体验式学习
安德拉格学
能力(人力资源)
自治
课程
知识管理
生成语法
心理学
计算机科学
社会学
工程伦理学
教育学
人工智能
政治学
工程类
成人教育
社会心理学
法学
作者
Steven J. Hyde,Antoine Busby,Robert L. Bonner
标识
DOI:10.1177/10525629241230357
摘要
This essay examines strategies for thoughtfully integrating generative AI (Gen-AI) into management curricula to enhance student learning while mitigating risks like overreliance. We make the case that outright resistance is counterproductive; instead, management educators should embrace Gen-AI’s potential to create more engaging, experiential learning aligned with andragogical principles. We provide a conceptual framework mapping nine Gen-AI objectives to the principles of andragogy. A semester-long course example illustrates this framework in action through AI activities fostering autonomy, competence, and real-world application. Student surveys revealed overwhelmingly positive perceptions of Gen-AI integration and improved exam scores. However, dependence risks remain. The essay discusses strategies to enhance critical thinking, personal growth, and academic integrity. Overall, we propose that prudent Gen-AI adoption can enrich management education, but long-term vigilance regarding overreliance is vital.
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