Promoting Teaching and Learning through the Application of Artificial Intelligence Technology in Higher Education Management in the Dimension of Local Cultural Development
Abstract
The application of artificial intelligence (AI) in higher education management in local cultural development improves efficiency by automating administrative tasks, improving resource allocation, and improving student support systems. It also enables informed decision-making, ensuring personalized learning experiences and better academic performance. Therefore, this study aimed to study the promotion of teaching and learning by applying AI technology in higher education management in the dimension of local cultural development. This study examined academic literature on AI that can be applied to learning management and education management in the dimension of local cultural development. The results of the study found that the use of AI in education is transforming the learning system by emphasizing privacy and flexibility through adaptive learning platforms, intelligent tutoring systems, and student data analytics, which help students receive content that is appropriate for their abilities and needs. AI is also being used in education management, such as automated grading systems, student support via chatbots, and resource allocation within universities, resulting in greater efficiency, reduced teacher workload, and easier access for students to information. However, the challenges of AI in education include ethical issues, data privacy, and algorithmic bias, which may lead to inequities in access to education. Strict governance and transparent and fair AI system design are needed to ensure that the benefits of technology are universal and sustainable. In addition, through digitization, individualized learning systems, and cultural diversity, artificial intelligence (AI) in higher education plays a vital role in preserving and advancing local cultures by improving community engagement and addressing ethical issues to ensure sustainable and equitable technological integration. In conclusion, AI in education can improve personalized learning and enhance administrative efficiency through automation, but it still faces ethical challenges and equity in access to information, which requires appropriate governance measures.
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