Construction of artificial intelligence-assisted English learning resource query system

Area of Science:

• Educational Technology
• Artificial Intelligence in Education
• Natural Language Processing

Background:

• English proficiency is crucial for global communication and China's international engagement.
• Traditional English learning methods often neglect autonomous learning habits.
• Existing resource retrieval systems may not effectively meet diverse learner needs.

Purpose of the Study:

• To construct an artificial intelligence-assisted English learning resource query system.
• To develop and implement a feedback mechanism for optimizing resource retrieval.
• To enhance the efficiency and relevance of English learning resources for users.

Main Methods:

• Knowledge point extraction from retrieval content.
• Knowledge-based query expansion for result enhancement.
• Implementation of a relevant feedback mechanism for result adjustment.
• Application of artificial intelligence techniques in system construction.

Main Results:

• Query expansion increased knowledge points by 2-4 times.
• Search results for learning resources expanded by 3-10 times.
• Overall recall of relevant resources was significantly improved.
• Demonstrated a positive impact of AI on system construction.

Conclusions:

• The developed AI system effectively expands English learning resource retrieval.
• The integrated feedback mechanism personalizes resource delivery.
• This approach enhances learning efficiency by providing needed resources.
• AI application shows promise for advancing educational resource systems.