dc.rights.license | CC-BY-NC-ND | |
dc.contributor.advisor | Grift, Yolanda | |
dc.contributor.author | Meijer, Pim | |
dc.date.accessioned | 2022-12-31T01:00:57Z | |
dc.date.available | 2022-12-31T01:00:57Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/43372 | |
dc.description.abstract | In the limelight of the large-scale investments and dependence on information and
communication technology (ICT) by schools, this thesis is composed as an evaluation of
the effect of technology on academic performance. By using data from the Programme for
International Student Assessment survey (PISA) 2015, a multilevel regression model is
applied to assess the effect on math, reading and science performance of Dutch 15-year
old students. The results show diverging effects in the type of ICT variable as well as the
subject and performance level of the student. Generally, ICT availability at schools as well
as ICT use at home for school purposes shows negative effects on the PISA results of the
students. While both are significant, the ICT availability at school shows consistent
negative results across all models but later robustness test shows that most of this effect is
originated from the bottom-performing students. The results provide relevant information
for guiding policy decisions for improving the academic performance of students and
evidence that solely relying on ICT investments do not guarantee a positive impact on
student performance. | |
dc.description.sponsorship | Utrecht University | |
dc.language.iso | EN | |
dc.subject | This thesis assesses the effect Information and Communication Technology (ICT) has on Dutch 15-year-old students using a multilevel regression model. | |
dc.title | 'Less is more?' - The effects of ICT on Dutch student performance examining the PISA | |
dc.type.content | Master Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.keywords | ICT; Education Outcomes; Home & School; Pisa; The Netherlands | |
dc.subject.courseuu | Economic Policy | |
dc.thesis.id | 10291 | |