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.
3D virtual instructor Artificial Intelligence Educational technologies Personalized education Student performance
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.
No funding and support
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
| Primary Language | English |
|---|---|
| Subjects | Curriculum Development in Education |
| Journal Section | Research Article |
| Authors | |
| 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 |