Characterizing giftedness through generative Artificial Intelligence: Insights from ChatGPT and Gemini

Yıl 2025, Cilt: 7 Sayı: 13, 423 - 444, 01.10.2025

Kübra Kırca Demirbaga

Öz

This study examines how generative artificial intelligence (AI) models define giftedness, specifically OpenAI’s ChatGPT-3.5 and Google’s Gemini. Considering the potential opportunities of generative AI, which is increasingly used in education today, for gifted education, the study reveals the definition of the giftedness term created by widely used generative AI models. The study analyses the definitions of ChatGPT-3.5 and Gemini about the term giftedness through content analysis, compares the responses of these two models, and relates the findings to the existing literature. It reveals that both generative AI models emphasize multidimensionality and high achievement relative to peers in the definitions of the giftedness term. Gemini additionally highlights natural abilities, asynchronous development, and the complex interplay of cognitive, emotional, and motivational factors, which ChatGPT-3.5 did not address. The study draws attention to the necessity of critically examining data-driven biases and algorithmic constraints embedded in generative AI systems. It offers a basis for future research on the effective and ethically grounded use of generative AI models in identifying and supporting gifted individuals.

Anahtar Kelimeler

Giftedness , Gifted Education , Generative Artificial Intelligence , ChatGPT , Gemini

Characterizing giftedness through generative Artificial Intelligence: Insights from ChatGPT and Gemini

Öz

Bu çalışma, üretken yapay zekâ (YZ) modellerinin özel yetenekliliği nasıl tanımladığını incelemekte; özellikle OpenAI tarafından geliştirilen ChatGPT-3.5 ve Google’ın Gemini modellerine odaklanmaktadır. Günümüzde eğitim alanında giderek daha fazla kullanılan üretken YZ’nin özel yetenekli bireylerin eğitimi açısından sunduğu olanaklar dikkate alınarak, çalışmada yaygın biçimde kullanılan bu modellerin özel yeteneklilik kavramına dair tanımları ortaya konulmaktadır. ChatGPT-3.5 ve Gemini modellerinin özel yeteneklilik kavramına ilişkin tanımları içerik analizi yöntemiyle incelenmiş, bu yanıtlar karşılaştırılmış ve elde edilen bulgular mevcut literatürle ilişkilendirilmiştir. Çalışma, her iki modelin de özel yetenekliliği çok boyutluluk ve akranlara kıyasla yüksek başarı düzeyi üzerinden tanımladığını ortaya koymaktadır. Bununla birlikte, Gemini modelinin doğal yetenekler, eşzamanlı olmayan gelişim ve bilişsel, duygusal ve motivasyonel faktörler arasındaki karmaşık etkileşim gibi unsurları da vurguladığı; ChatGPT-3.5’in ise bu boyutlara yer vermediği görülmüştür. Çalışma, üretken YZ sistemlerine gömülü veri temelli önyargıların ve algoritmik sınırlılıkların eleştirel bir biçimde incelenmesi gerekliliğine dikkat çekmektedir. Ayrıca, üretken YZ modellerinin özel yetenekli bireylerin tanılanması ve desteklenmesinde daha etkili ve etik temelli kullanımı için gelecekteki araştırmalara kuramsal bir zemin sunmaktadır.

Anahtar Kelimeler

Özel Yeteneklilik , Özel Yeteneklilerin Eğitimi , Üretken Yapay Zekâ , ChatGPT , Gemini

