Navigating the Future of Education: Educators' Insights on AI Integration and Challenges in Greece, Hungary, Latvia, Ireland and Armenia
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2024
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Understanding teachers' perspectives on AI in Education (AIEd) is crucial for
its effective integration into the educational framework. This paper aims to
explore how teachers currently use AI and how it can enhance the educational
process. We conducted a cross-national study spanning Greece, Hungary, Latvia,
Ireland, and Armenia, surveying 1754 educators through an online questionnaire,
addressing three research questions. Our first research question examines
educators' understanding of AIEd, their skepticism, and its integration within
schools. Most educators report a solid understanding of AI and acknowledge its
potential risks. AIEd is primarily used for educator support and engaging
students. However, concerns exist about AI's impact on fostering critical
thinking and exposing students to biased data. The second research question
investigates student engagement with AI tools from educators' perspectives.
Teachers indicate that students use AI mainly to manage their academic
workload, while outside school, AI tools are primarily used for entertainment.
The third research question addresses future implications of AI in education.
Educators are optimistic about AI's potential to enhance educational processes,
particularly through personalized learning experiences. Nonetheless, they
express significant concerns about AI's impact on cultivating critical thinking
and ethical issues related to potential misuse. There is a strong emphasis on
the need for professional development through training seminars, workshops, and
online courses to integrate AI effectively into teaching practices. Overall,
the findings highlight a cautious optimism among educators regarding AI in
education, alongside a clear demand for targeted professional development to
address concerns and enhance skills in using AI tools.
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Authors | Evangelia Daskalaki; Katerina Psaroudaki; Paraskevi Fragopoulou |
Journal | arXiv |
Year | 2024 |
DOI | DOI not found |
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