Design and Implementation of Tourism Teaching System Based on Artificial Intelligence Technology

Area of Science:

• Educational Technology
• Artificial Intelligence in Education
• Tourism Education

Background:

• Traditional tourism education faces limitations in resource sharing and personalized learning.
• The integration of network technology has transformed educational models and information dissemination.
• Artificial intelligence (AI) presents opportunities to optimize teaching and learning.

Purpose of the Study:

• To design and implement an AI-based tourism teaching system.
• To develop a personalized cognitive student model using AI and behavior analysis.
• To create an intelligent and personalized educational environment for tourism students.

Main Methods:

• Designing a web-based tourism teaching system.
• Developing a personalized cognitive student model based on AI and student behavior analysis.
• Utilizing expert and self-built question banks for student assessment.

Main Results:

• The system enables personalized learning experiences for students.
• AI integration enhances the quality of teaching and learning in tourism education.
• Student learning is assessed to inform future educational pathways.

Conclusions:

• AI-powered tourism teaching systems can effectively personalize education.
• The developed system offers a model for intelligent and adaptive learning environments.
• This approach addresses shortcomings of traditional educational methods in tourism.