Kaynakça

• Abunaseer, H. (2023). The use of generative AI in education: Applications and impact. Technology and Curriculum: Summer 2023. https://pressbooks.pub/techcurr2023/chapter/the-use-of-generative-ai-in-education-applications-and-impact/
• Acar, O. A. (2024, February 19). We can reimagine education with generative AI — and the sky is the limit. Emerging Technologies. https://www.weforum.org/agenda/2024/02/with-generative-ai-we-can-reimagine-education-and-the-sky-is-the-limit/
• Akgun, S., & Greenhow, C. (2021). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI Ethics, 2, 431–440. https://doi.org/10.1007/s43681-021-00096-7
• Al-Shabatat, A. (2013). A review of the contemporary concepts of giftedness and talent. International Interdisciplinary Journal of Education, 2(12), 1336-1346. https://doi.org/10.12816/0002983
• Ambrose, D. (2022). The blunting of Occam’s razor: Omnicompetent reductionism distorting conceptions of giftedness. Gifted Education International, 38(3), 379–385. https://doi.org/10.1177/02614294211070651
• Baidoo-Anu, D., & Owusu Ansah, L. (2023). Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. Social Science Research Network, 7(1), 52–62. https://doi.org/10.61969/jai.1337500
• Barab, S. A., & Plucker, J. A. (2002). Smart people or smart contexts? Cognition, ability, and talent development in an age of situated approaches to knowing and learning. Educational Psychologist, 37(3), 165–182. https://doi.org/10.1207/S15326985EP3703_3
• Barbey, A. K., Colom, R., Paul, E., Forbes, C., Krueger, F., Goldman, D., & Grafman, J. (2014). Preservation of general intelligence following traumatic brain injury: Contributions of the Met66 brain-derived neurotrophic factor. PLoS One, 9(2), e88733. https://doi.org/10.1371/journal.pone.0088733
• Binet, A., & Simon, T. (1916). The development of intelligence in children (E. S. Kite, Trans.). Williams & Wilkins.
• Carman, C. A. (2013). Comparing apples and oranges: Fifteen years of definitions of giftedness in research. Journal of Advanced Academics, 24(1), 52–70. http://dx.doi.org/10.1177/1932202X12472602
• Carroll, J. B. (1993). Human cognitive abilities: A survey of factor-analytic studies. Cambridge University Press.
• Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Sage Publications.
• Dai, D. Y. (2017). Envisioning a new foundation for gifted education: Evolving complexity theory (ECT) of talent development. Gifted Child Quarterly, 61(3), 172–182. https://doi.org/10.1177/0016986217701837
• Dai D. (2020). Rethinking human potential from a talent development perspective. Journal for the Education of the Gifted, 43(1), 19–37. https://doi.org/10.1177/01623532198978
• Davis, G., Siegle, D., & Rimm, S. (1994). Education of the gifted and talented (7th ed.). Prentice-Hall.
• Dweck, C. S. (2006). Mindset: The new psychology of success. Ballantine.
• Feldhusen, J. F. (2005). Giftedness, talent, expertise, and creative achievement. In R. J. Sternberg & J. E. Davidson (Eds.), Conceptions of giftedness (pp. 64–79). Cambridge University Press.
• Gagné, F. (2004). Transforming gifts into talents: The DMGT as a developmental theory. High Ability Studies, 15(2), 119–147. https://doi.org/10.1080/1359813042000314682
• Gagné, F. (2005). From gifts to talents: The DMGT as a developmental model. In R. Sternberg & J. Davidson (Eds.), Conceptions of giftedness (2nd ed., pp. 98–119). Cambridge University Press.
• Gagné, F. (2015). Academic talent development programs: A best practices model. Asia Pacific Education Review, 16(2), 281–295. https://doi.org/10.1007/s12564-015-9366-9
• Galton, F. (1869). Hereditary genius: An inquiry into its law and consequences. Macmillan.
• Gardner, H. (2011). Frames of mind: The theory of multiple intelligences. Basic Books.
