THEORETICAL INVESTIGATION OF ARTIFICIAL INTELLIGENCE IN THE CONTEXT OF EDUCATION – TRAINING
Özet Görüntüleme: 108 / PDF İndirme: 41
Anahtar Kelimeler:
Theoretical, artificial, intelligence, artificial intelligence, educationÖzet
Artificial intelligence technology has become an integral part of our daily lives and has become an indispensable tool used by people on a daily basis. When we look at daily life, these technologies are located in service areas on every platform with various tools, equipment and software applications. The application areas of artificial intelligence can be illustrated with various examples from various fields such as cyber security and defense industry, virtual assistants, language translation, search engines and recommendation systems, and healthcare. The widespread use of artificial intelligence technology, which is used in many fields, in the field of education has brought about major changes in education and has developed the changes in education in a positive way. According to a literature review, artificial intelligence tools that provide private tutoring in education have many advantages for students. These benefits are “To promote higher engagement and improved educational achievements by providing personalized learning experiences for students.”, “To enable educators to apply effective teaching techniques, taking into account students’ academic background and learning environment.”, “Automatically monitor and evaluate students’ progress, “Providing rapid feedback and supporting teachers to adapt their teaching methods accordingly.”, “Ensuring equal opportunity in education.” It is in the form. It can be said that artificial intelligence should be used more effectively for the benefit of students since it affects educational environments in the context of education and training. Measures can be taken in educational environments and educational processes to protect students from the harms of artificial intelligence but to enable them to benefit from its advantages. These measures can be said to be activities such as trying to teach coding education, which forms the basis of artificial intelligence, from an early age.
Referanslar
Adipat, S., Laksana, K., Busayanon, K., Piatanom, P., Mahamarn, Y., Pakapol, P., & Ausawasowan, A. (2022). The World of Technology: Artificial Intelligence in Education, Specialusis Ugdymas / Special Education, 2(43), 2142-2146.
Ahmed, A. S. A. M. S., & Malik, M. H. (2020). Machine Learning for Strategic Decision Making during COVID-19 at Higher Education Institutes, 2020 International Conference on Decision Aid Sciences and Application (DASA), 663-668. IEEE. doi:10.1109/DASA51403.2020.9317042
Akgun, S., & Greenhow, C. (2022). Artificial Intelligence in Education: Addressing Ethical Challenges in K-12 Settings, AI and Ethics, 2(3), 431–440. doi:10.1007/s43681-021-00096-7
Akpınar, B. (2019). Görüntü sınıflandırma için derin öğrenme ile bayesçi derin öğrenme yöntemlerinin karşılaştırılması. Yayınlanmamış yüksek lisans tezi, Afyon Kocatepe Üniversitesi, Afyon.
Arıkan, G. ve Saper, Ü. (2018). Modül 5: Eğitim 4.0. eTwinning Online Eğitimler, http://etwinningonline.eba.gov.tr/lesson/egitim-4-0/.
Arslan, K. (2020). Eğitimde yapay zekâ ve uygulamaları. Batı Anadolu Eğitim Bilimleri Dergisi, 11(1), 71-80.
Atasoy Aktaş, A. D. (2021). Dijital platformlarda kullanılan yapay zeka teknolojilerinin kullanıcı motivasyonları üzerinden incelenmesi: Netflix örneği. Doktora tezi, İstanbul Üniversitesi, İstanbul.
Audibert, R. B., Lemos, H., Avelar, P., Tavares, A. R., & Lamb, L. C. (2022). On the evolution of A.I., & Machine Learning: Towards Measuring and Understanding Impact, Influence and Leadership at Premier A.I. Conferences. http://arxiv.org/abs/2205.13131.
Cao, Z. (2021). Mobile phone gps and sensor technology in college students’ extracurricular exercises, 103-108. doi:10.1007/978-3-030-62746-1_15
Chen, L., Chen, P., & Lin, Z. (2020). Artificial ıntelligence in education: A review. IEEE Access, 8, 75264–75278. doi:10.1109/ACCESS.2020.2988510
Coşkun, F. ve Gülleroğlu, H. D. (2021). Yapay zekanın tarih içindeki gelişimi ve eğitimde kullanılması. Ankara Üniversitesi Eğitim Bilimleri Fakültesi Dergisi, 54(3), 947-966. doi:10.30964/auebfd.916220
Craft, J. A. I. (2018). Artificial ıntelligence and the softer side of medicine. Missouri Medicine, 115(5), 406-409.
