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AI赋能实验心理学课程教学的路径探索与实践

Path Exploration and Practice of AI-Powered Teaching in Experimental Psychology Courses

Education Study / 2025,7(7): 798-803 / 2025-07-28 19 9

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• Authors: 陈艾睿 苏好茹 陈翠
• Information:

  苏州科技大学教育学院，苏州

• Keywords:
  Experimental psychology; Artificial intelligence; Critical thinking; Instructional reform
  实验心理学; 人工智能; 批判性思维; 教学改革
• Abstract: In the context of the rapid development of artificial intelligence, the use of AI tools to enhance students’ critical thinking in experimental psychology courses has become an important issue for teaching reform. Based on the course Experimental Psychology (II), this study constructed a collaborative teaching model of AI with Prompt guidance as the core, integrated generative AI into the three modules of theoretical teaching, experimental implementation, and experimental report writing, and designed Prompt tasks with reusability, guidance, and extensibility to promote students’ depth of thinking and expression in experimental design, data analysis, and interpretation of results. AI optimized the structure and logical presentation of the report, facilitating students’ transition from operational execution to model building and theoretical reflection. Students also demonstrated greater problem awareness and metacognitive regulation. This study provides an actionable practical paradigm for experimental psychology courses reform, as well as empirical support and methodological insights for the intelligent transformation of cognitive courses. 在人工智能迅速发展的背景下，借助AI工具提升学生在实验心理学课程中的批判性思维，成为教学改革的重要议题。基于“实验心理学（二）”课程，本研究构建了以Prompt引导为核心的AI协同教学模型，将生成式人工智能融入理论教学、实验实施与实验报告撰写三个模块，设计具备可复用性、引导性与拓展性的Prompt任务，以促进学生在实验设计、数据分析与结果解释中的思维深度与表达质量。AI的引入优化了报告的结构与逻辑表达，促进学生从操作性执行向模型构建与理论反思的转变，学生也表现出更强的问题意识与元认知调控能力。本研究为实验心理学课程改革提供了可操作的实践范例，也为认知型课程的智能化转型提供了实证支持与方法论启示。
• DOI: https://doi.org/10.35534/es.0707151
• Cite: 陈艾睿，苏好茹，陈翠．AI赋能实验心理学课程教学的路径探索与实践［J］．教育研讨，2025，7（7）：798-803．