• Glaveanu, V., & Kaufman, J. C. (2022). Building off creativity to move from gifted to gifting. Gifted Education International, 38(3), 386–390. https://doi.org/10.1177/02614294211050149
• Glover, E. (2024). What is Google Gemini? https://builtin.com/articles/google-gemini
• Haenlein, M., & Kaplan, A. (2019). A brief history of Artificial Intelligence: On the past, present, and future of artificial intelligence. California Management Review, 61(4), 5–14. https://doi.org/10.1177/0008125619864925
• Halaweh, M. (2023). ChatGPT in education: Strategies for responsible implementation. Bastas.
• Hassabis, D. (2023). Introducing Gemini. https://blog.google/technology/ai/google-gemini-ai/#introducing-gemini
• Hetler, A. (2023). ChatGPT. https://www.techtarget.com/whatis/definition/ChatGPT
• Hill, W. D., Davies, G., Van De Lagemaat, L. N., Christoforou, A., Marioni, R. E., Fernandes, C. P., ... & Deary, I. J. (2014). Human cognitive ability is influenced by genetic variation in components of postsynaptic signalling complexes assembled by NMDA receptors and MAGUK proteins. Translational Psychiatry, 4, e341. https://doi.org/10.1038/tp.2013.114
• Hymer, B. J. (2012). An act of GRACE? What do contemporary understandings in psychology have to contribute to the future of gifted education? Gifted Education International, 29(2), 108–124. https://doi.org/10.1177/0261429412447707
• Kaufman, S. B., & Sternberg, R. J. (2008). Conceptions of giftedness. In S. I. Pfeiffer (Ed.), Handbook of giftedness in children (pp. 71-91). Springer Science+Business Media.
• Kooli, C. (2023). Chatbots in education and research: A critical examination of ethical implications and solutions. Sustainability, 15(7), 5614. https://doi.org/10.3390/su15075614
• Kuhail, M. A., Alturki, N., Alramlawi, S., & Alhejori, K. (2022). Interacting with educational chatbots: A systematic review. Education and Information Technologies, 28, 973–1018. https://doi.org/10.1007/s10639-022-11177-3
• Lo, C. K. (2023). What is the impact of ChatGPT on education? A rapid review of the literature. Educational Sciences, 13(4), 410. https://doi.org/10.3390/educsci13040410
• Lo, C. O., & Porath, M. (2017). Paradigm shifts in gifted education: An examination vis-à-vis its historical situatedness and pedagogical sensibilities. Gifted Child Quarterly, 61(4), 343–360. https://doi.org/10.1177/0016986217722840
• Lovecky, D. V. (2011). Exploring social and emotional aspects of giftedness in children. https://www.sengifted.org/post/exploring-social-and-emotional-aspects-of-giftedness-in-children
• Marland, S. P. (1972). Education of the gifted and talented. Report to the Congress of the United States by the U.S. Commissioner of Education. U.S. Government Printing Office.
• Matthews, D. J., & Foster, J. F. (2006). Mystery to mastery: Shifting paradigms in gifted education. Roeper Review, 28(2), 64-69. https://doi.org/10.1080/02783190609554340
• Mathew, A. (2023). Is artificial intelligence a world changer? A case study of OpenAI’s ChatGPT. Recent Progress in Science and Technology, 5, 35–42. https://doi.org/10.9734/bpi/rpst/v5/18240D
• Mijwil, M., Aljanabi, M., & Ali, A. H. (2023). ChatGPT: Exploring the role of cybersecurity in the protection of medical information. Mesopotamian Journal of Cybersecurity, 2023, 18-21. https://doi.org/10.58496/MJCS/2023/004
• Miller, E. M. (2013). Being gifted. In C. M Callahan & H. L. Hertberg-Davis (Eds.), Fundamentals of gifted education (pp. 49–55). Routledge.
• Milmo, D. (2023, February 2). ChatGPT reaches 100 million users two months after launch. The Guardian. Retrieved April 11, 2023, from https://www.theguardian.com/technology/2023/feb/02/chatgpt-100-million-users-open-ai-fastest-growing-app
