Journals / İstanbul Üniversitesi Sosyoloji Dergisi / 2026 / Cilt: 46 Sayı: 1

Middle School Students’ Metaphorical Perceptions of Artificial Intelligence

Pages
415–433
Publication Date
2026-07-28
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Findings revealed that 82.9% of the students reported prior knowledge of AI, with teachers (25%), family members (21.6%), and the Internet (18.2%) being the main sources of information.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study aims to examine middle school students’ awareness of artificial intelligence (AI) and their metaphorical perceptions of it.
📊
Key Findings & Data:The research was conducted with 88 students enrolled in a middle school in western Türkiye.
💡
Conclusion & Impact:Findings revealed that 82.9% of the students reported prior knowledge of AI, with teachers (25%), family members (21.6%), and the Internet (18.2%) being the main sources of information.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Artificial intelligence · Qualitative research design · Metaphor analysis

Abstract

This study aims to examine middle school students’ awareness of artificial intelligence (AI) and their metaphorical perceptions of it. The research was conducted with 88 students enrolled in a middle school in western Türkiye. Using a qualitative research design, the study employed content analysis, and students were asked to respond to three questions: Have you ever heard of artificial intelligence? Artificial intelligence is like … because … and What is the role of artificial intelligence in educational processes? Findings revealed that 82.9% of the students reported prior knowledge of AI, with teachers (25%), family members (21.6%), and the Internet (18.2%) being the main sources of information. Students’ metaphorical perceptions were grouped under five themes: mind/brain, machine/technology, helper/supportive element, power/control, and danger/risk. The most frequent metaphor was the brain (27%), followed by robots (19%) and teachers (12%). Overall, students tended to conceptualize AI as a tool that facilitates daily life, accelerates access to information, and supports learning, while fewer associated it with negative connotations, such as dangerous but useful or addictive. The findings indicate that in the Turkish context, students’ AI awareness develops mainly through teacher-centered interactions, their understanding is shaped by concrete analogies, and their awareness of the ethical dimensions of AI remains limited. These results suggest that AI literacy programs should include systematic teaching of abstract concepts, address the digital divide, and introduce ethical aspects of AI from early educational stages.

🔖

Cite This Article

Yılmaz, M. Y. (2026). Middle School Students’ Metaphorical Perceptions of Artificial Intelligence. İstanbul Üniversitesi Sosyoloji Dergisi, Cilt: 46 Sayı: 1, 415–433. https://doi.org/10.26650/SJ.1033

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (51)

