AI赋能心理统计学的“三维一体”教学改革模型构建

Construction of a “Three-Dimensional Integrated” Teaching Reform Model for Psychological Statistics Empowered by AI

摘要: 心理统计学作为心理学专业的基础，其教学存在内容抽象和理论与应用脱节的教学困境，人工智能技术为克服这些难题提供了可能性。本研究系统梳理了心理统计学教学中遇到的挑战，结合人工智能在教学中的优势，构建了面向教学内容、教学方式与教学评价的AI赋能心理统计学“三维一体”教学改革模型，通过整合教学内容、创新教学方法、拓展教学场景、优化教学评价机制等路径，推动心理统计学教学创新，为心理学及相关学科的统计课程改革提供参考。

Abstract: As a foundational course for psychology majors, psychological statistics faces teaching dilemmas such as abstract content and the disconnection between theory and application. Artificial intelligence (AI) technology offers possibilities to address these challenges. This study systematically sorts out the difficulties encountered in the teaching of psychological statistics, and combines the advantages of AI in education to construct a “three-dimensional integrated” teaching reform model of AI-empowered psychological statistics, which covers teaching content, teaching methods, and teaching evaluation. By integrating teaching content, innovating teaching approaches, expanding teaching scenarios, and optimizing teaching evaluation mechanisms, this model promotes the teaching innovation of psychological statistics and provides a reference for the reform of statistical courses in psychology and related disciplines.