人工智能赋能教学方式方法研究

Study on Approaches and Methods for AI-Enabled Teaching

摘要: 随着人工智能技术的快速发展，人工智能的应用在各行各业日益广泛，教育领域也不例外。本文聚焦人工智能(Artificial Intelligence，简称AI)赋能教学的应用模式，探索AI赋能教学的方式方法，具体研究了智能助学、智能助教、智能实验、智能批改及智能评价等AI辅助教学方法，并将其应用到实际数据结构课程教学中进行实践论证，对比分析了AI赋能教学后学生学习数据结构课程的目标达成情况。结果表明，人工智能辅助教学不但能够提升教学效果，还能在很大程度上减轻教师负担，为学生提供个性化学习环境，促进学生能力的培养。

Abstract: With the rapid development of artificial intelligence (AI) technology, the application of AI has become increasingly widespread across various industries, as well as in the field of education. This paper focuses on application models of AI-enabled teaching, exploring the methods and approaches through which AI empowers teaching. Specifically. The AI-assisted teaching methods are investigated which include intelligent student assistance, intelligent teaching assistance, intelligent experimentation, intelligent grading, and intelligent evaluation. These methods were applied and empirically validated in the data structures course and a comparative analysis was conducted on the learning outcomes. The results indicate that AI-assisted teaching not only enhances teaching effectiveness but also significantly reduces the burden on teachers. AI-assisted teaching also provides students with personalized learning environments, and promotes the cultivation of student competencies.