Artificial Intelligence and Education: A Metaphorical Analysis on the Perceptions of Students with Special Abilities

Ayşe Alkan, Ezgi Pelin Yildiz

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Abstract


The main goal of this study is to reveal special talented primary school students' perceptions of artificial intelligence, one of the popular concepts of recent times, through metaphors. In this study, the phenomenological design, which is within the scope of qualitative research, was used. In this study, Türkiye Science and Art Center included special talented primary school students in the education field. The 104 special talented primary school students participating in the research were 9-14 years old. Of these students, 53 were boys and 51 were girls. The participants were in the 3th grade, 4th grade, 5th, 6th, 7th and 8th grades of primary education. Purposive sampling method was chosen in the research. When the answers from the students were examined, a total of 36 different categories emerged in line with the relevant metaphors. When these categories are examined in detail, it is seen that the concept of artificial intelligence is represented by different metaphors. According to the findings, it was determined that primary school students simulated the concept of artificial intelligence to different metaphors such as robot, smiling robot, robot vacuum cleaner. As a result, it has been revealed that special talented student generally have positive opinions about the concept of artificial intelligence.

Keywords


Metaphor, Perception, Phenomenology Design, Artificial Intelligent, Special Talented,

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References


Alkan, A. & Yildiz, E.P. (2024). Artificial intelligence and education: A metaphorical analysis on the perceptions of students with special abilities. International Journal of Research in Education and Science (IJRES), 10(4), 761-775. https://doi.org/10.46328/ijres.3520




DOI: https://doi.org/10.46328/ijres.3520

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International Journal of Research in Education and Science (IJRES)
 
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

 

ISSN: 2148-9955 (Online)