• Monks, F. J., & Mason, E. J. (2000). development of gifted children: The issue of talent loss. In K. A. Heller, F. J. Monks, R. J. Sternberg, & R. F. Subotnik (Eds.), International handbook of giftedness and talent (2nd ed., pp. 527-536). Pergamon.
• OpenAI (2024, March 4). GPT-4 technical report. https://arxiv.org/pdf/2303.08774
• OpenAI. (2022, November 30). Introducing ChatGPT. https://openai.com/blog/chatgpt
• Paik, S. J., Gozali, C., & Marshall-Harper, K. R. (2019). Productive giftedness: A new mastery approach to understanding talent development. In R. F. Subotnik, S. G. Assouline, P. Olszewski-Kubilius, H. Stoeger, & A. Ziegler (Eds.), The Future of Research in Talent Development: Promising Trends, Evidence, and Implications of Innovative Scholarship for Policy and Practice. New Directions for Child and Adolescent Development, (Vol. 168, pp. 131–159). https://doi.org/10.1002/cad.20319
• Pedro, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development. UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000366994?posInSet=22&queryId=9d8ca6cf-6a26-4f09-9b10-5e339c0e75da
• Perera, P., & Lankathilake, M. (2023). Preparing to revolutionize education with the multi-model GenAI tool Google Gemini? A journey towards effective policy making. Journal of Advances in Education and Philosophy, 7(8), 246–253. https://doi.org/10.36348/jaep.2023.v07i08.001
• Pichai, S., & Hassabis, D. (2023, December 6). Introducing Gemini: Our largest and most capable AI model. Retrieved April 11, 2023, from https://blog.google/technology/ai/google-gemini-ai/#sundar-note
• Poole, D. L., & Mackworth, A. K. (2010). Artificial Intelligence: Foundations of computational agents (2nd ed.). Cambridge University Press. https://assets.cambridge.org/97811071/95394/frontmatter/9781107195394_frontmatter.pdf
• Renzulli, J. S. (2002). Expanding the conception of giftedness to include co-cognitive traits and to promote social capital. Phi Delta Kappan, 84(1), 33–58. https://doi.org/10.1177/003172170208400109
• Renzulli, J. S. (2005). The three-ring conception of giftedness: A developmental model for promoting creative productivity. In R. J. Sternberg & J. E. Davidson (Eds.), Conceptions of giftedness (2nd ed., pp. 246–279). Cambridge University Press.
• Renzulli, J. S. (2012). Reexamining the role of gifted education and talent development for the 21st century: A four-part theoretical approach. Gifted Child Quarterly, 56(3), 150–159. https://doi.org/10.1177/0016986212444901
• Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach. Pearson.
• Sak, U. (2023). Identification and education of students with gifts and talents based on the fuzzy conception of giftedness. Education Sciences, 13, 562. https://doi.org/10.3390/educsci13060562
• Schreier, M. (2012). Qualitative content analysis in practice. SAGE Publications.
• Shriner, J. G., Ysseldyke, J. E., Gorney, D., & Franklin, M. J. (1993). Examining prevalence at the ends of the spectrum: Giftedness and disability. Remedial and Special Education, 14(5), 33–39. https://doi.org/10.1177/074193259301400506
• Siegle, D. (2023). A Role for ChatGPT and AI in Gifted Education. Gifted Child Today, 46(3), 211-219. https://doi.org/10.1177/10762175231168443
• Silverman, L. K. (1997). The construct of asynchronous development. Peabody Journal of Education, 72(3–4), 36–58. https://doi.org/10.1080/0161956X.1997.9681865
• Stanley, J. C. (1974). Intellectual precocity. In J. C. Stanley, D. P. Keating, & L. H. Fox (Eds.), Mathematical talent: Discovery, description, and development (pp. 1–22). Johns Hopkins University Press.
• Stebbins, R. A. (2001). Exploratory research in the social sciences. Sage Publications.
• Sternberg, R. J. (2009). Wisdom, intelligence, creativity, synthesized: A model of giftedness. In T. Balchin, B. Hymer, & D. J. Matthews (Eds.), The Routledge International Companion to Gifted Education (pp. 255–264). Routledge.