Daniela, L., Visvizi, A., Gutiérrez-Braojos, C., & Lytras, M. (2018). Sustainable Higher Education and Technology-Enhanced Learning (TEL), Sustainability, 10(11), 3883. doi:10.3390/su10113883
Duggan, S. (2020). AI in Education: Change at the Speed of Learning, (S. Knyazeva, Ed.). UNESCO IITE. https://iite.unesco.org/wp-content/uploads/2021/05/Steven_Duggan_AI- in-Education_2020-2.pdf.
Duong, M. T., Rauschecker, A. M., Rudie, J. D., Chen, P.-H., Cook, T. S., Bryan, R. N., & Mohan, S. (2019). Artificial ıntelligence for precision education in radiology, The British Journal of Radiology, 92(1103), 20190389. doi:10.1259/bjr.20190389
Freitag, D. (2000). Machine learning for ınformation extraction in ınformal domains. Machine Learning, 39(2), 169-202.
Goodfellow, I., Bengio, Y., & Courville, A. (2018). Derin öğrenme. Ankara: Buzdağı Yayınevi.
Göçen, A. ve Aydemir, F. (2020). Artificial intelligence in education and schools. Research on Education and Media, 12(1), 13-21.
Görz, G. ve Nebel, B. (2005). Yapay zekâ. İstanbul: İnkılap Kitapevi.
Hao, K. (2019). China has started a grand experiment in aı education. It could reshape how the world learns, https://www.technologyreview.com/2019/08/02/131198/china- squirrel-has-started-a-grand-experiment-in-ai-education-it-could-reshape-how-the/.
Hleg, A. (2019). A Definition of AI: Main Capabilities and Scientific Disciplines. https://ec.europa.eu/digital-single-.
Huang, J., Saleh, S., & Liu, Y. (2021). A Review on Artificial Intelligence in Education, Academic Journal of Interdisciplinary Studies, 10(3), 206-217.
İşler, B. ve Kılıç, M. (2021). Eğitimde yapay zekâ kullanımı ve gelişimi. Yeni Medya Elektronik Dergisi, 5(1), 1-11.
Jalota, C., & Agrawal, R. (2019). Analysis of educational data mining using classification. 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon), 243-247.
Joshi, S., Rambola, R. K., & Churi, P. (2021). Evaluating artificial intelligence in education for next generation. Journal of Physics: Conference Series, 1714(1), 1-14.
Kara Kılıçarslan, S. (2019). Yapay zekânın hukuki statüsü ve hukuki kişiliği üzerine tartışmalar. YBHD, 2, 363-389.
Kayabaş, İ. (2010). Yapay zekâ sohbet ajanlarının uzaktan eğı̇tı̇mde öğrencı̇ destek sı̇stemı̇ olarak kullanılabı̇lı̇rlı̇ğı̇. Yayınlanmamış yüksek lisans tezi, Anadolu Üniversitesi, Eskişehir.
Kengam, J. (2020). Artificial ıntelligence in education. file:///C:/Users/User/Downloads/UseofArtificialIntelligenceinEducation4.pdf.
Kocaman-Karoğlu, A., Bal-Çetinkaya, K. ve Çimşir, E. (2020). Toplum 5.0 sürecinde Türkiye’de eğitimde dijital dönüşüm. Üniversite Araştırmaları Dergisi, 3(3), 147-158.
Kuo, T. H. (2020). The current situation of AI foreign language education and its influence on college Japanese teaching. In Cross-Cultural Design. Applications in Health, Learning, Communication and Creativity: 12th International Conference, CCD 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings, Part II 22 (pp. 315-324). Springer International Publishing.
Kuprenko, V. (2020). Artificial intelligence in education: Benefits, challenges and use cases. https://medium.com/towards-artificial-intelligence/artificial-intelligence-in education benefits-challenges-and-use-cases-db52d8921f7a.
Kuşku Özdemir, E. ve Güzeloğlu, E. B. (2015). Akıllı telefonlar ve marka değeri algıları: üniversite öğrencileri üzerine bir araştırma. Journal of International Social Research, 8(40), 730-742.
Long, D., & Magerko, B. (2020). What is AI literacy? competencies and design considerations. Conference on Human Factors in Computing Systems - Proceedings, 1-16.
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in Education. London: Pearson Education.
Luo, Q., & Yang, J. (2022). The artificial ıntelligence and neural network in teaching. Computational Intelligence and Neuroscience, 1-11.
McCarthy, J. (1998). What is artificial intelligence? http://cogprints.org/412/2/whatisai.ps.
Mitchell, M. (2021). Why aı is harder than we think. Proceedings of the Genetic and Evolutionary Computation Conference, ACM, New York, USA.
