Design and Application Analysis of AI Assistant for High School English Exam Propositioning

Abstract

This study explores the application and design of AI chatbot in high school English exam propositioning. The research developed an AI propositioning assistant system based on dialogue interaction, aiming to address challenges such as time intensity and resource consumption faced by teachers in preparing English reading comprehension test items. The system achieves efficient automatic test item generation through an "example learning" approach, combined with deep analysis of sample test questions provided by teachers.

Research findings indicate that the AI system demonstrates significant advantages in accuracy, speed, and adaptability of test item generation. However, the study also identifies areas for improvement in curriculum system understanding, difficulty control, and innovation balance. Through establishing scientific grading standards and continuous data-driven optimization, the system shows promising development potential.

This research provides an innovative example of AI application in education, not only improving teaching assessment efficiency but also offering new research directions for future educational technology development.