Acta Scientific Computer Sciences

Research Article Volume 5 Issue 10

Investigating the Productivity of the Integration of AI in the Pakistani Educational System Centering ChatGPT

Muhammad Hamza Khan*

Sciecne Group, Beacon House School System, Pakistan

*Corresponding Author: Muhammad Hamza Khan, Sciecne Group, Beacon House School System, Pakistan.

Received: September 12, 2023; Published: September 30, 2023

Abstract

Artificial Intelligence (AI) is a burgeoning global technology with far-reaching implications across diverse industries, including education. Pakistan's educational system is at a crossroads, necessitating the integration of AI, notably through the use of ChatGPT, to enhance its effectiveness. This study undertakes a quantitative exploration of ChatGPT's impact on the Pakistani educational landscape, involving a cohort of 50 students and teachers. Through a rigorous comparative analysis, the aim is to decipher how ChatGPT influences the educational system. This research focuses on quantifiable data, encompassing student performance metrics, learning outcomes, and administrative efficiencies. By scrutinizing these data points, we seek to provide empirical evidence of ChatGPT's potential to catalyze positive change within Pakistan's education sector. As the world advances toward an AI-driven future, comprehending the tangible effects of AI technologies on education is pivotal. This study aspires to furnish valuable insights that will inform educational stakeholders and policymakers about the benefits and challenges of integrating ChatGPT, thereby facilitating informed decision-making for the future of Pakistani education.

Keywords: Education; ChatGPT; Comparative Analysis; Survey; Machine Learning in Education

References

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Citation

Citation: Muhammad Hamza Khan. “Investigating the Productivity of the Integration of AI in the Pakistani Educational System Centering ChatGPT".Acta Scientific Computer Sciences 5.10 (2023): 32-37.

Copyright

Copyright: © 2023 Muhammad Hamza Khan. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




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