%0 Journal Article
%T 人工智能在大学物理教学中的应用<br>The Application of Artificial Intelligence in College Physics Teaching
%A 姜涛
%A 孙艳
%A 于华民
%J Creative Education Studies
%P 423-430
%@ 2331-804X
%D 2024
%I Hans Publishing
%R 10.12677/ces.2024.125304
%X 在人工智能(AI)技术大发展的背景下，结合当前大学物理教学中存在的问题，本文提出了基于AI的研究式物理教学方式：结合开源科学数据，利用AI进行数据分析、推导、知识补全、文献解读和物理规律探索，直接开展前沿科学研究；运用AI系统及时反馈学生学习状态、解答问题并统计学习情况。基于OBE教学理念给出了研究式物理教学的教学过程设计。基于AI的研究式物理教学具有多重优点，有助于提高学生的科研能力、团队协作能力，并最大限度地发挥自身特长。结合最新研究成果对研究式物理教学中的问题与挑战，比如AI工具的学习成本、研究课题选择、使用AI的监管问题、考核方式、在教学中对AI的认知、辅助措施等进行了分析。<br />
In the context of the significant development of artificial intelligence (AI) technology, coupled with the existing issues in current university physics teaching, this paper proposes an AI-based research-oriented physics teaching method. This approach integrates open-source scientific data and utilizes AI for data analysis, deduction, knowledge supplementation, literature interpretation, and exploration of physical laws, enabling direct participation in cutting-edge scientific research. Meanwhile, AI systems are employed to promptly provide feedback on students’ learning status, answer questions, and collect learning data. Based on the OBE (Outcome-Based Education) teaching philosophy, the teaching process design for research-oriented physics teaching is outlined. AI-based research-oriented physics teaching possesses numerous advantages, which help enhance students’ research capabilities and team collaboration skills, and maximize their individual strengths. Combining the latest research findings, this paper analyzes the issues and challenges in research-oriented physics teaching, such as the learning cost of AI tools, the selection of research topics, the supervision of AI usage, assessment methods, the understanding of AI in teaching, and supporting measures.
%K 人工智能，物理教学(研究式)，教学设计<br>Artificial Intelligence
%K Physics Teaching (Research-Based)
%K Teaching Design
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=86529