Nabiyev, V. V. (2012). Yapay zekâ insan-bilgisayar etkileşimi. Ankara: Seçkin Yayıncılık.
New Scientist. (2021). Düşünen makineler: Yaklaşan yapay zekâ çağı ve insanlığın geleceği. İstanbul: Say Yayınları.
Nilsson, N. J. (1990). The mathematical foundations of learning machines. Morgan Kaufmann Publishers Inc. https://dl.acm.org/doi/abs/10.5555/87765.
Öztemel, E. (2018). Eğitimde yeni yönelimlerin değerlendirilmesi ve eğitim 4.0. Üniversite Araştırmaları Dergisi, 1(1), 25-30.
Park, J., Yun, J., Kwon, O., Moon, I., & Kim, B. (2014). Design of contents authoring tools for smart-learning, 97-104.
Pirim, H. (2006). Yapay zekâ. Journal of Yasar University, 1(1), 81-93.
Rampelt, F., Orr, D., & Knoth, A., 2019, Bologna digital 2020: White paper on digitalisation in the european higher education area. https://hochschulforumdigitalisierung.de/en/news/white-paper-bologna-digital-2020- digitalisation-higher-education-europe.
Russell, S., & Norvig, P. (2022). Artificial intelligence: A Modern Approach (4nd ed.). New Jersey: Pearson.
Sekeroglu, B., Dimililer, K., & Tuncal, K. (2019). Artificial intelligence in education: application in student performance evaluation. Dilemas contemporáneos: Educación, Política y Valores, 7(1), 1-21.
Shen, L., Chen, I., Grey, A., & Su, A. (2021). Teaching and Learning with Artificial Intelligence. S. Verma and P. Tomar (Ed.), Impact of AI Technologies on Teaching, Learning and Research in Higher Education, 73-98. Hershey: IGI Global. doi:10.4018/978-1-7998-4763-2.ch005
Singelmann, L., Swartz, E., Pearson, M., Striker, R., & Vazquez, E. A., 2019, Design and Development of a Machine Learning Tool for an Innovation-Based Learning MOOC. 2019 IEEE Learning With MOOCS (LWMOOCS), 105-109. IEEE.
Sürer, A. G. (2020). Eğitimde dijitalleşme çağı. Kapadokya Eğitim Dergisi, 1(1), 28-34.
Tamayo, P. A., Herrero, A., Martín, J., Navarro, C., & Tránchez, J. M. (2019). Design of a chatbot as a distance learning assistant. Open Praxis, 12(1), 145-153.
Tapalova, O., & Zhiyenbayeva, N. (2022). Artificial intelligence in education: aied for personalised learning pathways. The Electronic Journal of e-Learning, 20(5), 639-653.
Taşçı, Y. ve Taşlıbeyaz, E. (2021). Yükseköğretim kurumlarında dijital dönüşüm çalışmalarının incelenmesi. Journal of Higher Education and Science, 11(1), 172-183.
Tkachov, A., & Makhnovsky, S. (2021). Models of blended learning and approaches to their selection in the educational process of higher education. Bulletin of Luhansk Taras Shevchenko National University, 2(8), 321-332.
Toosi, A., Bottino, A. G., Saboury, B., Siegel, E., & Rahmim, A. (2021). A brief history of AI: How to prevent another winter (A Critical Review). PET Clinics, 16(4), 449-469.
Uzun, Y., Hatipoğlu, M., Bütüner, R. ve Calp, M. H. (2021). Yapay zeka insan zekasını geçebilecek mi? Uluslararası Mühendislik, Doğa ve Sosyal Bilimler Sempozyumu ISENS- 21 Ana Teması “Enerji ve Toplum” içinde. Batman Üniversitesi.
Ünal, A. ve Kılınç, İ. (2020). Yapay zekâ işletme yönetimi ilişkisi üzerine bir değerlendirme. Yönetim Bilişim Sistemleri Dergisi, 6(1), 51-78.
Villegas-Ch, W., Molina-Enriquez, J., Chicaiza-Tamayo, C., Ortiz-Garcés, I., & Luján-Mora, S. (2019). Application of a Big Data Framework for Data Monitoring on a Smart Campus. Sustainability, 11, 1-15.
İndir
Yayın Tarihi
Nasıl Atıf Yapılır
Sayı
Bölüm
Lisans
Telif Hakkı (c) 2023 Usbilim Sosyal Bilimler Dergisi
Bu çalışma Creative Commons Attribution 4.0 International License ile lisanslanmıştır.