  1. Alkan, A., & Yildiz, E. (2024). Artificial intelligence and education: A metaphorical analysis on the perceptions of students with special abilities. International Journal of Research in Education and Science. https://doi.org/10.46328/ijres.3520. google scholar
  2. Arslan, H. (2022). Nitel araştırmalarda güvenirlik ve geçerlik: Yöntemsel yaklaşımlar ve uygulamalar. Pegem Akademi. google scholar
  3. Aydin, S., Duman, E., Bertiz, Y., & Birişçi, S. (2022). Investigation of the effects of computer-aided animations on conceptual understanding through metaphors: A case of artificial intelligence. Journal of Educational Technology and Online Learning. https://doi.org/10.31681/jetol.1151460. google scholar
  4. Baker, R. S., & Inventado, P. S. (2014). Educational data mining and learning analytics. In J. A. Larusson & B. White (Eds)., Learning analytics: From research to practice (pp. 61–75). Springer. google scholar
  5. Baker, T., & Smith, L. (2019). Educ-AI-tion rebooted? The future of AI in schools. Nesta. google scholar
  6. Büyüköztürk, Ş., Kılıç-Çakmak, E., Akgün, Ö. E., Karadeniz, Ş., & Demirel, F. (2021). Eğitimde bilimsel araştırma yöntemleri (30 ed). Pegem Akademi Yayınları. google scholar
  7. Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510. google scholar
  8. Chen, X., & Cowan, B. R. (2019). Student perceptions of artificial intelligence in education: A conceptual framework. Computers & Education, 143, 103673. https://doi.org/10.1016/j.compedu.2019.103673. google scholar
  9. Chen, X., Xie, H., Zou, D., & Hwang, G. J. (2020). Application and theory gaps during the rise of artificial intelligence in education. Computers and Education: Artificial Intelligence, 1, 100002. https://doi.org/10.1016/j.caeai.2020.100002. google scholar
  10. Chiu, T. K. F., Hew, T. K. F., & Ng, D. T. K. (2022). Artificial intelligence and education: A review of learning technologies and practices. Computers and Education: Artificial Intelligence, 3, 100052. https://doi.org/10.1016/j.caeai.2022.100052. google scholar
  11. Creswell, J. W. (2012). Educational research: Planning, conducting, and evaluating quantitative and qualitative research. Boston: Pearson. google scholar
  12. Creswell, J. W., & Poth, C. N. (2018). Qualitative inquiry and research design: Choosing among five approaches (4th ed). Thousand Oaks, CA: Sage. google scholar
  13. Dede, C. (2016). Online professional development for teachers: Emerging models and methods. Harvard Education Press. google scholar
  14. Demir, K., & Güraksın, G. (2022). Determining middle school students' perceptions of the concept of artificial intelligence: A metaphor analysis. Participatory Educational Research. https://doi.org/10.17275/per.22.41.9.2. google scholar
  15. Druga, S., Williams, R., Breazeal, C., & Resnick, M. (2017). "Hey Google is it OK if I eat you?" Initial explorations in child-agent interaction. In Proceedings of the 2017 Conference on Interaction Design and Children (pp. 595–600). ACM. https://doi.org/10.1145/3078072.3084330. google scholar
  16. Gibbs, R. W. (2008). The Cambridge handbook of metaphor and thought. Cambridge University Press. google scholar
  17. Görgülü, D., & Törün, E. (2025). A case study on the perception of artificial intelligence by gifted students in Turkey. Journal of Digital Educational Technology, 5(1), ep2502. https://doi.org/10.30935/jdet/15809. google scholar
  18. Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign. google scholar
  19. Holmes, W., Bialik, M., & Fadel, C. (2021). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign. google scholar
  20. Jeon, H., & Lee, J. (2023). AI and teacher agency: How artificial intelligence influences pedagogical decision-making. Educational Technology Research and Development, 71(5), 1123–1145. https://doi.org/10.1007/s11423-023-10234-9. google scholar
  21. Kalemkuş, J., & Kalemkuş, F. (2025). Primary school students' perceptions of artificial intelligence: Metaphor and drawing analysis. European Journal of Education. https://doi.org/10.1111/ejed.70007. google scholar
  22. Karasar, N. (2020). Bilimsel araştırma yöntemi. Nobel Yayıncılık. google scholar
  23. Kasneci, E., et al. (2023). The role of AI in education: Opportunities, challenges, and future directions. Computers & Education, 191, 104645. https://doi.org/10.1016/j.compedu.2023.104645. google scholar
  24. Kern, R. (2024). AI as a mediating tool in language education. Language Learning & Technology, 28(1), 1–10. https://doi.org/10.1016/j.langtech.2024.104679. google scholar
