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数字游戏设计学习中的代际协作动态:对沟通模式的顺序分析
Ya-Ling Wang1, Chih-Chi Liu2, Chih-Chen Kuo3
1Department of Adult and Continuing Education, National Taiwan Normal University, Taipei, Taiwan.
Acta psychologica
|October 25, 2025
概括
在数字游戏设计中高绩效的老年人和年轻人表现出平衡的沟通. 低绩效群体经历了退缩和冲突,突出了学习中需要有效的代际沟通策略的需要.
科学领域:
- 数字学习环境的数字学习环境
- 人与计算机的互动.
- 协作式学习是一种协作式学习.
背景情况:
- 研究数字游戏设计学习中的代际沟通动态.
- 解决了关于数字环境中老年人和年轻人互动的研究差距.
- 使用渐进的顺序分析来研究沟通模式.
研究的目的:
- 检查高和低绩效群体之间的代际沟通差异.
- 在数字游戏设计环境中分析协作动态.
- 确定影响群体在跨代学习中的成功因素.
主要方法:
- 高性能和低性能组的比较分析.
- 对沟通模式的顺序分析.
- 包括年轻成年人 (平均年龄21.22岁) 和老年人 (平均年龄62.33岁).
主要成果:
- 高性能组显示出平衡的动力动态和直接交换.
- 低绩效群体表现出脱节和与冲突相关的退出,特别是在老年人中.
- 高绩效群体中的老年人从不情愿转变为响应能力.
结论:
- 代际合作的有效性与沟通动态有关.
- 有效的沟通策略对于加强参与数字学习至关重要.
- 这些发现有助于为各种年龄组设计包容性数字学习环境.
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