一个团队合作框架,以防止违反学术诚信和提高学生的协作技能在AI时代的AI时代
1School of Management and Marketing, Faculty of Business and Law, Curtin University, Perth, WA, Australia.
Heliyon
|October 22, 2024
概括
商业项目管理中的一个新的团队合作框架减少了生成性AI滥用和学术不当行为. 这种方法促进了独立学习,提高了学生的技能,平均成绩增加了10%.
科学领域:
- 教育技术教育技术的教育技术
- 商业教育 商业教育
- 教育中的人工智能
背景情况:
- 生成型人工智能 (AI) 对高等教育中的学术诚信提出了挑战.
- 传统的评估很难减轻AI的滥用,并培养学生的基本技能.
- 商业项目管理 (BPM) 教育需要创新的方法来促进独立学习.
研究的目的:
- 评估一个团队工作框架,旨在最大限度地减少BPM中的生成AI使用.
- 评估框架对学术诚信和学生学习成果的影响.
- 确定形成性反在增强团队工作评估技能的有效性.
主要方法:
- 开发和实施一个团队工作框架,包括学术诚信标准和形成性反.
- 实证研究涉及408名本地和国际BPM学生.
- 数据收集和分析的混合方法方法.
主要成果:
- 在框架实施后,学术不端行为和延期请求的显著减少.
- 在BPM学生的平均评估分数增加10%.
- 学生对培养跨文化有效性和团队合作技能的高度满意度.
结论:
- 团队合作框架有效地维护学术诚信在生成AI的时代.
- 该框架将学生转化为独立的学习者和领导者.
- 形成性反显著提高学生在团队工作评估中的技能.
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