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The future of education utilizing artificial intelligence in Turkey

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  • Mustafa İçen

    (Yildiz Technical University)

Abstract

This study examined the potential effects of artificial intelligence on Turkish education. A qualitative research approach was employed by posing an open-ended question to academics in order to attain this objective thanks to built-in capabilities for conducting complicated computer operations, cloud-based services, and conciliatory accession for agile network connections. This study emphasizes that Turkey is highly fragmented and consists of various business organizations at both the municipal and regional levels. The two main policy documents produced by the Turkish government suggest that colleges play a strong role in national and regional Artificial Intelligence (AI) strategies for workforce growth, with substantial consequences for AI adoption strategies. These documents include information on three well-known educational entities: The new oriental workgroups, recurrent neural networks, and classroom clustering. Significant aspects of Turkey’s educational AI growth include a strong private education industry and a growing international interest. The investigation results revealed a decline in the level of understanding regarding the methods of using artificial intelligence, indicating the necessity for additional awareness-raising in Turkey.

Suggested Citation

  • Mustafa İçen, 2022. "The future of education utilizing artificial intelligence in Turkey," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-10, December.
  • Handle: RePEc:pal:palcom:v:9:y:2022:i:1:d:10.1057_s41599-022-01284-4
    DOI: 10.1057/s41599-022-01284-4
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    Cited by:

    1. Ksenia V. Ekimova, 2023. "Development of the potential of the digital economy of Russian regions through artificial intelligence humanisation," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-9, December.
    2. Ákos Jarjabka & Norbert Sipos & Gabriella Kuráth, 2024. "Quo vadis higher education? Post-pandemic success digital competencies of the higher educators – a Hungarian university case and actions," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.
    3. Naonobu Okazaki & Shotaro Usuzaki & Tsubasa Waki & Hyoga Kawagoe & Mirang Park & Hisaaki Yamaba & Kentaro Aburada, 2024. "Optimal Weighted Voting-Based Collaborated Malware Detection for Zero-Day Malware: A Case Study on VirusTotal and MalwareBazaar," Future Internet, MDPI, vol. 16(8), pages 1-16, July.

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