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A New Paradigm in Education: "Artificial Intelli-gence in Higher Education"

Year 2020, Volume: 16 Issue: 29, 2346 - 2370, 30.09.2020
https://doi.org/10.26466/opus.747634

Abstract

The developments in technology in recent years have deeply affected societies. Artificial intelligence, one of these developments, has also created a revolution in human life. One of the areas that artificial intelligence affects is higher education. Artificial intelligence, which emerged as a result of the digital revolution, is a challenge to higher education. In this respect, how ready are higher education institutions for artificial intelligence? What revolution can artificial intelligence, an output of the digital age, create in higher education institutions? How ready are higher education leaders mentally and strategically for artificial intelligence? What are the ethical limitations of artificial intelligence in higher education? What are the benefits and challenges of artificial intelligence in improving student success, facilitating student enrollment, and better management of higher education resources? questions are a new paradigm in higher education. In the perspective of these questions, this study suggests that artificial intelligence can strengthen universities when used correctly in higher education. However, to realize this thesis, higher education institutions need to reassess and transform themselves in order to continue their mission of research, education and society.Nowadays,many universities strive to devote time and develop themselves to teach their students the skills and knowledge needed to provide the best possible education. Morever, it is especially important for educators and especially higher education leaders and faculty members to understand how artificial intelligence can support educators. In this respect, in this study, questions the role of artificial intelligence in higher education, as well as the applications of artificial intelligence in higher education, and discusses how optimistic institutions of higher education institutions can prepare for future artificial intelligence

