In order to realize students’ in-depth understanding of music teaching content, it is necessary to reasonably allocate teaching materials according to the teaching content. Therefore, this paper puts forward the application of the concept of the Iot network and deep learning in music teaching. After the teaching resources are vectorized, the distinguishing local registration method of the DLA model is used to extract their features. Based on the dimension of the teaching content, the features of the teaching content are output in the DLA model, the music teaching resources are allocated according to the minimum matching error criterion, the hyperbolic tangent function is taken as the activation function, and the feature error is filtered by maximum aggregation. The experimental results show that the design method can, according to the music teaching content, have more than 80% accuracy in the shallow distribution and deep distribution of teaching materials, and play a positive role in promoting students’ in-depth learning.
With the development of computer, information technology has penetrated into every field of life. Computer basic courses are common opened in colleges and universities, which has quietly changed the way of teacher's teaching and student's study. In information age, mass learning and personality education have become a general consensus. Under the challenge of education informatization, computer courses teaching will gradually change to keep up with The Times development. Information age provides opportunities for education reform which is beneficial to promote computer teaching and improve the teaching effect.
This paper's objective is to study the influence of music therapy and information technology on bad feelings and cognition of high blood pressure patients. The method adopted is to make a retrospective analysis of 100 cases medical records of patients with high blood pressure admitted in a hospital. Apply routine nursing care to control group patients with high blood pressure, while apply music therapy and information technology to observation group of patients with high blood pressure. Compare bad emotions and cognitive ability of the patients with high blood pressure in two groups. The results are (1) patients' anxiety and depression score in observation group, compared to those of control group, are significantly lower. P < 0.05, which means it has statistical significance; (2) patients' mild cognitive impairment in observation group gradually increases from 20% before treatment to 60%. Patients' mild cognitive impairment in control group rises from 20% before treatment to 32%. The cognitive situation improvement of high blood pressure patients in observation group, compared to that of control group, is significantly better. P < 0.05. It means that there is statistical significance. (3) from the blood pressure assess result comparison of two groups' patients with high blood pressure before treatment, P > 0.05. There is no statistical significance. After treatment, blood pressure assess result comparison shows that observer group is better. P < 0.05. It means that there is statistical significance. It is safe to conclude that the application of music therapy and information technology in patients with high blood pressure can not only effectively relieve patients' bad feelings, but also improve the patient's cognitive ability. Therefore it has certain application value and is worthy of clinical popularization and application.
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