The application of deep learning in college students’ sports cognition and health concept

Abstract

Researchers and scientists in practical sports psychology are involved in the sports psychology practice process. Current models of training appear unsatisfied to assist trainees in psychology to learn the necessary humanistic skills for the requirement of athlete-centered services. This article aims to include an example of the value of Deep Neural Network Assisted Reflective Approaches (DNARA) as an alternative to clinical training, which may enable practitioners to manage themselves better in action. It addresses the essence of professional understanding; To describe reflection and present common examples of a reflective method in the “education professions” during the creation of reflective practice. It discusses how reflective exercise can support a clinician’s professional and personal growth within the field of sport psychology and illustrate how reflective practice may improve. Finally, there is a discussion about appropriate platforms for the distribution of insightful content. DNARA method achieves the highest classification accuracy of 94.12%, and error rate is reduced to 0.40, and DNARA method is more efficient for student health concepts.