Abstract
This study focuses on the effects of negative and non-linear aspects of ICT use and environmental factors on PISA mathematics, science, and reading performance. Data from the 2018 PISA [the OECD’s Programme for International Student Assessment] for 6,297 15-year-old students from Singapore were analyzed. The data analysis used the IDB analyzer to construct a two-step regression model and identified four distinct patterns of how ICT factors affect PISA performance. The “U” shape pattern includes perceived ICT competence which has a significant negative linear coefficient and a positive quadratic coefficient. The “∩” shape pattern includes ICT resources, use of ICT outside of school (for schoolwork activities), ICT use outside of school (leisure) and interest in ICT. This group consists of either a significant positive linear coefficient or a non-significant linear coefficient with a significant negative quadratic coefficient. The strictly negative pattern includes the use of ICT at school in general and ICT as a topic in social interaction. This group consists of only a significant negative linear coefficient. The strictly positive pattern includes perceived autonomy related to ICT use which only has a significant positive linear coefficient. Overall, the impact of ICT factors on the three subjects was similar, with minor differences. Given the complexity of how ICT factors could negatively affect performance, policymakers will need to fine-tune ICT practices to ensure students receive the maximum benefits with optimal ICT resources.
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Disclosure statement
No potential conflict of interest was reported by the author(s).