Innovation in Efficient Development Based on DCN Deep Learning.

Computational intelligence and neuroscience
With the continuous improvement of social and economic level, the relationship between human and nature is deteriorating. The ecological concept has been attached importance, so the concept of ecological sports has been born. For physical education, ...

A Deep Learning-Based TE Method for MSs' Mental Health Analysis.

Journal of environmental and public health
Teaching evaluation (TE) is of great significance in education and can judge the value and appropriateness of the curriculum, which is a distinguished part of the educational work. Compared with other courses focusing on imparting knowledge, mental h...