Analysis of College Students’ Consumption Behavior Characteristics Based on ADDIE Model under the Background of Ideological and Political Education

Author:

He Zihao1

Affiliation:

1. Researcher, School of Marxism , Zhengzhou University of Industrial Technology , Zhengzhou , Henan , , China .

Abstract

Abstract This paper provides an in-depth study of the consumption characteristics of college students, which is not only related to the high-quality development of the economy, but also vital to students’ physical and mental health. The study uses the ADDIE teaching model, combined with the Apriori association algorithm and the K-means++ algorithm to analyze the intrinsic correlation of college students’ consumption behaviors. While applying the traditional association rule’s confidence and enhancement calculation methods, the study adopts a horizontal weighting method with downward closure nature to obtain the weights of the maximum weighted items in the item set. In addition, based on the distance between the initial clustering center and the sample point, the probability of the sample point becoming the next clustering center is calculated to enhance the clustering effect. After the model is built, the performance test is conducted firstly. Then the ADDIE-based model for teaching Civics in colleges and universities is designed and analyzed using the model of this study. It is found that after the occurrence of follower consumption behavior (C), there is a 100% probability of shifting to differentiated consumption (E). There is a 94.7% likelihood that personalized consumption will occur after the follower consumption behavior (C). There is an 85.67% likelihood of excellence for those students who spend low amounts of money, less frequently, and more off-campus. The survey revealed that 11.57% of the student population falls under this consumption profile. These findings have important implications for understanding the consumption behavior of college students and its impact on education and the economy.

Publisher

Walter de Gruyter GmbH

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3