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Contributions of AI-Supported 3D virtual instructors to educational processes: a study on the SozyAI Model

Year 2025, Volume: 13 Issue: 1, 33 - 52, 30.03.2025
https://doi.org/10.17478/jegys.1645454

Abstract

he rapid transformation in educational technologies has necessitated the integration of artificial intelligence-assisted systems into learning environments. This study examines the transformative impact of SozyAI, an advanced artificial intelligence model, on educational processes, documenting the paradigm shift in students' learning dynamics. Within this technologically restructured pedagogical landscape, the SozyAI model illuminates the evolution of traditional learning theories within artificial intelligence-supported educational environments. The research aims to reveal artificial intelligence technology's potential to enrich personalized learning experiences and evaluate the SozyAI model's multidimensional effects on students' knowledge acquisition rates, comprehension depths, and satisfaction levels. The study systematically addresses both conceptual and practical dimensions of AI integration in education, framing its theoretical approach through analysis of sociocultural implications for institutional structures and pedagogical identities. Regarding the research model employed, the study utilized a mixed-methods design integrating quantitative and qualitative approaches, with the participation of 11 conservatory students (4 male, 7 female, aged 19-23). The data collection process involved structured questionnaires, in-depth interviews, and systematic classroom observations, with SozyAI's effectiveness evaluated through dependent t-tests. The methodological framework incorporated AI-supported data collection tools and systematic integration of expert perspectives. The findings obtained demonstrated statistically significant improvements following SozyAI implementation: learning times decreased from 12.75 to 9.56 minutes, while correct answer rates increased from 68% to 88%. Qualitative findings revealed enhanced student engagement, simplified teaching of complex concepts, and reduced educator workload. In conclusion, despite limitations in handling abstract reasoning tasks, the research establishes AI-supported virtual instructors' potential to transform educational paradigms by optimizing teaching-learning processes at both classroom and systemic levels. Effect size measurements (Cohen's d values: 0.75 for learning speed, 1.02 for correct answer rates) confirm the pedagogical significance of the intervention, suggesting profound implications for educational practice and institutional frameworks.

Ethical Statement

This research was approved by the Scientific Research and Publication Ethics Committee of Afyon Kocatepe University, Social and Human Sciences, under decision number 2024/378.

Supporting Institution

No funding and support

Thanks

In this study, first and foremost, I would like to express my sincere gratitude to my wife and children, and then to my business partner Oz Folb, who has been with me at every stage of developing the Sozy AI assistant

References

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  • Danry, V., Pataranutaporn, P., Epstein, Z., Groh, M., & Maes, P. (2022). Deceptive AI systems that give explanations are just as convincing as honest AI systems in human-machine decision making.
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  • Shaik, T., Tao, X., Li, Y., Dann, C., McDonald, J., Redmond, P., & Galligan, L. (2022). A review of the trends and challenges in adopting natural language processing methods for education feedback analysis. IEEE Access, 10, 1-1. https://doi.org/10.1109/ACCESS.2022.3177752
  • Sekhavat, Y., Alizadeh, F., & Roohi, S. (2020). Investigating the effect of using a virtual instructor in an intelligent simulator of training traffic rules on the learning performance. Technology of Education Journal, 15(1), 161-172. https://doi.org/10.22061/tej.2020.6429.2396
  • Sierra Rativa, A., Vasquez, C., Martinez, F., Ramirez, W., Postma, M., & Zaanen, M. (2021). The effectiveness of a robot animal as a virtual instructor. In M. E. Auer & T. Tsiatsos (Eds.), Internet of Things, Infrastructures and Mobile Applications (pp. 329-338). Springer International Publishing. https://doi.org/10.1007/978-3-030-67411- 3_30
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  • Ubah, A. E., Onakpojeruo, E. P., Ajamu, J., Mangai, T. R., Isa, A. M., Ayansina, N. B., & Al-Turjman, F. (2022). A review of artificial intelligence in education. 2022 International Conference on Artificial Intelligence of Things and Crowdsensing (AIoTCs). IEEE. https://doi.org/10.1109/aiotcs58181.2022.00104
  • Walker, K. L., Bodendorf, K., Kiesler, T., de Mattos, G., Rostom, M., & Elkordy, A. (2022). Compulsory technology adoption and adaptation in education: A looming student privacy problem. Journal of Consumer Affairs, 57(1), 445-478. https://doi.org/10.1111/joca.12506
  • Yee, G. (2009). Security and privacy in distance education. In Encyclopedia of Distance Learning (2nd ed.). IGI Global. https://doi.org/10.4018/978-1-60566-198-8.ch272
  • Yee, G., Xu, Y., Korba, L., & El-Khatib, K. (2008). Privacy and security in e-learning. In Information Security and Ethics (pp. 174–190). IGI Global.
  • Tsinakos, A. (2006). Virtual instructor and pedagogical issues. In Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies (pp. 1123-1124). IEEE. https://doi.org/10.1109/ICALT.2006.1652654
  • Zawacki-Richter, O., Marín, V.I., Bond, M. et al. Systematic review of research on artificial intelligence applications in higher education – where are the educators?. Int J Educ Technol High Educ 16, 39 (2019). https://doi.org/10.1186/s41239-019-0171-0
  • Pi, Z., Deng, L., Wang, X., Guo, P., Xu, T., & Zhou, Y. (2022). The influences of a virtual instructor's voice and appearance on learning from video lectures. Journal of Computer Assisted Learning. https://doi.org/10.1111/jcal.12704

