人工智能在高中英语听力命题中的应用研究

Research on the Application of Artificial Intelligence in High School English Listening Test Design

摘要: 随着人工智能技术的飞速发展，其在教育领域的应用日益广泛和深入。人工智能技术在英语听力方面的研究多集中在口语测试方面，因此开展人工智能在高中英语听力命题的应用研究是有必要的。本实验分别采用传统人工和人工智能设计的听力短对话试题进行测试，再对比分析这两者的难度和区分度指标。结果表明，人工智能生成的题目在区分度上略低于命题组设计的试题，整体区分度尚可，但人工智能在题目难度的设计上偏难，难度也存在两极分化的情况。本研究为人工智能技术赋能英语听力试题的设计提供了实践依据和优化方向。

Abstract: With the rapid development of artificial intelligence (AI) technology, its application in the field of education has become increasingly widespread and in-depth. Research on AI technology in English listening comprehension has predominantly focused on oral testing. Therefore, it is necessary to conduct research on the application of AI in generating English listening test items for high schools. In this experiment, tests were conducted using short-dialogue listening items designed by traditional methods and by AI, respectively. A comparative analysis of the difficulty and discrimination indices of these two sets of items was then performed. The results show that the AI-generated items had a slightly lower discrimination level than those designed by the human test-setting group, although the overall discrimination was acceptable. However, the AI tended to design items that were overly difficult, and their difficulty levels also showed a pattern of polarization. This study provides empirical evidence and directions for optimization for the AI-empowered design of English listening test items.