• Sternberg, R. J. (2017). Developing giftedness and talent across the lifespan. Routledge.
• Sternberg, R. J., & Davidson, J. E. (2005). Conceptions of giftedness. Cambridge University Press.
• Sternberg, R. J., & Desmet, O. (2022). Introduction to terminological controversies in gifted education. Gifted Education International, 38(3), 345–353. https://doi.org/10.1177/02614294221117096
• Sternberg, R. J., & Karami, S. (2021). Gifted for whom? Individualism, dyadism, and collectivism in the definition of giftedness. Gifted Education International, 38(3), 391–396. https://doi.org/10.1177/02614294211052393
• Stoeger, H., Balestrini, D. P., & Ziegler, A. (2018). International perspectives and trends in research on giftedness and talent development. In S. Pfeiffer, M. Foley-Nicpon, & E. Shaunessy-Dedrick (Eds.), APA Handbook of Giftedness and Talent (pp. 25-37). American Psychological Association.
• Subotnik, R. F. (2003). A developmental view of giftedness: From being to doing. Roeper Review, 26(1), 14–15. https://doi.org/10.1080/02783190309554233
• Sutherland, M. (2012). Paradigmatic shift or tinkering at the edge? High Ability Studies, 23(1), 109–111. https://doi.org/10.1080/13598139.2012.679107
• Tanjga, M. (2023). E-learning and the Use of AI: A Review of Current Practices and Future Directions. Qeios. https://doi.org/10.32388/ap0208
• Terman, L. M., & Merrill, M. A. (1937). Measuring intelligence. Houghton Mifflin.
• Thurstone, L. L. (1938). Primary mental abilities. University of Chicago.
• Tirri, K. (2016). Holistic perspectives on gifted education for the 21st century. In D. Ambrose & R. J. Sternberg (Eds.), Giftedness and talent in the 21st century (pp. 101–110). Sense.
• Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Agyemang, B. (2023). What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learning Environments, 10(15), 1–20. https://doi.org/10.1186/s40561-023-00237-x
• Wang, T., Lund, B. D., Marengo, A., Pagano, A., Mannuru, N. R., Teel, Z. A., & Pange, J. (2023). Exploring the Potential Impact of Artificial Intelligence (AI) on International Students in Higher Education: Generative AI, Chatbots, Analytics, and International Student Success. Applied Sciences, 13(11), 6716. https://doi.org/10.3390/app13116716
• Zawacki-Richter, O., Marín, V. I., Bond, M., & 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(1), 1–27. https://doi.org/10.1186/s41239-019-0171-0
• Zhang, J. (2023). Impact of Artificial Intelligence on Higher Education from the Perspective of Its Application for Transformation. Lecture Notes in Education Psychology and Public Media, 2(1), 822–830. https://doi.org/10.54254/2753-7048/2/2022483
• Zhao, M., Kong, L., & Qu, H. (2014). A systems biology approach to identify intelligence quotient score-related genomic regions and pathways relevant to potential therapeutic treatments. Scientific Reports, 4(1), 4176. https://doi.org/10.1038/srep04176
• Zhu, Q., & Luo, J. (2022). Generative pre-trained transformer for design concept generation: An exploration. Proceedings of the Design Society, 2, 1825-1834. https://doi.org/10.48550/arXiv.2111.08489
• Ziegler, A. (2005). The actiotope model of giftedness. In R. J. Sternberg & J. E. Davidson (Eds.), Conceptions of giftedness (pp. 411–436). Cambridge University Press.
• Ziegler, A., & Phillipson, S. N. (2012). Toward a systemic theory of gifted education. High Ability Studies, 25(1), 3–30. https://doi.org/10.1080/13598139.2012.679085
• Ziegler, A., Stoeger, H., & Vialle, W. (2012). Giftedness and gifted education: The need for a paradigm change. Gifted Child Quarterly, 56(4), 194–197. https://doi.org/10.1177/0016986212456070