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Original Article

AI-Play Ground: Empowering Kids to Build and Understanding Ml Apps

Dr.D Kirubha1 Ruthika M2 Sharvari U3 Rohini S4 Sahana V5
1 HOD, Department of Computer Science Engineering, RajaRajeswari college of Engineering, Bengaluru, Karnataka, India. 2 3 4 5 Department of Computer Science Engineering, RajaRajeswari college of Engineering, Bengaluru, Karnataka, India.

Published Online: November-December 2025

Pages: 208-211

References

1. C. G. von Wangenheim, J. C. Hauck, F. S. Pacheco, and M. F. B. Bueno, “Visual tools forteachingmachinelearninginK-12: Aten-yearsystematicmapping,” Educ. Inf. Technol., vol. 26, pp. 5733–5778, 2021.
2. R. M. Martins, C. G. von Wangenheim, M. F.
3. Rauber, and J. C. Hauck, “Machine learning for all!—Introducing machine learning in middle and high school,” Int. J. Artif. Intell. Educ., vol. 34, pp. 185–223, 2023..
4. S. Jatzlau, T. Michaeli, S. Seegerer, and R. Romeike, “It’s not magic after all—Machine learning in Snap! Using reinforcement learning,” in Proc. IEEE Blocks Beyond Workshop, Memphis, TN, USA,2019, pp. 37–41. Kahn and N. Winters, “Child-friendly programming interfaces to AI cloud services,” in Proc. Data Driven Approachesin Digit. Educ., É.Lavoué, H. Drachsler, K. Verbert, J. Broisin, and M. Pérez-Sanagustín, Eds. Cham, Switzerland: Springer, 2017, pp. 566–570
5. J. A. Fails, M. L. Guha, and A. Druin, “Methods and techniques for involving children in the design of new technology for children,”Found. Trends Human-Comput. Interact. vol. 6, no. 2, pp. 85 166, 2013.
6. M. Shahin, M. Ali Babar, and L. Zhu, “Continuous integration, delivery and deployment: A systematic review on approaches, tools, challenges and practices,” IEEE Access, vol. 5, pp. pp. 3909 3943, 2017

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