师范生数字公民素养水平的预测因子研究

A Research on Predictors of Digital Citizenship Literacy of Normal University Students

以1039名师范生作为研究样本,利用建立的预测模型对其数字公民素养水平的预测因子进行了调查研究。预测结果显示:师范生的数字公民素养水平与其个人背景情况、网络自我效能感以及整合网络的技术性知识之间存在显著相关关系;师范生所具有的网络自我效能水平以及整合网络的技术性知识水平是其数字公民素养水平的有效预测因子。预测结果为有效提升师范生数字公民素养水平提供了数据支持。

In this study,1,039 normal university students were selected as the research sample,and the predictors of their digital citizenship literacy level were investigated by using the established prediction model.The results show that there is a significant correlation between the digital citizenship literacy level of normal university students and their personal background,network self-efficacy and technical knowledge of integrating the network.The network self-efficacy level and the technical knowledge level of integrating the network of normal university students are effective predictors of their digital citizenship literacy level.The prediction results provide data support for effectively improving the digital citizenship literacy level of normal university students.