  25. Lakoff, G., & Johnson, M. (1980). Metaphors we live by. University of Chicago Press. google scholar
  26. Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33(1), 159–174. https://doi.org/10.2307/2529310. google scholar
  27. Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. Sage. google scholar
  28. Livingstone, S. (2019). The digital environment and children’s rights: A sociological perspective. New Media & Society, 21(7), 1504–1517. google scholar
  29. Luckin, R. (2018). Machine learning and human intelligence: The future of education for the 21st century. UCL Institute of Education Press. google scholar
  30. Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson Education. google scholar
  31. Marx, E., Leonhardt, T., & Bergner, N. (2023). Secondary school students' mental models and attitudes regarding artificial intelligence: A scoping review. Computers and Education: Artificial Intelligence, 5, 100169. https://doi.org/10.1016/j.caeai.2023.100169. google scholar
  32. Moorhouse, B. L., & Kohnke, L. (2024). The effects of generative AI on initial language teacher education: The perceptions of teacher educators. Teaching and Teacher Education, 135, 104268. https://doi.org/10.1016/j.tate.2024.104268. google scholar
  33. Nkambou, R., Bourdeau, J., & Mizoguchi, R. (Eds). (2010). Advances in intelligent tutoring systems. Springer. google scholar
  34. OECD. (2021). OECD digital education outlook 2021: Pushing the frontiers with artificial intelligence, blockchain and robots. Paris: OECD Publishing. https://doi.org/10.1787/589b283f-en. google scholar
  35. Schultz, D. P., & Ellen-Schultz, S. (2007). Modern psikoloji tarihi (Y. Aslay, Çev). Kaknüs Yayınları. google scholar
  36. Selwyn, N. (2012). Education in a digital world: Global perspectives on technology and education. Routledge. google scholar
  37. Serholt, S., Barendregt, W., Vasalou, A., Alves-Oliveira, P., Jones, A., & Paiva, A. (2019). The case of classroom robots: Teachers’ deliberations on the ethical tensions. AI & Society, 34(4), 847–859. https://doi.org/10.1007/s00146-018-0842-4. google scholar
  38. Tavşancıl, E., & Aslan, A. E. (2001). Sözel, yazılı ve diğer materyaller için içerik analizi ve uygulama örnekleri. Epsilon Yayınları. google scholar
  39. Walan, S. (2024). Primary school students’ perceptions of artificial intelligence – for good or bad. International Journal of Technology and Design Education. https://doi.org/10.1007/s10798-024-09898-2. google scholar
  40. Woolf, B. P. (2009). Building intelligent interactive tutors: Student-centered strategies for revolutionizing e-learning. Morgan Kaufmann. google scholar
  41. Yang, H., & Markauskaite, L. (2025). Fostering language student teachers’ transformative agency for embracing GenAI: A formative intervention. Teaching and Teacher Education, 159, 104980. https://doi.org/10.1016/j.tate.2025.104980. google scholar
  42. Yau, K., Chai, C., Chiu, T., Meng, H., King, I., & Yam, Y. (2022). A phenomenographic approach on teacher conceptions of teaching artificial intelligence (AI) in K-12 schools. Education and Information Technologies, 28, 1041–1064. https://doi.org/10.1007/s10639-022-11161-x. google scholar
  43. Yıldırım, A., & Şimşek, H. (2021). Sosyal bilimlerde nitel araştırma yöntemleri (12 ed). Seçkin Yayıncılık. google scholar
  44. Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Technology in Higher Education, 16(1), 39. https://doi.org/10.1186/s41239-019-0171-0. google scholar
  45. Zhang, B., & Dafoe, A. (2020). Artificial intelligence: American attitudes and trends. Center for the Governance of AI, Future of Humanity Institute, University of Oxford. google scholar
  46. Zhu, M., & Xie, H. (2021). Artificial intelligence in education: A review of empirical research based on structural topics. Interactive Learning Environments, 29(7), 1017–1034. https://doi.org/10.1080/10494820.2021.1884886. google scholar
  47. Büyüköztürk, Ş., Kılıç-Çakmak, E., Akgün, Ö. E., Karadeniz, Ş., & Demirel, F. (2021). Eğitimde bilimsel araştırma yöntemleri (30 ed). Pegem Akademi Yayınları. google scholar
  48. Creswell, J. W., & Poth, C. N. (2018). Qualitative inquiry and research design: Choosing among five approaches (4th ed). Thousand Oaks, CA: Sage. google scholar
  49. Nkambou, R., Bourdeau, J., & Mizoguchi, R. (Eds). (2010). Advances in intelligent tutoring systems. Springer. google scholar
  50. Schultz, D. P., & Ellen-Schultz, S. (2007). Modern psikoloji tarihi (Y. Aslay, Çev). Kaknüs Yayınları. google scholar
  51. Yıldırım, A., & Şimşek, H. (2021). Sosyal bilimlerde nitel araştırma yöntemleri (12 ed). Seçkin Yayıncılık. google scholar