Research Hypothesis Codes and Descriptions.

This study investigates the impact of AI-enabled teaching devices on educational equity, focusing on the differences in their effectiveness between economically developed and underdeveloped regions in China, particularly along the Hu Huanyong Line. The research aims to assess whether AI devices can enhance educational outcomes and promote equity in regions with limited resources. Using a mixed-methods approach, the study involved a comparative analysis of eight schools across four cities on both sides of the Hu Huanyong Line. Data were collected through an online questionnaire survey of 247 teachers and an analysis of 620 student exam scores. The findings indicate that AI devices significantly improved teaching effectiveness in economically underdeveloped regions, with an average improvement of 7% to 20% in student performance. The study also revealed that while teachers in underdeveloped regions were generally positive about AI devices, they faced challenges in integrating the technology into their teaching practices due to insufficient familiarity and lack of support mechanisms. The results highlight the potential of AI technology to bridge educational gaps and promote equity by providing high-quality educational resources to under-resourced areas. However, the study emphasizes the need for comprehensive support measures, including teacher training and improved infrastructure, to ensure sustainable educational development. Future research should focus on long-term trends in educational resource investment and the development of culturally appropriate AI devices to further enhance educational equity and sustainable development.

本研究考察人工智能（AI）赋能教学设备对教育公平的影响，重点分析其在中国经济发达与欠发达地区——尤其是胡焕庸线（Hu Huanyong Line）两侧——的应用效果差异。本研究旨在评估人工智能设备能否在资源有限地区提升教育教学成效、推动教育公平。本研究采用混合研究方法，对胡焕庸线两侧四座城市的八所学校开展对比分析。研究通过面向247名教师的在线问卷调查，以及对620名学生考试成绩的统计分析完成数据采集。研究结果表明，人工智能设备可显著提升经济欠发达地区的教学有效性，学生学业表现平均提升7%至20%。研究同时发现，尽管欠发达地区教师对人工智能设备整体持积极态度，但因技术熟悉度不足、配套支持机制缺失，他们在将技术融入日常教学实践时仍面临诸多挑战。本研究结果凸显了人工智能技术通过向资源匮乏地区输送优质教育资源，以弥合教育鸿沟、推动教育公平的潜力。但研究同时强调，需构建包含教师培训与基础设施升级在内的综合支持措施，方能保障教育的可持续发展。未来研究可聚焦教育资源投入的长期趋势，以及适配本土文化的人工智能设备开发，以进一步深化教育公平与可持续发展目标的实现。