References

  • Angeli, C., ve Valanides, N. (2019). Developing young children’s computational thinking with educational robotics: An interaction effect. Comput. Hum. Behav.
  • Baker, R. S., ve Inventado, P. S. (2014). Educational Data mining and learning analytics. J. A. J. A. Larusson, ve B. White (Ed.), Learning analytics: From research to practice içinde (s. 61-75). New York, NY: Springer.
  • Berendt, B., Littlejohn, A., ve Blakemore, M. (2020). AI in education: Learner choice and fundamental rights. Learning, Media and Technology, 1-13. DOI:10.1080/17439884.2020.1786399
  • Bostrom, N., ve Yudkowsky, E. (2014). The ethics of artificial intelligence. K. F. (Eds.), The Cambridge handbook of artificial intelligence. Cambridge: Cambridge University Press.
  • Bughin, J., Hazan, E., Ramaswamy, S., Chui, M., Allas, T., Dahlström, P., Henke, N., ve Trench, M. (2017). Artifıcial ıntelligence the next digital frontier? McKinsey & Company, 02.04.2020 tarihinde www.mckinsey.com/mgi adresinden alındı.
  • Carriço, G. (2018). The EU and artificial intelligence: A human-centred perspective. European View, 1(17), 29- 36. doi:10.1177/1781685818764821
  • Cellan-Jones, R. (2014). Stephen Hawking warns artificial intelligence could end mankind. BBC News. 02.04.2020 tarihinde http://www.bbc.com/news/technology-30290540 adresinden alındı.
  • Chatterjee, S. (2018). Artifıcial intelligence and higher education. Siliconindia, 20-21. 02.04.2020 tarihinde https://www.siliconindia.com/magazines/December2018/AI/#page=20 adresinden alındı.
  • Chatterjee, S., ve Bhattacharjee, K. K. (2020). Adoption of artificial intelligence in higher education: A quantitative analysis using structural equation modelling. Education and Information Technologies. doi:10.1007/s10639-020-10159-7
  • Copeland, B. J. (1998). Artificial intelligence: A philosophical introduction. Malden: MA: Blackwell.
  • Cox A.M., Pinfield S., Rutter S. (2019). The intelligent library: Thought leaders’ views on the likely impact of artificial intelligence on academic libraries. White Rose Research Online , Emerald. Library Hi Tech. ISSN 0737-8831. 02.04.2020 tarihinde https://core.ac.uk/reader/199218551 adresinden alındı.
  • Cremer, D., ve Bettignies, H. C. (2013). Pragmatic business ethics. The Leadership Maestro, 24(2), 64-67. doi:10.1111/j.1467-8616.2013.00938.x
  • Darling-Hammond, L. (2014). What can PISA tell US about US education policy? New England Journal of Public Policy, 26(1-4).
  • Davies, A., Dodgson, M., ve Gann, D. (2017). Innovation and flexibility in megaprojects: A new delivery model. (B. Flyvbjerg, Dü.) Oxford: The Oxford Handbook of Megaproject Management, Oxford University Press.
  • Delen, D. (2011). Predicting student attrition with data mining methods. Journal of College Student Retention: Research, Theory and Practice, 13(1), 17-35.
  • Dodgson, M., ve Gann, D. (2017). Artificial intelligence will transform universities. Here’s how. World Economic Forum, 1-6. 26.04.2020 tarihinde https://www.weforum.org/agenda/2017/08/artfcal-ntellgence-wll- transform-unverstes-here-s-how/ adresinden alındı.
  • Eaton, E., Koenig, S. M., Crowley, M., Freedman, R. G., Cardona-Rivera, R. E., Machado, T., ve Williams, T. (2018). Blue sky ideas in artificial intelligence education from the EAAI 2017 new and future AI educator program. AI Matters, 3(4).
  • Fang, J., Su, H., ve Xiao, Y. (2018). Will artificial intelligence surpass human intelligence? 1-9. doi:10.2139/ssrn.3173876.
  • Fulmer, R. (2019). Artificial intelligence and counseling: Four levels of implementation. Theory & Psychology, 29(6), 807-819. doi:org/10.1177/0959354319853045
  • Good, I. J. (1966). Speculations concerning the first ultraintelligent machine. Advances in Computers, 6, 31- 88.
  • Gulson, K. N., ve Webb, P. T. (2017). Mapping an emergent field of ‘computational education policy’: Policy rationalities, prediction, and data in the age of artificial intelligence. Research in Education, 98(1), 14-26.
  • Hawking, S., Russell, S., Tegmark, M., ve Wilczek, F. (2014). Transcending complacency on superintelligent machines. Huffington Post. 22.05.2020 tarihinde https://www.huffpost.com/entry/artificial- intelligence_b_5174265 adresinden alındı.
  • Huang, C., Chen, C., Luo, Y., Chen, H. X., ve Chuang, Y. T. (2008). Developing an intelligent diagnosis and assessment e-learning tool for introductory programming. Educational Technology & Society, 11(4), 139-157.
  • Jackson, S. S. (2019). Using artificial intelligence to improve access to and success in higher education. INSIGHT Into Diversity, 34-36. 22.04.2020 tarihinde https://www.insightintodiversity.com/using-artificial- intelligence-to-improve-access-to-and-success-in-higher-education/ adresinden alındı.