Year 2025, Volume: 13 Issue: 1, 33 - 52, 30.03.2025
https://doi.org/10.17478/jegys.1645454

Abstract

References

  • Bozkurt, A., Karadeniz, A., Baneres, D., Guerrero-Roldán, A. E., & Rodríguez, M. E. (2021). Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century. Sustainability, 13(2), 800. https://doi.org/10.3390/su13020800
  • Champion, E. (2006). Enhancing learning through 3D virtual environments. In D. Hung & M. S. Khine (Eds.), Engaged learning with emerging technologies (pp. 79-96). Springer. https://doi.org/10.4018/978-1-59140-971-7.ch005
  • Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264-75278. https://doi.org/10.1109/ACCESS.2020.2988510
  • Cluelabs. (2023). AI destekli sanal eğitmenlerin e-öğrenme deneyimlerini geliştirmedeki rolü. Erişim adresi: https://cluelabs.com/blog/ai-destekli-sanal-egitmenlerin-e-ogrenme-deneyimlerini-gelistirmedeki-rolu/
  • Dash, S., & Bhoi, C. (2024). Exploring the Intersection of Education and Artificial Intelligence: A Comprehensive Review. International Journal of Multidisciplinary Approach Research and Science, 2(02), 601–610. https://doi.org/10.59653/ijmars.v2i02.637
  • Mello, R.F., Freitas, E.L., Pereira, F.D., Cabral, L.D., Tedesco, P., & Ramalho, G. (2023). Education in the age of Generative AI: Context and Recent Developments. ArXiv, abs/2309.12332.
  • Panzoli, D. et al. (2010). A Level of Interaction Framework for Exploratory Learning with Characters in Virtual Environments. In: Plemenos, D., Miaoulis, G. (eds) Intelligent Computer Graphics 2010. Studies in Computational Intelligence, vol 321. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15690-8_7
  • Hovestadt, L., Hirschberg, U., & Fritz, O. (Eds.). (2020). Atlas of digital architecture: Terminology, concepts, methods, tools, examples, phenomena. Birkhäuser. https://doi.org/10.1515/9783035620115
  • Karakozov, S., & Samokhvalova, E. (2024). Concept of using information support systems for students based on artificial intelligence. Prepodavatel XXI vek, 1(1), 19-36. https://doi.org/10.31862/2073-9613-2024-1-19-36
  • Krstić, L., Aleksić, V., & Krstić, M. (2022). Artificial intelligence in education: A review. In Proceedings of the 13th International Conference on TIE Teaching in Information Age (pp. 223-228). https://doi.org/10.46793/TIE22.223K
  • Kumar, P. C., Chetty, M., Clegg, T. L., & Vitak, J. (2019). Privacy and security considerations for digital technology use in elementary schools. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (pp. 1-13). Association for Computing Machinery. https://doi.org/10.1145/3290605.3300537
  • Lin, N. H., Korba, L., Yee, G., Shih, T. K., & Lin, H. W. (2006). Security and privacy technologies for distance education applications. In Proceedings of the International Conference on Information Technology: Research and Education (pp. 580-585). IEEE.
  • Mallik S, Gangopadhyay A. Proactive and reactive engagement of artificial intelligence methods for education: a review. Front Artif Intell. 2023 May 5;6:1151391. doi: 10.3389/frai.2023.1151391. PMID: 37215064; PMCID: PMC10196470.
  • Mayes, R. J., Natividad, G., & Spector, J. (2015). Challenges for educational technologists in the 21st century. Education Sciences, 5(3), 221-237. https://doi.org/10.3390/educsci5030221
  • Danry, V., Pataranutaporn, P., Epstein, Z., Groh, M., & Maes, P. (2022). Deceptive AI systems that give explanations are just as convincing as honest AI systems in human-machine decision making.
  • Podmore, R., Robinson, M., Sadinsky, M., & Sease, R. (2008). A virtual instructor for simulator training. IEEE Power and Energy Society General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century. https://doi.org/10.1109/PES.2008.4596277
