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Artificial Intelligence: Its Role and Potential in Education

Cilt: 13 Sayı: 1 31 Mart 2024
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Artificial Intelligence: Its Role and Potential in Education

Öz

Artificial intelligence (AI), which has attracted great attention in recent years, has been widely used in the field of education as in many other fields. AI in education is used to improve student learning, support teachers and provide a more personalized educational experience. AI plays an important role with adaptive learning systems in improving students' learning processes. These systems assess students' individual needs and provide them with appropriate learning materials. AI also monitors students' performance, identifies their weaknesses, and provides additional support in these areas. Thus, students are enabled to learn more effectively and to reveal their full potential. By supporting teachers, AI facilitates classroom management and helps teachers use their time more efficiently. Automated assessment systems allow teachers to quickly assess assignments and exams, while improving the process of providing feedback. In addition, AI also helps teachers understand students' interests and learning styles, so that more personalized instruction can be offered. Another important use of AI in education is student counseling. AI-based counseling systems can guide students in matters such as career choices, university applications, and academic planning. These systems can provide students with viable career options, support the application process, and help them identify their future goals. As a result, the use of AI in education has great potential to improve student learning processes, provide support to teachers and provide a more personalized educational experience. In this study; The subject of AI was examined in a general framework under the title of education and the role of AI in education was discussed. It is thought that AI will contribute to the field by revealing the teacher and how it can be used in the field of education.

Anahtar Kelimeler

Technology, Education, İnformatics, Artificial Intelligence, Educational Data Mining Education

Kaynakça

  1. Akyürek, H.A. (2013). Intelligent workforce management by using artificial intelligence techniques. Master Thesis. Mevlana University, Institute of Science and Technology, Konya, Turkey.
  2. Atasoy, S. (2012). Performance management modelling with artifical neural network and fuzzy neural network in human resources. Master Thesis, Yıldız Teknik University, Institute of Science and Technology, İstanbul, Turkey.
  3. Badal, Y.T. & Sungkur, R.K. (2023). Predictive modelling and analytics of students’ grades using machine learning algorithms. Educ Inf Technol 28, 3027–3057 (2023). https://doi.org/10.1007/s10639-022-11299-8
  4. Bahçeci, F. (2015). Öğrenme yönetim sistemlerinde kullanılan öğrenme analitikleri araçlarının incelenmesi. Turkish Journal of Educational Studies, 2(1), 41–58.
  5. Baker, R. S. J. & Yacef, K. (2009). The state of educational data mining in 2009: a review and future visions. Journal of Educational Data Mining, 1(1), 3-17. doi.org/10.5281/zenodo.3554657
  6. Baker,T.,Smıth,L. & Anissa,N.(2019). Educ-AI-tion rebooted? Exploring the future of artificial intelligence in schools and colleges. Access address: https://www.nesta.org.uk/report/education-rebooted/.
  7. Bozkır, A. S., Sezer, E. & Gök, B. (2009). Öğrenci Seçme Sınavında (ÖSS) öğrenci başarımını etkileyen faktörlerin veri madenciliği yöntemleriyle tespiti. 5. Uluslararası İleri Teknolojiler Sempozyumu (IATS’09), 13-15 Mayıs, Karabük University, Karabük, 37-43. Access address: https://www.researchgate.net/publication/237693243_Ogrenci_Secme_Sinavinda_OSS_Ogrenci_Basarimini_Etkileyen_Faktorlerin_Veri_Madenciligi_Yontemleriyle_Tespiti
  8. Chen, Y. & Zhai, L. (2023). A comparative study on student performance prediction using machine learning. Educ Inf Technol 28, 12039–12057. https://doi.org/10.1007/s10639-023-11672-1.
  9. Chung, J. Y. & Lee, S. (2019). Dropout early warning systems for high school students using machine learning. Children and Youth Services Review, 96, 346-353. doi.org/10.1016/j.childyouth.2018.11.030
  10. Çakıt, E. & Dağdeviren, M. (2022). Predicting the percentage of student placement: A comparative study of machine learning algorithms. Education and Information Technologies, 27(1), 997-1022. doi.org/10.1007/s10639-021-10655-4

Kaynak Göster

APA
Alkan, A. (2024). Artificial Intelligence: Its Role and Potential in Education. İnsan ve Toplum Bilimleri Araştırmaları Dergisi, 13(1), 483-497. https://doi.org/10.15869/itobiad.1331201
AMA
1.Alkan A. Artificial Intelligence: Its Role and Potential in Education. itobiad. 2024;13(1):483-497. doi:10.15869/itobiad.1331201
Chicago
Alkan, Ayşe. 2024. “Artificial Intelligence: Its Role and Potential in Education”. İnsan ve Toplum Bilimleri Araştırmaları Dergisi 13 (1): 483-97. https://doi.org/10.15869/itobiad.1331201.
EndNote
Alkan A (01 Mart 2024) Artificial Intelligence: Its Role and Potential in Education. İnsan ve Toplum Bilimleri Araştırmaları Dergisi 13 1 483–497.
IEEE
[1]A. Alkan, “Artificial Intelligence: Its Role and Potential in Education”, itobiad, c. 13, sy 1, ss. 483–497, Mar. 2024, doi: 10.15869/itobiad.1331201.
ISNAD
Alkan, Ayşe. “Artificial Intelligence: Its Role and Potential in Education”. İnsan ve Toplum Bilimleri Araştırmaları Dergisi 13/1 (01 Mart 2024): 483-497. https://doi.org/10.15869/itobiad.1331201.
JAMA
1.Alkan A. Artificial Intelligence: Its Role and Potential in Education. itobiad. 2024;13:483–497.
MLA
Alkan, Ayşe. “Artificial Intelligence: Its Role and Potential in Education”. İnsan ve Toplum Bilimleri Araştırmaları Dergisi, c. 13, sy 1, Mart 2024, ss. 483-97, doi:10.15869/itobiad.1331201.
Vancouver
1.Ayşe Alkan. Artificial Intelligence: Its Role and Potential in Education. itobiad. 01 Mart 2024;13(1):483-97. doi:10.15869/itobiad.1331201

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