  • Khare, K., Stewart, B., ve Khare, A. (2018). Artificial intelligence and the student experience: An institutional perspective. IAFOR Journal of Education, 6(3).
  • Kromydas, T. (2017). Rethinking higher education and its relationship with social inequalities: Past knowledge, present state and future potential. Palgrave Communications, 1-12.
  • Kumar, V., Rajan, B., Venkatesan, R., ve Lecinski, J. (2019). Understanding the role of artificial intelligence in personalized engagement marketing. California Management Review, 61(4), 135-155. doi:10.1177/0008125619859317
  • Luckin, R. (2017). Towards artificial intelligencebased assessment systems. Nature Human Behaviour, 1.
  • McCarthy, J. (2007). What is artificial intelligence? 1.05. 2020 tarihinde http://jmc.stanford.edu/articles/whatisai/whatisai.pdf adresinden alındı.
  • McKenzie, L. (2018). Pushing the boundaries of learning with AI. Inside Higher Education. 29.04.2020 tarihinde https://www.insidehighered.com/digital-learning/article/2018/09/26/academics-push-expand-use-ai- higher-ed-teaching-and-learning adresinden alındı.
  • Mellul, C. (2018). Emerging technologies in higher education and the workplace: An assessment. International Federation of Catholic Universities.
  • Moedas, C. (2017). Media in the age of artificial intelligence. Speech at the STOA Annual. 27.04.2020 tarihinde https://ec.europa.eu/commission/commissioners/2014–2019/moedas/announcements/stoa-annual- lecture-media-age-artificial-intelligence_en adresinden alındı.
  • Monnier, M. (2015). Difficulties in defining social-emotional intelligence, competences and skills- A theoretical analysis and structural suggestion. International Journal for Research in Vocational Education and Training, 2(1), 59-84. doi:10.13152/IJRVET.2.1.4
  • Müller, V. C. (2016). Risks of artificial intelligence. Boca Raton, FL: Chapman & Hall.
  • Ocaña-Fernández, Y., Valenzuela-Fernández, L. A., ve Garro-Aburto, L. L. (2019). Artificial intelligence and its implications in higher education. Propósitos y Representaciones, 7(2), 536-568.
  • Papaspyridis, A. (2020). AI in higher education: Opportunities and considerations. Microsoft Asia News Center. May 1, 2020 tarihinde https://news.microsoft.com/apac/2020/03/26/ai-in-higher-education- opportunities-and-considerations/ adresinden alındı.
  • Pence, H. E. (2013). Are MOOCs a solution or a symptom? Journal of Educational Technology Systems, 42(2), 121-132.
  • Pence, H. E. (2019). Artificial intelligence in higher education: New wine in old wineskins? Journal of Educational Technology Systems, 48(1), 5-13. doi:10.1177/0047239519865577
  • Popenici, S. A., ve Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 22(12). doi: 10.1186/s41039-017- 0062-8
  • Price, S., ve. Flach, P. A. (2017). Computational support for academic peer review: A perspective from artificial intelligence. Communıcatıons of The Acm, 60(3), 70-79. doi: 10.1146/2979672
  • Randhawa, G., ve Jackson, M. (2020). The role of artificial intelligence in learning and professional development for healthcare professionals. Healthcare Management Forum, 33(1), 19-24.
  • Russel, S., ve Norvig, P. (2010). Artificial intelligence - a modern approach. New Jersey: Pearson Education.
  • Schejbal, D. (2012). In Search of a new paradigm for higher education. Innov High Educ 37, 373-386. doi:10.1007/s10755-012-9218-z
  • Spector, J. M., ve Ma, S. (2019). Inquiry and critical thinking skills for the next generation: from artificial intelligence back to human intelligence. Smart Learning Environments, 6(8). doi:10.1186/s40561-019-0088-z
  • Stefan, A. D., ve Sharon, K. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 1, 3-13. doi:10.1186/s41039-017- 0062-8.
  • Taşçı, G. (2018). Yükseköğretimde uluslararasılaşma: Türkiye örneği (1995-2014). Doktora Tezi. Marmara Üniversitesi, Eğitim Bilimleri Enstitüsü, Eğitim Yönetimi ve Denetimi, İstanbul, Türkiye.
  • Turing, A. M. (1950). Computing machinery and intelligence. Mind, LIX No. 236, 433.
  • UNESCO (2017). Data Revolution to measure equity in education for SDGs #CIES2017.3 Mar 2017. 13 May 2020 tarihinde http://www.iiep.unesco.org/en/data-revolution-measure-equity-education-sdgs-cies2017-3886 adresinden alındı.
  • Zawacki-Richter, O., Marín, V. I., Bond, M., ve Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16(39). doi:10.1186/s41239-019-0171-0
  • Zeide, E. (2019). Artifical intelligence in higher education: Applications, promise and perils, and ethical questions. EDUCAUSE, 1-13. 24.05.2020 tarihinde https://er.educause.edu/artcles/2019/8/artfcal-ntellgence- n-hgher-educaton-applcatons-promse-and-perls-and-ethcal-questons adresinden alındı.

