The Opportunities and Challenges of Artificial Intelligence (AI) Application in China’s Public Education System
DOI: https://doie.org/10.0905/Fls.2024646284
Authors:Wang Ruizhe, Jenny Chen Jie, Albattat Ahmad
Keywords:
investigate, Artificial Intelligence (AI), opportunities, challenges, application, education, China's public and technology.
Abstract:
Purpose: The purpose of this study is to examine the opportunities and challenges of AI application in education with a particular focus on China's public education system. The study aims to investigate the level of awareness and understanding of AI technology among Chinese students, teachers, and policymakers, and their perceptions of AI technology's potential benefits and limitations in education. The study also seeks to explore the current state of AI application in China's public education system and identify the challenges and opportunities for its successful integration.
Theoretical framework: This study focused on the opportunities and challenges of AI Application in Education sector of China. The use of Artificial Intelligence (AI) in education has been increasing in recent years, and it has become an essential part of many educational institutions globally.
Design/methodology/approach: The study adopts a mixed-methods research approach, combining quantitative and qualitative data collection and analysis techniques. The study's quantitative phase involves the administration of a survey questionnaire to a sample of students, teachers, and policymakers in China's public education system. The questionnaire consists of questions that seek to assess respondents' knowledge and understanding of AI technology and its application in education, their attitudes towards AI technology in education, and their perceptions of the benefits and limitations of AI technology in education. The questionnaire also collects demographic data such as age, gender, educational background, and work experience. As a quantitative research instrument, a survey of online purchasing consumers in China will be used. The SPSS measurable programming is likewise used.
Findings: The findings of this study suggest that there is a positive relationship between the use of intelligent tutors, tutees, learning tools/partners, and policy-making advisors with artificial intelligence.
Research, Practical & Social implications: the present study offers several recommendations for future research, policy, and practice related to the use of social media and its impact on mental health.
Originality/value: there is a need for further research to explore the potential benefits and limitations of using intelligent tutoring systems in the teaching and learning process. This can be achieved by conducting longitudinal studies to examine the impact of intelligent tutoring systems on students’ academic performance over an extended period of time. The potential benefits and limitations of using intelligent tutees in the teaching and learning process. Future studies could explore the extent to which intelligent tutees can enhance the effectiveness of the traditional tutoring process and investigate the optimal conditions for the successful implementation of intelligent tutees.
