Aim: This paper aims to enhance the emphasis of college physical education (P.E.) in the psychological education of P.E. students and provide a reference for the innovation of P.E. teaching methods. Methodology and procedures: On the basis of the Internet of Things (IoT) and a deep-learning algorithm, combined with psychological education, the teaching effect and the influence on learning philosophy are comprehensively evaluated through the construction of teaching evaluation index system for college P.E. students. Results: The theoretical courses of P.E. students in colleges and universities lack the integration of psychological-education concepts. It is found that the new teaching mode not only has a significant effect on improvement of training courses, but also promotes learning enthusiasm and theoretical courses. In the aspect of psychological quality evaluation, emotional-control ability significantly improved, the average score increased from below 60 to above 79, and self-challenge ability and adaptability to adversity also effectively improved. In the evaluation of deep-learning ability, students’ critical thinking ability improved most obviously, and their complex problem-solving ability also improved to some extent. Conclusions: Based on the IoT and machine learning, college P.E. teaching mode can effectively improve students’ psychological quality and ability, effectively improve students’ training and theoretical achievements, and significantly improve their academic achievements. It can also improve students’ self-learning ability. Practical applications: This paper reforms the traditional P.E. teaching mode, effectively demonstrates the hypothesis through practical teaching, designs the teaching evaluation index system of college P.E. students, and improves their learning ability and comprehensive achievements.

The purpose of this study was to explore the role of the attentional alerting network in spatial perceptual processing in youth athletes under different emotional states. Two hundred and fifty participants were recruited to assess alerting efficiency using the Attention Network Test and were divided into high and low alerting efficiency groups based on the front and back 27% of the alerting scores as a dividing metric. Subsequently, participants completed the Spatial Perception Response Task under different emotionally induced conditions. Results showed a correlation between alerting efficiency and spatial perception, the higher the alerting efficiency, the faster and more accurate the spatial perception response. Emotion and spatial location interacted significantly (p < 0.05), and subjects in the angry emotional state had faster spatial responses to the lower left visual field than those in the happy emotional state. Moreover, an interaction was found for location accuracy (p < 0.05). The high alerting efficiency group showed lower accuracy in the anger state than in the happy state. These findings suggest that alerting efficiency can be used as an objective indicator for assessing the spatial perceptual ability of youth athletes, which provides empirical evidence for mental selection and perceptual training of youth athletes.