Predicting Chinese Secondary School Students’ Behavioral Intention to Use an Online Homework System

Abstract

As a homework delivery format, online homework emerges in accordance with the development of technology to support student learning. Informed studies have demonstrated the impact of online homework on student performance, but the incorporation of online homework into student learning is still challenging, particularly in China. In order to better promote online homework, eight predictors are selected to investigate secondary school students’ behavioral intention to use an online homework system based on the extended UTAUT model. Via the proportional stratified random sampling method, a minimum of 339 samples will be selected. Then, a correlational research design will be employed to address the research questions herein. Descriptive and inferential statistical analyses such as Pearson product-moment correlation and multiple linear regression (MLR) will be used for analysis. Lastly, an interpretative qualitative approach via interview will be applied to understand the factors affecting students’ behavioral intention to use an online homework system as well.