Application of Gaussian Minimization in Ai-Based Three-Dimensional Computer Education for Stakeholders

Authors

  • Arya Sathyan Assistant Professor, Computer Applications, Administrative Management College, AMC, Bengaluru, Karnataka, India
  • T. Pratyusha Associate Professor, CSE Department, CMR Institute of Technology, Hyderabad, India
  • Malsawmtluangi Vanchhawng Research Scholar, Department of Education, Mizoram University, Mizoram, India
  • Shaik Sadaf Tabassum B.Tech (IT) Final Year Student, G.Narayanamma Institute of Technology and Sciences (Autonomous), JNTU, Hyderabad, India
  • Pratibh Research Scholar, SS International School, Lucknow, Uttar Pradesh, India
  • Jilani Sayyad Professor, Department of Computer Science and Engineering (AI & ML), M.H. Saboo Siddik College of Engineering, Mumbai, Maharashtra, India

Keywords:

3D Education; AI; Technology; Stakeholders; Student; Teacher

Abstract

The rapid advancement of technology has driven the incorporation of artificial intelligence (AI) into educational frameworks, fundamentally transforming conventional methods of learning. In addition to accepting the information supplied by the AI- education provider, educational stakeholders must also independently comprehend the underlying pedagogical qualities that drive AI based 3D education. The main goal is to enhance the immersive learning experience, promoting increased involvement and comprehension among students, instructors, and other stakeholders. This study employs a qualitative research methodology, the issues that these stakeholders have about AI’s ethics in 3D education were identified with the use of interviews and participant observation as the primary techniques of data collection. This article intends to offer the curriculum along with teaching techniques of 3D printing that can be fruitfully used in public education courses, per the findings of this study. Education serves as a preparing measure for the future micro-manufacturing sector. 

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References

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Published

07.01.2024

How to Cite

Sathyan, A. ., Pratyusha, T. ., Vanchhawng, M. ., Tabassum, S. S. ., Pratibh, P., & Sayyad, J. . (2024). Application of Gaussian Minimization in Ai-Based Three-Dimensional Computer Education for Stakeholders. International Journal of Intelligent Systems and Applications in Engineering, 12(10s), 21–26. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4345

Issue

Vol. 12 No. 10s (2024)

Section

Research Article

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