Adoption of Human Personality Development Theory Combined With Deep Neural Network in Entrepreneurship Education of College Students.

Zhen Chen,Xiaoxuan Yu

doi:10.3389/fpsyg.2020.01346

Abstract

In this research, the probability matrix factorization (PMF) algorithm was introduced to optimize the deep neural network algorithm model with the purpose of studying the application value of personality development theory and deep learning neural network in college students’ entrepreneurship psychological education courses. Based on the personality development theory, a recommendation algorithm system for entrepreneurial projects under optimized deep neural network was established. A total of 518 college students from several universities were divided into an experimental group and a control group, with 259 students in each group. In addition to the normal courses of entrepreneurship psychology education, students in the experimental group were taught the entrepreneurship project recommendation system based on the optimized deep neural network designed in this research, while students in the control group were taught entrepreneurship psychology education normally. The intervention effect before and after entrepreneurship education was evaluated by the questionnaire of college students’ entrepreneurial intention and college students’ entrepreneurial mental resilience scale. The results demonstrate that the system recall rate and accuracy based on the algorithm in this research have been significantly higher than that of PMF algorithm and deep belief network (DBN) algorithm, and the difference is statistically significant (p < 0.05); the mean square error (MSE) of the proposed algorithm is significantly smaller than that of PMF algorithm and DBN algorithm, and the difference is statistically significant (p < 0.05); the improvement of entrepreneurial toughness, entrepreneurial strength, optimism, entrepreneurial possibility, and behavioral tendency of the experimental group after the test was significantly higher than that of the control group (p < 0.05). Therefore, compared with traditional algorithms, the proposed method for entrepreneurial projects based on the theory of personality development and the optimized deep neural network shows better performance, and it can effectively improve the entrepreneurial intention and psychological resilience of college students.

Highlights

With the development of the socialist market economy, college students are under greater pressure with regards to employment
In addition to the normal courses of entrepreneurial psychology education, students in the experimental group were helped to make clear their choice of entrepreneurship by applying the recommendation system of entrepreneurial projects based on the optimized deep neural network designed in this research, while students in the control group were given normal courses of entrepreneurial psychology education (Obschonka et al, 2018)
There is no public data set that can be used for entrepreneurship projects recommendation, so the Python crawler is adopted to crawl data from the entrepreneurship website platform to obtain the behavioral data of users, the content characteristic information of entrepreneurial projects, the content characteristic information of users, etc., and the standardized processing was carried out for the following tests

Summary

Introduction

With the development of the socialist market economy, college students are under greater pressure with regards to employment. Many college students have not truly entered society and developed inadequate entrepreneurial psychological qualities, thereby leading to the failure of college students’ entrepreneurship and low success rate (Kim et al, 2020; Manjusha and Green, 2020; Younis and Katsioloudes, 2020). In recent years, various colleges and universities actively carry out entrepreneurship education courses, so as to enhance the entrepreneurial awareness and ability of college students, improve their entrepreneurial psychology, and establish the entrepreneurial spirit of self-improvement (Boysen et al, 2020). The courses and research cannot be well correlated with entrepreneurial practice, and pure theoretical nature does not effectively help entrepreneurial college students (Bazan et al, 2020; Karunia et al, 2020). It becomes crucial to create a good entrepreneurial psychological education environment, to implement college students’ entrepreneurial psychological education, and to really help entrepreneurial college students (Wu et al, 2019a)

Methods

Results

Conclusion