Bright Future for the Higher Education System: Evaluation and Analysis Based on the “HEPTT Model”

In national development, a system of higher education is an important element in a nation’s efforts to further educate its citizens beyond required primary and secondary education. Therefore, it is valuable to study the health of the higher education system. By analyzing the problem, the paper have found some factors that affect the national higher education system. Our team has studied the problem from five aspects: cost, quality of education, research level, policy enforcement, and access right. To measure and assess the health of a system of higher education at a national level, the paper have developed a model called the “Higher Education Pause and Temperature Test (HEPTT) Model”. By using this model, it can reflect the relevant situation of a nation’s higher education system. The paper first established a Principal Component Analysis Model to evaluate the health of the higher education system in any country and give a comprehensive score. Then, the paper used R-type Cluster Analysis Model to build the neural network. From this, the paper could evaluate the comprehensive score of the health status of any nation’s higher education system. Finally, the paper used the Perceptron Algorithm to adjust the most adaptable the paperight of each factor with the health condition the paper expected to achieve, so as to obtain the best the paperight ratio. Also, the paper used this to provide policy recommendations for a nation with room for improvement.