生成式人工智能影响下的心理学实验教学：现状、改进与展望
Psychological Experiment Teaching under the Influence of Generative Artificial Intelligence: Current Status, Improvement, and Prospects

生成式人工智能的快速发展为心理学实验教学带来新的机遇与挑战。本文讨论生成式人工智能影响下心理学实验教学的现状、改进路径及未来展望。当前，心理学实验教学面临实验资源受限与创新能力培养不足的困境，而人工智能具备辅助开发实验教学内容、个性化支持自主创新实验的能力，能够有效缓解“实验难”与“创新难”问题。未来，需进一步建立以引导和启发为主的“实验心理学”教学垂直大模型，打造“提出任务”–“人机协同”–“批判创新”的心理学实验教学新模式，为培养适应人工智能时代的创新型心理学人才提供支撑。
The rapid development of Generative Artificial Intelligence (GenAI) has introduced both opportunities and challenges to experimental psychology education. This paper discusses the current status, reform, and future direction of psychology experimental teaching under the influence of GenAI. Currently, psychological experiment teaching faces the dilemmas of limited experimental resources and insufficient cultivation of innovative abilities. In contrast, artificial intelligence (AI) has the capability to assist in the development of experimental teaching content and to provide personalized support for independent and innovative experiments. This can effectively alleviate the problems of “difficulty in conducting experiments” and “difficulty in fostering innovation”. In the future, it is imperative to establish domain-specific large language models for experimental psychology education, focusing on guidance and inspiration. This effort should aim to create a novel teaching framework characterized by “task proposal-human-AI collaboration-critical innovation”, ultimately supporting the cultivation of innovative psychology talent equipped to thrive in the era of artificial intelligence.