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AI背景下“心理统计学”课程培养核心能力的转变思考

AI-Driven Transformation of Core Competencies in Psychological Statistics

教育研讨 / 2024,6(6)：1877-1881 / 2025-01-03 31 34

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• 作者： 董波      加依娜古丽·巴克尔     
• 单位：

  苏州科技大学教育学院心理系，苏州

• 关键词： 心理统计学；数据洞察能力；人工智能；核心能力
• Psychological statistics; Data insight capability; Artificial intelligence; Core competencies
• 摘要： 本文探讨了在人工智能技术迅速发展的背景下，“心理统计学”课程所面临的新挑战与机遇。“心理统计学”的历史发展离不开统计学和实证主义心理学方法的推动，而其未来发展则需拥抱新技术，特别是人工智能技术在理解人类心理和行为规律中的潜力。文章以苏州科技大学为例，阐述“心理统计学”课程目标从传统的原理技能培养向培养数据洞察能力的转变，分析其在教学中的深刻变化。本文旨在为“心理统计学”在新时代的发展提供思路，推动心理学人才培养迈向新的高度。
• This paper explores the new challenges and opportunities facing psychological statistics courses against the backdrop of rapidly developing artificial intelligence technology. The historical development of psychological statistics has been inseparable from the advancement of statistics and empirical psychological methods, while its future development requires embracing new technologies, particularly the potential of artificial intelligence in understanding human psychological and behavioral patterns. Taking Suzhou University of Science and Technology as an example, this paper illustrates the transformation of psychological statistics course objectives from traditional principle and skill training to cultivating data insight capabilities, analyzing its profound changes in teaching. This paper aims to provide insights for the development of psychological statistics in the new era and promote psychological talent cultivation to new heights.
• DOI： https://doi.org/10.35534/es.0606278
• 引用： 董波，加依娜古丽·巴克尔．AI背景下“心理统计学”课程培养核心能力的转变思考［J］．教育研讨，2024，6（6）：1877-1881．