| dc.rights.license | CC-BY-NC-ND | |
| dc.contributor.advisor | Georgiou, D. | |
| dc.contributor.author | Verkade, Isa | |
| dc.date.accessioned | 2025-08-29T00:01:42Z | |
| dc.date.available | 2025-08-29T00:01:42Z | |
| dc.date.issued | 2025 | |
| dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/50105 | |
| dc.description.abstract | Generative Artificial Intelligence (GenAI) offers opportunities for personalized
learning and administrative support in primary education, but simultaneously raises ethical
concerns related to privacy, algorithmic bias, and inclusivity. This qualitative study explores
how Dutch primary teachers and school leaders perceive these ethical challenges and how
such perceptions influence their trust in and willingness to use GenAI tools. Using the
Intelligence-TPACK framework, semi-structured interviews were conducted with N = 10
education professionals. The findings reveal that ethical awareness is a prerequisite for trust
and that perceptions differ depending on professional roles. Despite concerns about
transparency and teacher autonomy, participants recognised GenAI’s potential to enhance
equity and efficiency in education. This study contributes practical recommendations for the
responsible integration of GenAI within the new Dutch curriculum for Digital Literacy | |
| dc.description.sponsorship | Utrecht University | |
| dc.language.iso | EN | |
| dc.subject | The rapid rise of Generative Artificial Intelligence (GenAI) is more than just a
technological breakthrough; it represents a transformational influence that has quickly altered
the educational environment (Zhai, 2024).
This study focuses specifically on the context of Dutch primary education (PO), where
schools are tasked with implementing a newly developed curriculum for Digital Literacy
(Digitale Geletterdheid, 2023), designed by the government. | |
| dc.title | Ethical Reflections on Generative AI: Insights from Primary School Teachers and
School Leaders | |
| dc.type.content | Master Thesis | |
| dc.rights.accessrights | Open Access | |
| dc.subject.keywords | Generative Artificial Intelligence, Primary School Education, Ethics, Trust,
Inclusivity, Qualitative Research | |
| dc.subject.courseuu | Educational Sciences | |
| dc.thesis.id | 53052 | |