Eğitimde Yeni Bir Paradigma: “Yükseköğretimde Yapay Zekâ”

Year 2020, Volume: 16 Issue: 29, 2346 - 2370, 30.09.2020
https://doi.org/10.26466/opus.747634

Abstract

Son yıllarda teknolojide yaşanan gelişmeler toplumları derinden etkilemektedir. Bu gelişmelerden biri olan yapay zekâ da insan yaşamında bir devrim yaratmıştır. Yapay zekânın etkilediği alanlardan biri de yükseköğretimdir. Dijital devrimin bir sonucu olarak ortaya çıkan yapay zekâ, yükseköğretime meydan okumaktadır. Bu yönüyle “Yükseköğretim kurumları yapay zekâya ne kadar hazırdır? Dijital çağın bir çıktısı olan yapay zekâ yükseköğretim kurumlarında nasıl bir devrim yaratabilecektir? Yükseköğretim liderleri yapay zekâya zihinsel ve stratejik olarak ne kadar hazırdır? Yükseköğretimde yapay zekânın etik sınırlılıkları nelerdir? Yapay zekânın öğrenci başarısını arttırmada, öğrenci kaydını kolaylaştırmada ve yükseköğretimdeki kaynakları daha iyi yönetme sürecinde faydaları ve zorlukları nelerdir?” soruları yükseköğretimde yeni bir paradigmadır. Bu sorular perspektifinde bu çalışma, yapay zekânın yükseköğretimde doğru kullanıldığında üniversiteleri güçlendirebileceği tezini öne sürmektedir. Ancak bu tezi gerçekleştirebilmesi için yükseköğretim kurumlarının araştırma, öğretim ve topluma hizmet misyonlarını devam ettirebilmesi için yükseköğretim kurumlarının kendilerini yeniden değerlendirmeye ve dönüştürmeye ihtiyaçları vardır. Günümüzde, birçok üniversite yapay zekâyı yükseköğretimde fonksiyonel olarak kullanmakta ve öğrencilerine mümkün olan en iyi eğitimi sağlamak için gerekli beceri ve bilgileri öğretmek için zaman ayırmaya ve kendilerini geliştirmeye çalışmaktadır. Bununla birlikte, eğitimcilerin ve özellikle de yükseköğretim liderlerinin ve öğretim üyelerinin yapay zekânın eğitimcileri nasıl destekleyebileceğini anlamaları bu süreçte çok önemlidir. Bu bağlamda bu makale, yapay zekânın yükseköğretimdeki rolünü sorgulamasının yanı sıra, yapay zekânın yükseköğretimdeki uygulamalarını sorgulamakta ve yükseköğretim kurumlarının yapay zekâ ile geleceğe nasıl hazırlanabileceğini iyimser bir bakış açısıyla tartışmaktadır.

