Calaguas Noriel P, Consunji Paolo Maria P
Assistant Professor, School of Nursing and Allied Medical Sciences, Holy Angel University, 2009 Angeles City, Philippines.
Senior Technical Trainer (Worldwide IT Systems), International Data Corporation, 140 Kendrick Street, Building B, MA 02494 Needham, USA.
Educ Inf Technol (Dordr). 2022;27(5):6233-6249. doi: 10.1007/s10639-021-10871-y. Epub 2022 Jan 5.
We aimed to model the direct effects of the theorized relationships of academic self-efficacy, computer use self-efficacy, learning management system self-efficacy, internet and information-seeking self-efficacy, and online learning self-efficacy using structural equation modeling. The study proves that academic self-efficacy has positive predictive relationships with computer use self-efficacy, learning management system self-efficacy and internet and information self-efficacy. Secondly, modeling revealed that computer use self-efficacy, learning management system self-efficacy and internet and information self-efficacy positively predicts online learning self-efficacy. This study provides empirical evidence on a previously theorized set of relationships and informs policy makers on significant relationships they can employ to inform program development aimed at improving online learning self-efficacy anchored on their particular use cases.
我们旨在使用结构方程模型来模拟学术自我效能感、计算机使用自我效能感、学习管理系统自我效能感、互联网与信息搜索自我效能感以及在线学习自我效能感之间理论关系的直接影响。该研究证明，学术自我效能感与计算机使用自我效能感、学习管理系统自我效能感以及互联网与信息自我效能感之间存在积极的预测关系。其次，模型显示，计算机使用自我效能感、学习管理系统自我效能感以及互联网与信息自我效能感能够正向预测在线学习自我效能感。本研究为先前理论化的一组关系提供了实证证据，并为政策制定者提供了重要关系信息，使他们能够利用这些关系为旨在基于特定用例提高在线学习自我效能感的项目开发提供参考。
