Analysis of Technology Consumption Behavior and Influence among University Students in the “Digital Intelligence” Era

在数字技术与智能化浪潮的深度融合下，人类社会正经历着前所未有的变革。以大数据、人工智能、云计算、物联网为代表的技术集群，不仅重构了产业形态与社会运行方式，更深层次地渗透到个体生活的微观场景中。作为“数字原住民”的高校学生群体，其技术消费行为呈现出高度的时代敏感性：他们既是数智技术的前沿体验者，也是技术消费市场的核心驱动力之一。基于这个大背景，本次调查研究通过设计问卷调查了解技术消费对高校学生的影响和高校学生进行技术消费时的行为。问卷涵盖了群体属性、技术消费偏好、影响因素等多个方面，将问卷收集到的数据通过描述性统计、方差分析法、因子分析法和建立多元线性回归模型方法进行综合分析，并给出结论和对高校学生、企业、高校的建议。Under the deep integration of digital technology and the wave of intelligentization, human society is undergoing unprecedented transformation. Technology clusters represented by big data, artificial intelligence, cloud computing, and the Internet of Things (IoT) are not only reshaping industrial structures and social operations but also deeply penetrating the micro-level scenarios of individual lives. As “digital natives,” university students exhibit a high degree of temporal sensitivity in their technology consumption behavior: they are both early adopters of digital-intelligent technologies and one of the core driving forces in the technology consumption market. Against this backdrop, this study investigates the impact of technology consumption on university students and their consumption behavior through a designed questionnaire survey. The questionnaire covers multiple dimensions, including demographic attributes, technology consumption preferences, and influencing factors. The collected data is comprehensively analyzed using descriptive statistics, analysis of variance, factor analysis, and the construction of a multiple linear regression model. Based on the findings, the study provides conclusions and recommendations for university students, enterprises, and higher education institutions.