References

  • Angeli, C., ve Valanides, N. (2019). Developing young children’s computational thinking with educational robotics: An interaction effect. Comput. Hum. Behav.
  • Baker, R. S., ve Inventado, P. S. (2014). Educational Data mining and learning analytics. J. A. J. A. Larusson, ve B. White (Ed.), Learning analytics: From research to practice içinde (s. 61-75). New York, NY: Springer.
  • Berendt, B., Littlejohn, A., ve Blakemore, M. (2020). AI in education: Learner choice and fundamental rights. Learning, Media and Technology, 1-13. DOI:10.1080/17439884.2020.1786399
  • Bostrom, N., ve Yudkowsky, E. (2014). The ethics of artificial intelligence. K. F. (Eds.), The Cambridge handbook of artificial intelligence. Cambridge: Cambridge University Press.
  • Bughin, J., Hazan, E., Ramaswamy, S., Chui, M., Allas, T., Dahlström, P., Henke, N., ve Trench, M. (2017). Artifıcial ıntelligence the next digital frontier? McKinsey & Company, 02.04.2020 tarihinde www.mckinsey.com/mgi adresinden alındı.
  • Carriço, G. (2018). The EU and artificial intelligence: A human-centred perspective. European View, 1(17), 29- 36. doi:10.1177/1781685818764821
  • Cellan-Jones, R. (2014). Stephen Hawking warns artificial intelligence could end mankind. BBC News. 02.04.2020 tarihinde http://www.bbc.com/news/technology-30290540 adresinden alındı.
  • Chatterjee, S. (2018). Artifıcial intelligence and higher education. Siliconindia, 20-21. 02.04.2020 tarihinde https://www.siliconindia.com/magazines/December2018/AI/#page=20 adresinden alındı.
  • Chatterjee, S., ve Bhattacharjee, K. K. (2020). Adoption of artificial intelligence in higher education: A quantitative analysis using structural equation modelling. Education and Information Technologies. doi:10.1007/s10639-020-10159-7
  • Copeland, B. J. (1998). Artificial intelligence: A philosophical introduction. Malden: MA: Blackwell.
  • Cox A.M., Pinfield S., Rutter S. (2019). The intelligent library: Thought leaders’ views on the likely impact of artificial intelligence on academic libraries. White Rose Research Online , Emerald. Library Hi Tech. ISSN 0737-8831. 02.04.2020 tarihinde https://core.ac.uk/reader/199218551 adresinden alındı.
  • Cremer, D., ve Bettignies, H. C. (2013). Pragmatic business ethics. The Leadership Maestro, 24(2), 64-67. doi:10.1111/j.1467-8616.2013.00938.x
  • Darling-Hammond, L. (2014). What can PISA tell US about US education policy? New England Journal of Public Policy, 26(1-4).
  • Davies, A., Dodgson, M., ve Gann, D. (2017). Innovation and flexibility in megaprojects: A new delivery model. (B. Flyvbjerg, Dü.) Oxford: The Oxford Handbook of Megaproject Management, Oxford University Press.
  • Delen, D. (2011). Predicting student attrition with data mining methods. Journal of College Student Retention: Research, Theory and Practice, 13(1), 17-35.
  • Dodgson, M., ve Gann, D. (2017). Artificial intelligence will transform universities. Here’s how. World Economic Forum, 1-6. 26.04.2020 tarihinde https://www.weforum.org/agenda/2017/08/artfcal-ntellgence-wll- transform-unverstes-here-s-how/ adresinden alındı.
  • Eaton, E., Koenig, S. M., Crowley, M., Freedman, R. G., Cardona-Rivera, R. E., Machado, T., ve Williams, T. (2018). Blue sky ideas in artificial intelligence education from the EAAI 2017 new and future AI educator program. AI Matters, 3(4).
  • Fang, J., Su, H., ve Xiao, Y. (2018). Will artificial intelligence surpass human intelligence? 1-9. doi:10.2139/ssrn.3173876.
  • Fulmer, R. (2019). Artificial intelligence and counseling: Four levels of implementation. Theory & Psychology, 29(6), 807-819. doi:org/10.1177/0959354319853045
  • Good, I. J. (1966). Speculations concerning the first ultraintelligent machine. Advances in Computers, 6, 31- 88.
  • Gulson, K. N., ve Webb, P. T. (2017). Mapping an emergent field of ‘computational education policy’: Policy rationalities, prediction, and data in the age of artificial intelligence. Research in Education, 98(1), 14-26.
  • Hawking, S., Russell, S., Tegmark, M., ve Wilczek, F. (2014). Transcending complacency on superintelligent machines. Huffington Post. 22.05.2020 tarihinde https://www.huffpost.com/entry/artificial- intelligence_b_5174265 adresinden alındı.
  • Huang, C., Chen, C., Luo, Y., Chen, H. X., ve Chuang, Y. T. (2008). Developing an intelligent diagnosis and assessment e-learning tool for introductory programming. Educational Technology & Society, 11(4), 139-157.
  • Jackson, S. S. (2019). Using artificial intelligence to improve access to and success in higher education. INSIGHT Into Diversity, 34-36. 22.04.2020 tarihinde https://www.insightintodiversity.com/using-artificial- intelligence-to-improve-access-to-and-success-in-higher-education/ adresinden alındı.
  • Khare, K., Stewart, B., ve Khare, A. (2018). Artificial intelligence and the student experience: An institutional perspective. IAFOR Journal of Education, 6(3).