  • Rabeya, M., Mahmud, M. S., Johora, S., & Sattar, A. (2022). A comparison of the application of artificial intelligence in the educational system. 2022 International Conference on Emerging Technologies for Computing and Electronics (ETCEA), 1-6. https://doi.org/10.1109/ETCEA57049.2022.10009813
  • Shaik, T., Tao, X., Li, Y., Dann, C., McDonald, J., Redmond, P., & Galligan, L. (2022). A review of the trends and challenges in adopting natural language processing methods for education feedback analysis. IEEE Access, 10, 1-1. https://doi.org/10.1109/ACCESS.2022.3177752
  • Sekhavat, Y., Alizadeh, F., & Roohi, S. (2020). Investigating the effect of using a virtual instructor in an intelligent simulator of training traffic rules on the learning performance. Technology of Education Journal, 15(1), 161-172. https://doi.org/10.22061/tej.2020.6429.2396
  • Sierra Rativa, A., Vasquez, C., Martinez, F., Ramirez, W., Postma, M., & Zaanen, M. (2021). The effectiveness of a robot animal as a virtual instructor. In M. E. Auer & T. Tsiatsos (Eds.), Internet of Things, Infrastructures and Mobile Applications (pp. 329-338). Springer International Publishing. https://doi.org/10.1007/978-3-030-67411- 3_30
  • STM ThinkTech. (2023). Eğitimde yapay zekâ teknolojileri. https://thinktech.stm.com.tr/uploads//docs/2023-yili-pdf- leri/1703574735_stmegitimdeyapayzekateknolojileri.pdf
  • Ubah, A. E., Onakpojeruo, E. P., Ajamu, J., Mangai, T. R., Isa, A. M., Ayansina, N. B., & Al-Turjman, F. (2022). A review of artificial intelligence in education. 2022 International Conference on Artificial Intelligence of Things and Crowdsensing (AIoTCs). IEEE. https://doi.org/10.1109/aiotcs58181.2022.00104
  • Walker, K. L., Bodendorf, K., Kiesler, T., de Mattos, G., Rostom, M., & Elkordy, A. (2022). Compulsory technology adoption and adaptation in education: A looming student privacy problem. Journal of Consumer Affairs, 57(1), 445-478. https://doi.org/10.1111/joca.12506
  • Yee, G. (2009). Security and privacy in distance education. In Encyclopedia of Distance Learning (2nd ed.). IGI Global. https://doi.org/10.4018/978-1-60566-198-8.ch272
  • Yee, G., Xu, Y., Korba, L., & El-Khatib, K. (2008). Privacy and security in e-learning. In Information Security and Ethics (pp. 174–190). IGI Global.
  • Tsinakos, A. (2006). Virtual instructor and pedagogical issues. In Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies (pp. 1123-1124). IEEE. https://doi.org/10.1109/ICALT.2006.1652654
  • Zawacki-Richter, O., Marín, V.I., Bond, M. et al. Systematic review of research on artificial intelligence applications in higher education – where are the educators?. Int J Educ Technol High Educ 16, 39 (2019). https://doi.org/10.1186/s41239-019-0171-0
  • Pi, Z., Deng, L., Wang, X., Guo, P., Xu, T., & Zhou, Y. (2022). The influences of a virtual instructor's voice and appearance on learning from video lectures. Journal of Computer Assisted Learning. https://doi.org/10.1111/jcal.12704
There are 28 citations in total.

Details

Primary Language English
Subjects Curriculum Development in Education
Journal Section Research Article
Authors

Seyhan Canyakan 0000-0001-6373-4245

Submission Date February 23, 2025
Acceptance Date March 28, 2025
Early Pub Date March 29, 2025
Publication Date March 30, 2025
Published in Issue Year 2025 Volume: 13 Issue: 1

Cite

APA Canyakan, S. (2025). Contributions of AI-Supported 3D virtual instructors to educational processes: a study on the SozyAI Model. Journal for the Education of Gifted Young Scientists, 13(1), 33-52. https://doi.org/10.17478/jegys.1645454