AN ANALYSIS OF PISA DATA TO EXPLORE THE RELATIONSHIP BETWEEN STUDENTS’ COMPUTER USE, ATTITUDES TOWARD SCHOOL AND READING ENJOYMENT TIME

Abstract

The COVID-19 pandemic has caused unprecedented damages by putting lives into a complete shutdown endangering the entire education system. With the swift shift to online learning, students have to face numerous types of struggles causing a lot of stress due to the unknowns of distance learning. Unfortunately, although this transition was supposed to end in 2020, it was inevitably prolonged and it looks like online teaching and learning will be an inevitable part of education. In addition to that, as use of technology continues its rapid growth among students, both within and outside of the educational context, its effect on students’ performance and attitudes becomes an increasingly important question to address. If computers move from being supplements to being the core of the learning environment and students’ daily life, this may constraint opportunities for social and intellectual development interfering with the learning process. This study will try to understand if computer and Internet use are correlated with students’ reading habits and attitudes toward school. For testing that hypnotized model, the technique of SEM (Structural Equation Modeling) is used. The path model indicating the relationship between students’ computer use and their reading habits and attitudes toward school is tested. According to the path model analysis, computer and Internet use in school are positively related with Internet use at home that seems to have a negative relationship with reading enjoyment time.