  • Kromydas, T. (2017). Rethinking higher education and its relationship with social inequalities: Past knowledge, present state and future potential. Palgrave Communications, 1-12.
  • Kumar, V., Rajan, B., Venkatesan, R., ve Lecinski, J. (2019). Understanding the role of artificial intelligence in personalized engagement marketing. California Management Review, 61(4), 135-155. doi:10.1177/0008125619859317
  • Luckin, R. (2017). Towards artificial intelligencebased assessment systems. Nature Human Behaviour, 1.
  • McCarthy, J. (2007). What is artificial intelligence? 1.05. 2020 tarihinde http://jmc.stanford.edu/articles/whatisai/whatisai.pdf adresinden alındı.
  • McKenzie, L. (2018). Pushing the boundaries of learning with AI. Inside Higher Education. 29.04.2020 tarihinde https://www.insidehighered.com/digital-learning/article/2018/09/26/academics-push-expand-use-ai- higher-ed-teaching-and-learning adresinden alındı.
  • Mellul, C. (2018). Emerging technologies in higher education and the workplace: An assessment. International Federation of Catholic Universities.
  • Moedas, C. (2017). Media in the age of artificial intelligence. Speech at the STOA Annual. 27.04.2020 tarihinde https://ec.europa.eu/commission/commissioners/2014–2019/moedas/announcements/stoa-annual- lecture-media-age-artificial-intelligence_en adresinden alındı.
  • Monnier, M. (2015). Difficulties in defining social-emotional intelligence, competences and skills- A theoretical analysis and structural suggestion. International Journal for Research in Vocational Education and Training, 2(1), 59-84. doi:10.13152/IJRVET.2.1.4
  • Müller, V. C. (2016). Risks of artificial intelligence. Boca Raton, FL: Chapman & Hall.
  • Ocaña-Fernández, Y., Valenzuela-Fernández, L. A., ve Garro-Aburto, L. L. (2019). Artificial intelligence and its implications in higher education. Propósitos y Representaciones, 7(2), 536-568.
  • Papaspyridis, A. (2020). AI in higher education: Opportunities and considerations. Microsoft Asia News Center. May 1, 2020 tarihinde https://news.microsoft.com/apac/2020/03/26/ai-in-higher-education- opportunities-and-considerations/ adresinden alındı.
  • Pence, H. E. (2013). Are MOOCs a solution or a symptom? Journal of Educational Technology Systems, 42(2), 121-132.
  • Pence, H. E. (2019). Artificial intelligence in higher education: New wine in old wineskins? Journal of Educational Technology Systems, 48(1), 5-13. doi:10.1177/0047239519865577
  • Popenici, S. A., ve Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 22(12). doi: 10.1186/s41039-017- 0062-8
  • Price, S., ve. Flach, P. A. (2017). Computational support for academic peer review: A perspective from artificial intelligence. Communıcatıons of The Acm, 60(3), 70-79. doi: 10.1146/2979672
  • Randhawa, G., ve Jackson, M. (2020). The role of artificial intelligence in learning and professional development for healthcare professionals. Healthcare Management Forum, 33(1), 19-24.
  • Russel, S., ve Norvig, P. (2010). Artificial intelligence - a modern approach. New Jersey: Pearson Education.
  • Schejbal, D. (2012). In Search of a new paradigm for higher education. Innov High Educ 37, 373-386. doi:10.1007/s10755-012-9218-z
  • Spector, J. M., ve Ma, S. (2019). Inquiry and critical thinking skills for the next generation: from artificial intelligence back to human intelligence. Smart Learning Environments, 6(8). doi:10.1186/s40561-019-0088-z
  • Stefan, A. D., ve Sharon, K. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 1, 3-13. doi:10.1186/s41039-017- 0062-8.
  • Taşçı, G. (2018). Yükseköğretimde uluslararasılaşma: Türkiye örneği (1995-2014). Doktora Tezi. Marmara Üniversitesi, Eğitim Bilimleri Enstitüsü, Eğitim Yönetimi ve Denetimi, İstanbul, Türkiye.
  • Turing, A. M. (1950). Computing machinery and intelligence. Mind, LIX No. 236, 433.
  • UNESCO (2017). Data Revolution to measure equity in education for SDGs #CIES2017.3 Mar 2017. 13 May 2020 tarihinde http://www.iiep.unesco.org/en/data-revolution-measure-equity-education-sdgs-cies2017-3886 adresinden alındı.
  • Zawacki-Richter, O., Marín, V. I., Bond, M., ve Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16(39). doi:10.1186/s41239-019-0171-0
  • Zeide, E. (2019). Artifical intelligence in higher education: Applications, promise and perils, and ethical questions. EDUCAUSE, 1-13. 24.05.2020 tarihinde https://er.educause.edu/artcles/2019/8/artfcal-ntellgence- n-hgher-educaton-applcatons-promse-and-perls-and-ethcal-questons adresinden alındı.
There are 50 citations in total.

Details

Primary Language Turkish
Subjects Other Fields of Education
Journal Section Articles
Authors

Gülşah Taşçı 0000-0003-0701-2824

Mustafa Çelebi 0000-0002-0325-7528

Publication Date September 30, 2020
Acceptance Date August 17, 2020
Published in Issue Year 2020 Volume: 16 Issue: 29

Cite

APA Taşçı, G., & Çelebi, M. (2020). Eğitimde Yeni Bir Paradigma: “Yükseköğretimde Yapay Zekâ”. OPUS International Journal of Society Researches, 16(29), 2346-2370. https://doi.org/10.26466/opus.747634

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