Optimizing GPT Technology in Educational Administration: Strategies, Practices, and Action Research Insights

Mengchuan Wu.

DOI: https://doi.org/10.70114/ahmer.2024.1.1.P18

Keywords:

GPT technology, educational administration, AI applications, educational management challenges, educational innovation.

Abstract:

With the rapid advancement of information technology, artificial intelligence (AI) has shown broad application prospects across various fields, particularly in educational administration. GPT technology, with its powerful natural language processing and understanding capabilities, can enhance the efficiency of educational administration, optimize resource allocation, and promote managerial innovation. This study aims to explore the practical applications of GPT technology in educational administration through action research, analyzing its potential value and challenges, and proposing targeted solutions. The findings reveal significant benefits of GPT in course content creation, contributing to improved efficiency in educational administration. However, the study also identifies challenges such as the complexity of technical integration, data security and privacy issues, dependency and misuse risks, and technology acceptance. To address these challenges, this paper offers a series of detailed strategies and operational recommendations, providing evidence-based support and practical reference for educational administrators to promote intelligent and efficient development in educational management.